CN116913492A - Medical information management method, device, equipment and medium - Google Patents

Medical information management method, device, equipment and medium Download PDF

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Publication number
CN116913492A
CN116913492A CN202310911480.6A CN202310911480A CN116913492A CN 116913492 A CN116913492 A CN 116913492A CN 202310911480 A CN202310911480 A CN 202310911480A CN 116913492 A CN116913492 A CN 116913492A
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period
shift
scheduled
department
nursing staff
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吴俊宏
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Zhejiang Yuantu Technology Co ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063114Status monitoring or status determination for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063116Schedule adjustment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis

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Abstract

The application relates to the field of digital processing, in particular to a medical care information management method, a device, equipment and a medium, wherein the method comprises the following steps: acquiring department identification of a department, a period to be scheduled and postoperative patient information of the department in the period to be scheduled, wherein the postoperative patient information at least comprises: number of post-operative patients; based on the department identification and the period to be scheduled, predicting the common patient variation of the period to be scheduled, and determining the adjustment quantity of a scheduled nursing staff of the period to be scheduled based on the common patient variation; determining the number of shift-scheduled nursing staff corresponding to the period to be shifted based on the number of postoperative patients and the period to be shifted; the target number of shift caregivers for the period to be shifted is determined based on the shift caregivers adjustment amount and the shift caregivers number. The application effectively improves the accuracy of the shift arrangement of the nursing staff.

Description

Medical information management method, device, equipment and medium
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a medium for managing medical care information.
Background
In hospital management work, healthcare scheduling work is an important component thereof. The medical care scheduling work plays an important role in management work or patient treatment work, even the doctor-patient relationship and the medical care work efficiency are directly influenced, and the reasonable medical care scheduling can provide better service for patients, so that the reasonable medical care scheduling is particularly important.
In the related art, satisfaction values of nursing staff corresponding to a plurality of scheduling periods are acquired, comprehensive satisfaction values are determined based on the plurality of satisfaction values, when the fact that the comprehensive satisfaction value of a certain nursing staff or a plurality of nursing staff is low is determined, scheduling of the nursing staff is reduced at the same time in the next scheduling period, scheduling of nursing staff with high satisfaction values is properly increased, and meanwhile, nursing staff with the number not smaller than a preset number threshold value can be guaranteed in a department; however, when the number of patients in a certain scheduling period is large, more caregivers are required, and at this time, there may be a problem that the number of caregivers is too small to better service the patients due to typesetting taking only the caregivers' satisfaction value into consideration, as a result, the scheduling accuracy of the caregivers in the related art is poor.
Disclosure of Invention
In order to improve the accuracy of the scheduling of nursing staff, the application provides a medical care information management method, a device, equipment and a medium.
In a first aspect, the present application provides a medical care information management method, which adopts the following technical scheme:
a method of medical information management, comprising:
acquiring department identification of a department, a period to be scheduled and postoperative patient information of the department in the period to be scheduled, wherein the postoperative patient information at least comprises: number of post-operative patients;
Based on the department identification and the period to be scheduled, predicting the common patient variation of the period to be scheduled, and determining the adjustment amount of a scheduled nursing staff of the period to be scheduled based on the common patient variation;
determining the number of shift-scheduled nursing staff corresponding to the shift-scheduled time period based on the number of postoperative patients and the shift-scheduled time period; and determining the target shift attendant number of the shift waiting period based on the shift attendant adjustment amount and the shift attendant number.
In one possible implementation manner, the predicting the common patient variation of the period to be scheduled based on the department identifier and the period to be scheduled includes:
matching the period to be scheduled with a plurality of preset disease high-incidence periods, and determining whether the period to be scheduled is located in any preset disease high-incidence period;
if yes, acquiring a target department identification of a disease corresponding to a target disease high-incidence period, and determining whether the department identification is the same as the target department identification, wherein the target disease high-incidence period is a preset disease high-incidence period in which a waiting period is located; if the historical common patient variation amounts are the same, acquiring a plurality of historical common patient variation amounts corresponding to the department, and predicting the common patient variation amount of the period to be scheduled based on the historical common patient variation amounts.
In one possible implementation manner, the determining, based on the number of postoperative patients and the period to be scheduled, the number of scheduled caregivers corresponding to the period to be scheduled includes:
acquiring current physical sign data and operation ending time length corresponding to all postoperative patients in the department;
determining a care requirement level for the postoperative patient based on the number of postoperative patients, the current physical sign data and the operation end time period;
and determining the number of the shift nursing staff corresponding to the nursing demand level based on the corresponding relation between the preset nursing demand level and the number of the shift nursing staff and the nursing demand level, and determining the shift nursing staff as the number of the shift nursing staff in the period to be shifted.
In one possible implementation, the evaluating the care requirement level of the post-operative patient based on the number of post-operative patients, the current physical sign data, and the end-of-operative duration includes:
for each postoperative patient, acquiring age information of the postoperative patient;
determining a current recovery level of the postoperative patient based on the age information and the current physical sign data;
Predicting the recovery grade of each postoperative patient in a waiting period according to the current recovery grade and the operation ending time length;
and evaluating the nursing requirement level of the postoperative patients based on the number of the postoperative patients and the recovery levels corresponding to the postoperative patients in all the waiting period.
