CN114244871A - Intelligent hospital convenient for people to see a doctor service system and method thereof - Google Patents

Intelligent hospital convenient for people to see a doctor service system and method thereof Download PDF

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CN114244871A
CN114244871A CN202111570437.5A CN202111570437A CN114244871A CN 114244871 A CN114244871 A CN 114244871A CN 202111570437 A CN202111570437 A CN 202111570437A CN 114244871 A CN114244871 A CN 114244871A
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CN114244871B (en
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刘祥贵
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Huaxu Technology Development Shenzhen Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C11/00Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
    • 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
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C11/00Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere
    • G07C2011/04Arrangements, systems or apparatus for checking, e.g. the occurrence of a condition, not provided for elsewhere related to queuing systems

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Abstract

The invention belongs to the technical field of intelligent hospitals, and relates to a convenient medical service system and a convenient medical service method for the intelligent hospital, which comprises the following steps: the server, still include: the system comprises an identity card acquisition module, a cloud and mobile equipment, wherein a communication module, a processing module and a storage module are arranged in a server, the identity card acquisition module is in single-line communication with the communication module, the communication module is in mutual communication with the processing module, the processing module is in mutual communication with the storage module, the communication module is in mutual communication with the cloud, and the cloud is in mutual communication with the mobile equipment.

Description

Intelligent hospital convenient for people to see a doctor service system and method thereof
Technical Field
The invention belongs to the technical field of intelligent hospitals, and relates to a convenient-to-see-for-the-people service system and a convenient-to-see-for-the-people service method for an intelligent hospital.
Background
Along with the development and progress of society, people pay more and more attention to physical life and mental life, but people neglect self health while pursuing high-quality life, the average service life of people is higher and higher along with the improvement of medical level, an intelligent system of a hospital needs to be improved in order to ensure that people can see a doctor quickly and timely, the doctor can see the doctor in the hospital at present, a plurality of problems exist in the doctor, the doctor queuing to see the doctor causes great pressure on the treatment efficiency of the hospital, a plurality of departments often have long queues at the door, and the departments are in an idle state, so that a convenient for people to see the doctor system to improve the current condition is needed.
The applicant finds that the national intellectual property office discloses an intelligent triage management system for hospitals and a medical server used in the intelligent triage management system with the application number (CN201810144840.3) in 2018, 8, 28 and specifically discloses the intelligent triage management system comprising: the system comprises a medical server, a self-service sign-in terminal, a primary triage screen and a secondary triage screen; the medical server generates a prepared treatment queue according to the appointment registration information and transmits the prepared treatment queue to the self-service sign-in terminal; the medical server receives first sign-in information of the patient sent by the self-service sign-in terminal, generates a first treatment queue according to the first sign-in information and the prepared treatment queue, and sends the first treatment queue to a first triage screen; the medical server receives second patient sign-in information sent by the patient self-service sign-in terminal, generates a second treatment queue according to the second sign-in information and the first treatment queue, and sends the second treatment queue to the secondary triage screen;
the applicant also found through search that the national intellectual property office published application number (CN202110619470.6) mobile hospital system for emergency medical treatment on 9/7/2021, and the specific disclosure includes: the emergency treatment system comprises a background subsystem, an emergency treatment subsystem and a mobile hospital subsystem, wherein the emergency treatment subsystem comprises a communication module, a control module, a display module and a positioning module, the communication module receives and displays emergency treatment scheduling information, the positioning module positions the real-time position of the emergency treatment subsystem, and the control module acquires the real-time position and sends the real-time position to the background subsystem through the communication module; the first-aid subsystem comprises a road condition module, the road condition module judges whether road congestion exists at a real-time position, when the road congestion exists, the control module can cover the requirement of a first-aid request according to the first-aid subsystem and judges whether field treatment is needed, when the first-aid request needs the field treatment, the control module receives and displays the mobile hospital scheduling information of the mobile hospital subsystem through the communication module, and the two methods cannot solve the problem that the queuing sequence is determined through the diagnosis sequence and the reminding time is determined to avoid long-time queuing.
The invention provides an intelligent hospital convenient for people to see a doctor service system and a method thereof, which aim to ensure that a queuing sequence is determined through a doctor seeing sequence and a reminding time is determined to avoid long-time queuing.
Disclosure of Invention
In order to solve the problems that partial department patients are blocked and some departments are in an idle state compared with a traditional reservation queuing mode, the treatment efficiency is reduced, and a large amount of noise is generated outside departments due to more people to influence the treatment of doctors, the invention further provides the convenient treatment service system and the convenient treatment service method for the intelligent hospital, which can reasonably distribute the order of asking for departments of the patients and avoid long-time queuing.
An intelligent hospital convenient for people to see a doctor service system comprises: the server, still include: ID card collection module, high in the clouds and mobile device are provided with communication module, processing module and storage module in the server, ID card collection module and communication module single line communication, communication module and processing module intercommunication, processing module and storage module intercommunication each other, communication module and high in the clouds intercommunication, high in the clouds and mobile device intercommunication each other.