In one possible implementation manner, after the determining the target shift care personnel number of the period to be shifted based on the shift care personnel adjustment amount and the shift care personnel number, the method further includes:
acquiring corresponding historical scheduling information of all nursing staff of the department within a preset time period, wherein the historical scheduling information comprises: the time of the day shift and the night shift;
determining first shift scores corresponding to all nursing staff respectively based on a corresponding relation between preset shift time and first shift scores and the shift time;
determining a second shift score corresponding to each night shift time corresponding to all nursing staff based on a corresponding relation between a preset night shift time and a second shift score and the night shift time;
and determining the scheduling sequence corresponding to all the nursing staff of the department according to the sequence from low to high based on the scheduling score sum, and scheduling all the nursing staff of the department based on the scheduling sequence.
In one possible implementation, before the scheduling all caregivers in the department based on the scheduling order, the method further includes:
acquiring the corresponding leave information of all nursing staff of the department in the period to be scheduled, wherein the leave information comprises the following steps: requiring leave-out and leave-out time;
if the leave request information of any nursing staff is that leave requests are needed, acquiring the identification information of the target nursing staff, and determining whether to screen the identification information of the target nursing staff or not based on the leave request time length;
accordingly, the scheduling all caregivers in the department based on the scheduling sequence includes:
if yes, scheduling all the caregivers screened out from the department based on the scheduling sequence.
In one possible implementation, before the scheduling all caregivers in the department based on the scheduling order, the method further includes:
acquiring the patient evaluation scores corresponding to all the scheduling nursing staff respectively;
judging whether the patient evaluation score corresponding to any shift nursing staff is not larger than a preset patient evaluation score threshold;
if yes, updating the scheduling sequence;
Accordingly, the scheduling all caregivers in the department based on the scheduling sequence includes:
and scheduling all nursing staff in the department based on the updated scheduling sequence.
In a second aspect, the present application provides a medical care information management apparatus, which adopts the following technical scheme:
the system comprises an acquisition module, a management module and a management module, wherein the acquisition module is used for acquiring department identification of a department, a period to be scheduled and postoperative patient information of the department in the period to be scheduled, and the postoperative patient information at least comprises: number of post-operative patients;
the nursing staff adjustment amount determining module is used for predicting the common patient change amount of the period to be scheduled based on the department identification and the period to be scheduled, and determining the adjustment amount of the nursing staff to be scheduled in the period to be scheduled based on the common patient change amount; the scheduling staff number determining module is used for determining the number of scheduling nursing staff corresponding to the period to be scheduled based on the number of postoperative patients and the period to be scheduled;
and the target shift attendant number determining module is used for determining the target shift attendant number of the period to be shifted based on the shift attendant adjustment amount and the shift attendant number.
In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: the healthcare information management method according to any one of the first aspects is performed.
In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium having stored thereon a computer program which, when executed in a computer, causes the computer to perform the healthcare information management method according to any one of the first aspects.
In summary, the application at least comprises the following beneficial technical effects:
part of diseases have the characteristic of timeliness, so that the number of patients in different time periods is different, nursing service is better provided, the change quantity of common patients is predicted according to the department identification and the time period to be scheduled, and the adjustment quantity of the scheduled nursing staff is determined according to the change quantity of the patients, so that the problem of emotional dissatisfaction of the patients caused by too few nursing staff in the time period to be scheduled is avoided; the recovery period of the postoperative patient is critical, and the nursing staff needs to spend more energy to care the postoperative patient, so that the number of the shift nursing staff needs to be determined according to the number of the postoperative patient and the period to be shifted so as to better serve the postoperative patient; and then the target shift-out nursing staff quantity is determined according to the shift-out nursing staff adjustment quantity and the shift-out nursing staff quantity, and the shift-out nursing staff quantity in the shift-out period is determined from the angles of the common patient and the postoperative patient.
Drawings
Fig. 1 is a flow chart of a medical care information management method according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a medical care information management device according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to fig. 1 to 3.
The present embodiment is merely illustrative of the present application and is not intended to limit the present application, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as necessary, but are protected by patent laws within the scope of the present application.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application are clearly and completely described, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the application are described in further detail below with reference to the drawings.
The embodiment of the application provides a medical care information management method which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, or the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, as shown in fig. 1, the method includes steps S101, S102, S103, and S104, where:
Step S101: acquiring identification of a department, a period to be scheduled and postoperative patient information of the department in the period to be scheduled, wherein the postoperative patient information at least comprises: number of patients post-operative.
Specifically, after receiving the scheduling request, the identification of the department, the period to be scheduled and the patient information are acquired, and a monitoring program is integrated in the electronic device in advance, wherein the monitoring program is used for monitoring the triggering behavior of the scheduling request, and once the scheduling request is monitored to be triggered, the information corresponding to the department to be scheduled is acquired. Specifically, when the user determines to schedule, a scheduling instruction is automatically generated, wherein the manner of determining the scheduling may include: the user confirms the scheduling by clicking a scheduling button on the application program, and confirms the scheduling by voice, and when the electronic equipment detects that the user triggers the scheduling request, the electronic equipment acquires corresponding information.
The identification of the department is input into the electronic device in advance, and may be a department number, for example: pediatric first, pediatric second, and pediatric third rooms. In the embodiment of the application, the period to be scheduled is preferably one week in combination with the actual situation; it can be understood that, in general, scheduling needs to be performed in advance, that is, it is determined that time information corresponding to scheduling needs to be earlier than start time information corresponding to a period to be scheduled, and the embodiment of the present application does not limit the advance time, and may be one week or two weeks in advance; the post-operation patient information of the department in the period to be scheduled may be obtained by the electronic device from a patient data database, where the patient information database includes: patient identification information, patient procedure type, patient procedure time, patient severity level, and patient medication information, the data in the patient information database may be entered in advance for a nurse or doctor. The postoperative patient is a patient who has completed the operation and needs hospitalization for continuous treatment in a waiting period.
Step S102: based on the department identification and the period to be scheduled, the common patient variation of the period to be scheduled is predicted, and the adjustment amount of the scheduled nursing staff of the period to be scheduled is determined based on the common patient variation.
In particular, some diseases have temporal characteristics, for example, in the case of trimester is a period of high incidence of allergic rhinitis, and in the case of juniper, juniper and juniper are periods of high incidence of gastroenteritis and thermal jet disease; for the period of high incidence, the number of patients in hospital is obviously increased, and for better patient service, nursing staff with the number more than that of non-disease high incidence periods are required to be arranged, so that the change amount of common patients is required to be predicted, the adjustment amount of the nursing staff can be accurately determined according to the change amount of the common patients, and the problem that the patients are not full of emotion due to the fact that the number of the nursing staff is too small is avoided. In the embodiment of the application, the nursing staff is a nurse, and the common patient can be a patient needing simple treatment, for example, the patient has a common cold and needs hospitalization and transfusion treatment.
Step S103: and determining the number of shift-scheduled nursing staff corresponding to the shift-scheduled time period based on the number of postoperative patients and the shift-scheduled time period.
Specifically, each function of the body of the patient after the operation is in the recovery process, more nursing staff are needed to take care in the treatment process to prevent the postoperative infection problem, and the number of the postoperative patients is excessive in the period of waiting for the shift, so that the patient is better attended, and more nursing staff are needed.
Step S104: the target number of shift caregivers for the period to be shifted is determined based on the shift caregivers adjustment amount and the shift caregivers number.
Specifically, the target shift attendant number can be determined by a target shift attendant number calculation formula: the target shift care personnel amount=shift care personnel adjustment amount+shift care personnel amount, it can be understood that in the embodiment of the present application, the change trend corresponding to the common patient change amount is increased for the patient, and at this time, the corresponding shift care personnel adjustment amount is also correspondingly increased, so that the target shift care personnel amount can be determined by summing.
In the embodiment of the application, part of diseases have the characteristic of timeliness, so that the number of patients in different time periods is different, and the nursing service is better provided, so that the common patient variation is predicted according to the department identification and the time period to be scheduled, and the adjustment amount of the scheduled nursing staff is determined according to the patient variation, so that the problem of emotional dissatisfaction of the patient caused by too few nursing staff in the time period to be scheduled is avoided; the recovery period of the postoperative patient is critical, and the nursing staff needs to spend more energy to care the postoperative patient, so that the number of the shift nursing staff needs to be determined according to the number of the postoperative patient and the period to be shifted so as to better serve the postoperative patient; and then the target shift-out nursing staff quantity is determined according to the shift-out nursing staff adjustment quantity and the shift-out nursing staff quantity, and the shift-out nursing staff quantity in the shift-out period is determined from the angles of the common patient and the postoperative patient.
In one possible implementation manner of the embodiment of the present application, step S102, predicting the patient variation of the waiting period based on the department identifier and the waiting period, includes steps S1021-S1023 (not shown in the figure), wherein:
step S1021: and matching the waiting period with a plurality of preset disease high-incidence periods, and determining whether the waiting period is positioned in any preset disease high-incidence period.
Specifically, the multiple preset disease high-incidence periods may be preset by a related technician and input into the electronic device in advance, and the high-incidence periods corresponding to different diseases may be the same or different, which is to be understood that, in combination with the actual situation, the duration corresponding to any disease high-incidence period should be at least one week; in the embodiment of the application, the determining process of the disease high incidence period specifically can include: acquiring the number of patients in a department of a certain day of treatment, judging whether the number of patients is a preset numerical multiple of the number of patients in a common period, if so, determining the day of treatment as a disease high incidence day, and judging a plurality of continuous days of treatment until the number of patients in a certain day of treatment is smaller than the preset numerical multiple of the number of patients in the common period, wherein in the embodiment of the application, the preset numerical multiple is preferably 1.5 according to actual conditions so as to be obviously different from the number of patients in the common period, and further determining the disease high incidence period corresponding to each of a plurality of diseases; judging the period to be scheduled, for example, the period of the day of the period to be scheduled is 3 months 11 days to 3 months 17 days, and the period of the high incidence of allergic rhinitis is 3 months 1 day to 3 months 31 days, so that the period to be scheduled can be determined to be positioned in the period of the high incidence of diseases; if the period to be scheduled is 2 months 24 days to 3 months 1 day, the period to be scheduled can still be determined to be positioned in the disease high-incidence period; if the waiting period is within the high-incidence period, step S1022 is performed. Otherwise, the period to be scheduled is not the period with high incidence of diseases, the change amplitude of the number of patients to be treated is smaller, and the change quantity of the patients can be directly determined to be 0.
Step S1022: if yes, acquiring a target department identification of the disease corresponding to the target disease high-incidence period, and determining whether the department identification is the same as the target department identification, wherein the target disease high-incidence period is a preset disease high-incidence period in which the period to be scheduled is located.
Specifically, the target departments of the diseases corresponding to the target disease high incidence periods may be stored in the electronic device in advance for the related technicians, and each target department of the diseases corresponding to the target disease high incidence periods is one. For example, when the disease corresponding to the high incidence period of the target disease is allergic rhinitis, then the target department may be the otorhinolaryngology department; when influenza is the case, then the target department may be the respiratory department; in the case of a heat-shooting disease, the target department may be an emergency department. Further, whether the department identification is the same as the target department identification can be determined based on the text matching algorithm, the embodiment of the application does not limit the specific text matching algorithm, the user can set the text matching algorithm by himself, and if the department identification is the same as the target department identification, step S1023 is executed. If the two types of patients are different, the fact that the period to be scheduled is located in the period of high incidence of diseases is indicated, but the number of the common patients received by the department is not changed greatly, and therefore the change quantity of the common patients can be determined to be 0.
Step S1023: if the historical common patient variation amounts are the same, acquiring a plurality of historical common patient variation amounts corresponding to the departments, and predicting the common patient variation amounts of the waiting period based on the historical common patient variation amounts.
Specifically, a plurality of historical common patient variables mayFor the electronic device to record and store in real time, it is understood that the statistical period corresponding to the variation of the historical common patients is month, for example, the number of common patients is A in 3 months on average per week, and the number of common patients is B in 2 months on average per week, A>B, the corresponding change amount is Δa=a-B, where Δa is the patient change amount, and further, the plurality of historical normal patient change amounts may be normal patient change amounts corresponding to the plurality of different years, for example, normal patient change amounts of 2023, 3, 1, 3, 7 days need to be predicted, and at this time, an average weekly historical normal patient change amount corresponding to 2022, 3, month, 2021, 3, month, an average weekly historical normal patient change amount corresponding to 2020, 3, month, and an average weekly historical normal patient change amount corresponding to 2020, 3, month may be obtained. Further, the prediction of the general patient variation for the period to be scheduled can be achieved by calculating the average historical general patient variation. For example, the average weekly historical average patient variance corresponding to month 3 of 2022 is ΔA 1 Average weekly historical average patient variance corresponding to month 3 of 2022 was ΔA 2 Average weekly historical patient variance Δa corresponding to month 3 of 2020 3That is, the variation of the ordinary patients on days 1-3 and 7 of 3 of 2023 is +.>
In the embodiment of the application, the period to be scheduled and a plurality of preset disease high-incidence periods are matched to determine the disease high-incidence period corresponding to the period to be scheduled; and judging whether the department is a patient needing to receive the corresponding disease, if so, accurately predicting the variation of the common patient by taking the historical data as a reference.
In one possible implementation manner of the embodiment of the present application, step S103, determining the number of shift care staff in the shift waiting period based on the number of postoperative patients and the shift waiting period includes steps S1031-S1033 (not shown in the figure), wherein: step S1031: and acquiring current physical sign data and operation ending time length corresponding to all postoperative patients in the department.
Specifically, for a postoperative patient without instrument detection, current physical sign data of the postoperative patient can be monitored regularly by a nursing staff and input into the electronic equipment, and for the postoperative patient provided with instrument monitoring, current physical sign data of the postoperative patient can be monitored by a monitoring instrument and uploaded into the electronic equipment; the operation ending time is input into the electronic device in advance, and it can be understood that the physical sign data can be determined according to the sum of the heartbeat, blood pressure and blood fat data.
Step S1032: and determining the nursing demand level of the postoperative patient based on the number of the postoperative patient, the current physical sign data and the operation ending time length.
Step S1033: based on the corresponding relation between the preset nursing demand level and the number of the scheduling nursing staff and the nursing demand level, the number of the scheduling nursing staff corresponding to the nursing demand level is determined, and the scheduling nursing staff is determined to be the number of the scheduling nursing staff in the period to be scheduled.
Specifically, for different types of surgery, the physical recovery conditions of different postoperative patients are different, and the nursing requirements corresponding to different numbers of postoperative patients with different physical recovery conditions are also different, so that the nursing requirement levels are also different, for example, when the types of surgery of postoperative patients are all surgery corresponding to severe symptoms, and the physical recovery conditions of a larger number of postoperative patients are slower, more nursing staff need to be arranged in a waiting period; if nursing staff is less, overload work of nursing staff can be possibly caused, so that the nursing requirement level of the patient can be accurately determined according to the number of postoperative patients, current physical sign data and operation ending time, and the satisfaction degree of the postoperative patient can be improved while the occurrence probability of overload work problems of the nursing staff is reduced.
The corresponding relation between the preset nursing demand level and the number of the scheduling nursing staff can be obtained based on a plurality of historical data and can be input into the electronic equipment in advance by related technicians, and the embodiment of the application does not limit the specific content of the corresponding relation.
In the embodiment of the application, the recovery conditions of different postoperative patients are different, and when the postoperative patients are recovered poorly, nursing staff is required to spend more energy, so that the operation information and the current physical sign data of the postoperative patients are required to be acquired, the demand level of the postoperative patients positioned in the period to be scheduled is accurately determined, and the corresponding number of the scheduled nursing staff is determined according to the demand level, so that the accuracy of determining the number of the scheduled nursing staff is effectively improved from the aspect of patients.
Step S1032, which is a possible implementation manner of the embodiment of the present application, evaluates the care requirement level of the postoperative patient based on the number of postoperative patients, the current physical sign data and the operation end time period, and may specifically include step SA1 to step SA4 (not shown in the figure), where:
step SA1: for each postoperative patient, age information of the postoperative patient is acquired.
Age information of the postoperative patient is input into the electronic device in advance.
Step SA2: based on the age information and the current physical sign data, a current recovery level of the postoperative patient is determined.
Specifically, standard physical sign data corresponding to age information can be determined according to a preset corresponding relation between the age information and the standard physical sign data, then a difference value between the physical sign data and the standard physical sign data is determined, and a current recovery level is determined according to a preset corresponding relation between the difference value and the recovery level.
Step SA3: and predicting the recovery information of the postoperative patients in the period to be scheduled according to the current recovery grade and the operation ending time length aiming at each postoperative patient.
Specifically, the recovery information includes: the recovery is normal or abnormal, and the recovery abnormality can be that the recovery speed is slow or the expected internal recovery effect is not achieved. Determining a standard operation ending time length corresponding to the current recovery grade according to a corresponding relation between the preset recovery grade and the standard operation ending time length, judging whether the standard operation ending time length is the same as the operation ending time length, and if so, determining that the recovery information of the postoperative patient is normal; otherwise, it may be determined that the recovery is abnormal, where the corresponding relationship between the recovery level and the standard operation end time is obtained by the relevant personnel according to the historical data, which is not limited by the embodiment of the present application.
Step SA4: and evaluating the nursing demand level of the postoperative patients based on the number of the postoperative patients and the recovery information of the postoperative patients in all the waiting period.
Specifically, determining that the recovery information is the postoperative patient with the recovery abnormality according to the recovery information of all postoperative patients, and determining the number of patients corresponding to the recovery abnormality; and determining the number of the abnormal patients to be recovered according to the number of the patients corresponding to the abnormal recovery and the number of the postoperative patients, judging whether the number of the abnormal patients to be recovered is larger than a preset number threshold, if so, determining that the nursing demand level is a first nursing demand level, namely, indicating that a large number of nursing staff are needed at the moment to better meet the nursing demand of the postoperative patients, otherwise, determining that the nursing demand is a second nursing demand level, namely, the physical recovery condition of the patients in a period to be scheduled is objective, and only arranging the nursing staff of a normal number.
In the embodiment of the application, the current recovery level is determined according to the age information and the current physical sign data; predicting the recovery information of the patient according to the current recovery level and the operation ending time so as to accurately determine the actual physical condition of the postoperative patient in the period to be scheduled; and then determining the nursing demand level according to the number of postoperative patients and the recovery information of the postoperative patients in all the waiting period so as to better meet the nursing demands of the postoperative patients.
One possible implementation manner of the embodiment of the present application further includes step SB 1-step SB4 (not shown in the figure) after determining the target number of shift caregivers for the period to be shifted based on the shift caregivers adjustment amount and the shift caregivers number, wherein:
step SB1: acquiring corresponding historical scheduling information of all nursing staff of a department within a preset time period, wherein the historical scheduling information comprises: the time of the shift is continuous and the time of the night shift is long.
Specifically, in the embodiment of the present application, the preferable preset duration may be a duration corresponding to a previous shift period corresponding to a period to be shifted. The corresponding historical scheduling information of all nursing staff is obtained from a historical scheduling information database. It is understood that the on-shift time and the off-shift time are both in days. It will be appreciated that no specific shift attendant has been determined prior to the present application, and thus a comprehensive statistics of shift information for all caregivers in the department is required.
Step SB2: and determining the first scheduling scores corresponding to all nursing staff respectively based on the corresponding relation between the preset white-shift time length and the first scheduling scores and the white-shift time length.
Step SB3: and determining a second shift score corresponding to the night shift time length corresponding to each of all nursing staff based on the corresponding relation between the preset night shift time length and the second shift score and the night shift time length.
Specifically, the corresponding relation between the preset white shift time length and the first shift score and the corresponding relation between the preset night shift time length and the second shift score are all input into the electronic equipment in advance by related technicians, the corresponding relation between the white shift time length and the first shift score and the specific content of the corresponding relation between the night shift time length and the second shift score are not limited, and the user can set the corresponding relation automatically. It will be appreciated that as the first and second shift scores increase, the longer the time the carer is on the shift and/or the longer the time the night shift is on the shift, the less the corresponding carer is recommended to shift, i.e., the longer the time the carer is on the shift, indicating that the carer is more required to rest.
Step SB4: and determining the scheduling sequence corresponding to all nursing staff of the department according to the sequence from low to high based on the scheduling score sum, and scheduling all the nursing staff of the department based on the scheduling sequence.
Specifically, the higher the ranking score, the longer the time period of the connection of the nursing staff, and the more needed the rest, i.e. the lower the sum of the ranking scores, the shorter the time period of the connection of the nursing staff, and is more suitable for the ranking, and the nursing staff is sequentially ranked according to the ranking order, for example, the corresponding ranking order of the nursing staff A is 1, the corresponding ranking order of the nursing staff B is 2, the corresponding ranking order of the nursing staff C is 3, the ranking of the nursing staff A can be performed preferentially, the ranking of the nursing staff B is performed again, and finally the ranking of the nursing staff C is performed until the ranking is completed.
In the embodiment of the application, the on-duty continuous time length and the night shift continuous time length of the nursing staff of the department in the preset time length are acquired, the first shift score and the second shift score are determined according to the corresponding relation, the total of the shift scores corresponding to all the nursing staff are determined, and the nursing staff with higher scores has larger workload in the preset time length and needs to rest compared with the nursing staff with lower shift scores, so that the shift sequence can be determined according to the shift scores, the shift nursing staff is prevented from being in a long-time high-load working state, and the rationality of the shift of the nursing staff is effectively improved.
One possible implementation manner of the embodiment of the present application further includes steps SC 1-SC 2 (not shown in the figure) before performing the scheduling on all the caregivers in the department based on the scheduling sequence, wherein:
step SC1: acquiring the corresponding leave requesting information of all nursing staff of a department in a period to be scheduled, wherein the leave requesting information comprises the following steps: leave-on and leave-on durations are required.
Specifically, the corresponding leave-request information of the nursing staff is submitted to an attendance system of the hospital in advance by the nursing staff, and the electronic equipment acquires the leave-request information from the attendance system; meanwhile, the nursing staff marks a specific leave date and the leave duration in the leave date when leaving.
Step SC2: if the leave-request information of any nursing staff is that leave-request is needed, the identification information of the target nursing staff is obtained, and whether the identification information of the target nursing staff is screened out or not is determined based on the leave-request duration information.
Specifically, the identification information of the target nursing staff may be a combination of information of a department and a name corresponding to the target nursing staff, or may be a number corresponding to the target nursing staff, where the identification information of each nursing staff is different. Judging whether the leave-out time of the target nursing staff is greater than a preset leave-out time threshold, in the embodiment of the application, the preset leave-out time threshold is preferably 24 hours, and when the leave-out time of the target nursing staff is not more than 24 hours, normal nursing work of a department is not affected; if the leave-on time of the target nursing staff exceeds 24 hours, the situation that the department is in shortage of nursing staff in a short period of time can influence the normal operation of the nursing work of the department, and therefore, whether to screen the target nursing staff needs to be determined.
Accordingly, scheduling all caregivers of the department based on the scheduling sequence includes:
if yes, scheduling all the caregivers screened out from the department based on the scheduling sequence.
Further, the shift is performed for all the screened caregivers to ensure that the leave caregivers cannot be shifted.
In the embodiment of the application, if a certain shift-waiting nursing staff with longer leave time is subjected to shift, normal nursing work of a department can be influenced, so that the shift-waiting nursing staff is required to be screened out, and the shift rationality is effectively improved.
One possible implementation manner of the embodiment of the present application further includes a step SD 1-a step SD3 (not shown in the figure) before performing the scheduling on all the caregivers in the department based on the scheduling order, wherein:
step SD1: patient evaluation scores corresponding to all nursing staff are obtained.
Specifically, the patient assessment score may be obtained from a patient assessment score information base, and the patient assessment score may be obtained by scoring the actual care effort of the caregivers prior to discharge of the patient, and it is understood that each of the shift caregivers cares for a plurality of patients, and thus the patient assessment score of each of the shift caregivers is an average patient assessment score obtained based on the number of patients and each of the patient assessment scores.
Step SD2: and judging whether the patient evaluation score corresponding to any nursing staff is not larger than a preset patient evaluation score threshold.
Step SD3: if yes, updating the scheduling sequence;
accordingly, scheduling all caregivers of the department based on the scheduling sequence includes:
all caregivers of the department are scheduled based on the updated scheduling sequence.
Specifically, the preset patient evaluation score threshold may be empirically set by the relevant technician. It will be appreciated that when the patient rating score of a particular shift caregiver is not greater than the preset patient rating score threshold, it is indicated that none of the plurality of patients is satisfied with the care of the shift caregiver, i.e., the care performance and care performance attitude of the shift caregiver are to be improved. Further, if yes, step SD3 is executed to update the scheduling sequence, and the scheduling sequence of the scheduling caregivers corresponding to the patient evaluation score not greater than the preset patient evaluation score threshold may be adjusted to be the last, and if there are at least two patient evaluation scores of the scheduling caregivers not greater than the preset patient evaluation score threshold, the sequence is sequentially adjusted according to the order from the high score to the low score. And meanwhile, generating warning information for a nursing staff with the patient evaluation score not larger than a preset patient evaluation score threshold value so as to remind the nursing staff to correct in time.
In the embodiment of the application, the patient evaluation scores corresponding to all nursing staff are acquired so as to accurately determine the working capacity and the working attitude of the nursing staff, and the nursing staff with lower patient evaluation scores are reordered so as to provide better nursing service for the patient.
The above embodiment describes a medical information management method from the viewpoint of a method flow, and the following embodiment describes a medical information management apparatus from the viewpoint of a virtual module or a virtual unit, specifically the following embodiment.
An embodiment of the present application provides a medical care information management apparatus, as shown in fig. 2, where the medical care information management apparatus specifically may include:
the acquiring module 201 is configured to acquire post-operation patient information of a department, a department identifier of the department, a period to be scheduled, and the department of the period to be scheduled, where the post-operation patient information at least includes: number of post-operative patients;
a caregiver adjustment amount determining module 202, configured to predict an ordinary patient change amount of a period to be scheduled based on the department identification and the period to be scheduled, and determine a shift caregiver adjustment amount of the period to be scheduled based on the ordinary patient change amount;
the scheduling staff number determining module 203 is configured to determine the number of scheduling carestaff corresponding to the period to be scheduled based on the number of postoperative patients and the period to be scheduled;
The target shift care personnel number determining module 204 is configured to determine a target shift care personnel number of the period to be shifted based on the shift care personnel adjustment amount and the shift care personnel number.
In one possible implementation manner of the embodiment of the present application, the caregiver adjustment amount determining module 202 is specifically configured to, when executing the prediction of the common patient change amount of the period to be scheduled based on the department identification and the period to be scheduled:
matching the period to be scheduled with a plurality of preset disease high-incidence periods, and determining whether the period to be scheduled is located in any preset disease high-incidence period;
if yes, acquiring a target department identification of the disease corresponding to the target disease high-incidence period, and determining whether the department identification is the same as the target department identification, wherein the target disease high-incidence period is a preset disease high-incidence period in which a waiting period is located;
if the historical common patient variation amounts are the same, acquiring a plurality of historical common patient variation amounts corresponding to the departments, and predicting the common patient variation amounts of the waiting period based on the historical common patient variation amounts.
In one possible implementation manner of the embodiment of the present application, when the scheduling staff number determining module 203 determines the number of scheduling carestaff corresponding to the period to be scheduled based on the number of patients after surgery and the period to be scheduled, the module is configured to:
Acquiring current physical sign data and operation ending time length corresponding to all postoperative patients in a department;
determining a nursing demand level of the postoperative patient based on the number of the postoperative patient, the current physical sign data and the operation ending time length;
based on the corresponding relation between the preset nursing demand level and the number of the scheduling nursing staff and the nursing demand level, the number of the scheduling nursing staff corresponding to the nursing demand level is determined, and the scheduling nursing staff is determined to be the number of the scheduling nursing staff in the period to be scheduled.
In one possible implementation manner of the embodiment of the present application, the scheduling staff number determining module 203 is configured to, when performing the evaluation of the care requirement level of the postoperative patient based on the number of postoperative patients, the current physical sign data and the operation end time,:
for each postoperative patient, acquiring age information of the postoperative patient;
based on the age information and the current physical sign data, a current recovery level of the postoperative patient is determined. The method comprises the steps of carrying out a first treatment on the surface of the
Predicting the recovery grade of the postoperative patient in the period to be scheduled according to the current recovery grade and the operation ending time length aiming at each postoperative patient;
and evaluating the nursing requirement level of the postoperative patients based on the number of the postoperative patients and the recovery levels corresponding to the postoperative patients in all the waiting period.
In one possible implementation manner of the embodiment of the present application, the medical care information management device further includes:
the scheduling sequence determining module is used for:
acquiring corresponding historical scheduling information of all nursing staff of a department within a preset time period, wherein the historical scheduling information comprises: the time of the day shift and the night shift;
determining first scheduling scores corresponding to all nursing staff respectively based on a preset corresponding relation between the first scheduling scores and the first scheduling time;
determining a second shift score corresponding to the night shift time length corresponding to each of all nursing staff based on a preset corresponding relation between the night shift time length and the second shift score and the night shift time length;
and determining the scheduling sequence corresponding to all nursing staff of the department according to the sequence from low to high based on the scheduling score sum, and scheduling all the nursing staff of the department based on the scheduling sequence.
In one possible implementation manner of the embodiment of the present application, the medical care information management device further includes:
and a screening module for:
acquiring the corresponding leave requesting information of all nursing staff of a department in a period to be scheduled, wherein the leave requesting information comprises the following steps: requiring leave-out and leave-out time;
If the leave-request information of any nursing staff is that leave-request is needed, acquiring the identification information of the target nursing staff, and determining whether to screen the identification information of the target nursing staff or not based on the leave-request time length;
accordingly, the scheduling order determining module is configured to, when performing scheduling of all caregivers in the department based on the scheduling order: if yes, scheduling all the caregivers screened out from the department based on the scheduling sequence.
In one possible implementation manner of the embodiment of the present application, the medical care information management device further includes:
an updating module for:
acquiring the patient evaluation scores corresponding to all the scheduling nursing staff respectively;
judging whether the patient evaluation score corresponding to any shift nursing staff is not larger than a preset patient evaluation score threshold;
if yes, updating the scheduling sequence;
accordingly, the scheduling order determining module is configured to, when performing scheduling of all caregivers in the department based on the scheduling order: all caregivers of the department are scheduled based on the updated scheduling sequence.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, a specific working process of the medical care information management apparatus described above may refer to a corresponding process in the foregoing method embodiment, which is not described herein again.
In an embodiment of the present application, as shown in fig. 3, an electronic device shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device is not limited to the embodiment of the present application.
The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.
Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or type of bus.
The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 303 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the application.
Embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations are intended to be comprehended within the scope of the present application.

Claims (10)

1. A method of managing healthcare information, comprising:
acquiring department identification of a department, a period to be scheduled and postoperative patient information of the department in the period to be scheduled, wherein the postoperative patient information at least comprises: number of post-operative patients;
based on the department identification and the period to be scheduled, predicting the common patient variation of the period to be scheduled, and determining the adjustment amount of a scheduled nursing staff of the period to be scheduled based on the common patient variation;
determining the number of shift-scheduled nursing staff corresponding to the shift-scheduled time period based on the number of postoperative patients and the shift-scheduled time period;
and determining the target shift attendant number of the shift waiting period based on the shift attendant adjustment amount and the shift attendant number.
2. The medical information management method according to claim 1, wherein the predicting the common patient variation of the period to be scheduled based on the department identification and the period to be scheduled includes:
matching the period to be scheduled with a plurality of preset disease high-incidence periods, and determining whether the period to be scheduled is located in any preset disease high-incidence period;
If yes, acquiring a target department identification of a disease corresponding to a target disease high-incidence period, and determining whether the department identification is the same as the target department identification, wherein the target disease high-incidence period is a preset disease high-incidence period in which a waiting period is located;
if the historical common patient variation amounts are the same, acquiring a plurality of historical common patient variation amounts corresponding to the department, and predicting the common patient variation amount of the period to be scheduled based on the historical common patient variation amounts.
3. The medical information management method according to claim 1, wherein the determining the number of shift care workers corresponding to the period to be shifted based on the number of postoperative patients and the period to be shifted includes:
acquiring current physical sign data and operation ending time length corresponding to all postoperative patients in the department;
determining a care requirement level for the postoperative patient based on the number of postoperative patients, the current physical sign data and the operation end time period;
and determining the number of the shift nursing staff corresponding to the nursing demand level based on the corresponding relation between the preset nursing demand level and the number of the shift nursing staff and the nursing demand level, and determining the shift nursing staff as the number of the shift nursing staff in the period to be shifted.
4. The method of claim 3, wherein the evaluating the care requirement level of the post-operative patient based on the number of post-operative patients, the current physical sign data, and the end-of-operative duration comprises:
for each postoperative patient, acquiring age information of the postoperative patient;
determining a current recovery level of the postoperative patient based on the age information and the current physical sign data;
predicting the recovery grade of each postoperative patient in a waiting period according to the current recovery grade and the operation ending time length;
and evaluating the nursing requirement level of the postoperative patients based on the number of the postoperative patients and the recovery levels corresponding to the postoperative patients in all the waiting period.
5. The medical information management method according to claim 1, wherein after the target shift care person number of the period to be shifted is determined based on the shift care person adjustment amount and the shift care person number, further comprising:
acquiring corresponding historical scheduling information of all nursing staff of the department within a preset time period, wherein the historical scheduling information comprises: the time of the day shift and the night shift;
Determining first shift scores corresponding to all nursing staff respectively based on a corresponding relation between preset shift time and first shift scores and the shift time;
determining a second shift score corresponding to each night shift time corresponding to all nursing staff based on a corresponding relation between a preset night shift time and a second shift score and the night shift time;
and determining the scheduling sequence corresponding to all the nursing staff of the department according to the sequence from low to high based on the scheduling score sum, and scheduling all the nursing staff of the department based on the scheduling sequence.
6. The medical information management method according to claim 5, wherein before the scheduling of all caregivers of the department based on the scheduling order, further comprising:
acquiring the corresponding leave information of all nursing staff of the department in the period to be scheduled, wherein the leave information comprises the following steps: requiring leave-out and leave-out time;
if the leave request information of any nursing staff is that leave requests are needed, acquiring the identification information of the target nursing staff, and determining whether to screen the identification information of the target nursing staff or not based on the leave request time length;
Accordingly, the scheduling all caregivers in the department based on the scheduling sequence includes:
if yes, scheduling all the caregivers screened out from the department based on the scheduling sequence.
7. The medical information management method according to claim 5, wherein before the scheduling of all caregivers of the department based on the scheduling order, further comprising:
acquiring the patient evaluation scores corresponding to all the scheduling nursing staff respectively;
judging whether the patient evaluation score corresponding to any shift nursing staff is not larger than a preset patient evaluation score threshold;
if yes, updating the scheduling sequence;
accordingly, the scheduling all caregivers in the department based on the scheduling sequence includes:
and scheduling all nursing staff in the department based on the updated scheduling sequence.
8. A medical care information management apparatus, comprising:
the system comprises an acquisition module, a management module and a management module, wherein the acquisition module is used for acquiring department identification of a department, a period to be scheduled and postoperative patient information of the department in the period to be scheduled, and the postoperative patient information at least comprises: number of post-operative patients;
The nursing staff adjustment amount determining module is used for predicting the common patient change amount of the period to be scheduled based on the department identification and the period to be scheduled, and determining the adjustment amount of the nursing staff to be scheduled in the period to be scheduled based on the common patient change amount;
the scheduling staff number determining module is used for determining the number of scheduling nursing staff corresponding to the period to be scheduled based on the number of postoperative patients and the period to be scheduled;
and the target shift attendant number determining module is used for determining the target shift attendant number of the period to be shifted based on the shift attendant adjustment amount and the shift attendant number.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: the medical information management method according to any one of claims 1 to 7 is performed.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed in a computer, causes the computer to perform the medical care information management method of any one of claims 1 to 7.
CN202310911480.6A 2023-07-25 2023-07-25 Medical information management method, device, equipment and medium Pending CN116913492A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117976174A (en) * 2024-03-31 2024-05-03 四川省肿瘤医院 Self-adaptive scheduling system for intravenous catheter department

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117976174A (en) * 2024-03-31 2024-05-03 四川省肿瘤医院 Self-adaptive scheduling system for intravenous catheter department
CN117976174B (en) * 2024-03-31 2024-06-04 四川省肿瘤医院 Self-adaptive scheduling system for intravenous catheter department

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