Further: the identity card acquisition module is an identity card information acquisition device.
Further: the processing module comprises a comparison module and a calculation module.
A convenient for people to see a doctor service method of an intelligent hospital comprises the following specific steps:
step 1, determining a clinic sequence 1-n according to a registration sequence;
step 2, determining a reminding sequence H as { H ] according to the treatment sequence1,H2,...Hn};
And step 3, determining the early reminding time G, and carrying out treatment according to the reminding sequence H.
Further: the method for the treatment sequence comprises the following steps:
step 1.1 determining the registration order A of existing patients as { A }1,A2,A3...AMM is the number of existing patients;
step 1.2 determining the order of registration B of the first patient as { B1,B2,B3...BNN is the number of first patients;
step 1.3, after the registration sequence of the patient to be treated for the first time is inserted into the registration sequence of the existing patient, generating a treatment sequence {1,2, 3.., M +1, M + 2.. M + N }; n is M + N.
Further: the method for determining the early reminding time G comprises the following steps:
step 3.1 to determine whether the patient at the first visit is an existing patient or a first-visit patient, determine the time T required for the visitNeed to
Step 3.2 if the first patient is a first visit patient, TNeed to=TEstimated need;TEstimated need=TWalking device+TTreatment method
TNeed toTime of visit required for the patient, TEstimated needEstimated time of visit, T, required for the patient at the first visitWalking deviceEstimate time, T, for the first visit of the patient's walk from ward to target departmentTreatment methodEstimating time for the first visit of the patient;
step 3.3 if the first patient is a patient who has been visited, TNeed to=TThe existing patients need;TThe existing patients need=THas already walked+THas been treated
TNeed toTime of visit required for the patient, TThe existing patients needEstimate time, T, for the patient's visitHas already walkedEstimating time T for the walk of the existing patient from ward to target departmentHas been treatedThe estimated time for the patient to see a doctor;
step 3.4 determining whether the second patient is an existing patient or a first-visit patient, determining the required ambulation time T for the patientLine of
Step 3.5 if the second patient is an established patient, TLine of=THas already walked
Step 3.6 if the second patient is the first-visit patient, TLine of=TWalking device
Step 3.7 determines that the advance reminding time G ═ TThe last patient needs-TThe patient moves
Further: walk estimated time TWalking deviceThe estimation method comprises the following steps:
step 3.2.1 determining the estimated velocity VEstimation of
Step 3.2.2 determining the estimated route SEstimation of
Step 3.2.3 determining the estimated time TWalking device,TWalking device=SEstimation of/VEstimation of
Further: determining a predicted velocity VEstimation ofThe method comprises the following steps:
step 3.2.1.1, classifying the patients who are firstly seen according to the sex to generate a male patient set Q and a female patient set P;
step 3.2.1.2, arranging the sets Q and P in the order of the ages from small to big;
step 3.2.1.3 determining the estimated speed V corresponding to the set Q and the set P by comparing with the comparison tableEstimation ofGathering;
step 3.2.1.4 determining the corresponding VEstimation of
Further, the estimated distance S is determinedEstimation ofThe method comprises the following steps:
step 3.2.2.1, determining an initial ward of the patient through the mobile equipment, and setting the initial ward as a starting point;
step 3.2.2.2, determining a target department detected by the patient, and setting the target department as an end point;
step 3.2.2.3 determining the distance between the starting position and the target department according to the geographical distribution of the hospital, and determining the estimated distance SEstimation of
Further, the patient T who has been treatedHas already walkedThe determination method comprises the following steps:
step 3.3.1 determines the location of the existing patient's department as the starting point,
determining 0-2 m of a first route interval, and acquiring corresponding time T of the interval through a bracelet0And T2Speed of first course section
Figure BDA0003423518830000041
Determining a second route interval of 2-4 m, and determining corresponding time T of the interval through the bracelet2And T4Second speed between passes
Figure BDA0003423518830000042
Determining a third route interval of 4-6 m, and determining time T corresponding to the interval point through the bracelet4And T6Second speed between passes
Figure BDA0003423518830000043
Figure BDA0003423518830000044
Step 3.3.2, determining a target department detected by the patient, and setting the target department as an end point;
step 3.3.3, determining the distance between the initial position and the target department according to the geographical distribution of the hospital;
step 3.3.4 determining the distance between the starting position and the target department according to the geographical distribution of the hospital, and determining the estimated distance SEstimation of
Step 3.3.5 determining the walk time T of an existing patientHas already walked,THas already walked=SEstimation of/VAverage
The invention has the advantages that:
the invention has the beneficial effects of providing the convenient-to-see service system and the convenient-to-see service method for the intelligent hospital, and being suitable for the intelligent hospital. The service method for facilitating the patient to see a doctor can calculate the time required by the patient to arrive at a department, remind the patient in advance and effectively avoid the patient from queuing for a long time.
Drawings
FIG. 1 is a schematic diagram of a system structure of an intelligent hospital convenient for people to see a doctor service system and a method thereof according to the present invention;
FIG. 2 is a flow chart of a method for determining a medical treatment sequence in an intelligent hospital medical treatment service system and a method thereof according to the present invention;
FIG. 3 is a flow chart of a method for determining advanced reminding time for the intelligent hospital convenient medical service system and the method thereof according to the present invention;
FIG. 4 is a flowchart of a method for determining estimated walking time in an intelligent hospital medical service system and method thereof according to the present invention;
FIG. 5 is a flowchart of a method for determining a predicted distance for an intelligent hospital convenient medical service system and a method thereof according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the installation methods and technical terms mentioned in the present invention are technical terms that are already clearly known in the technical field, and thus, the explanation thereof is not repeated. Moreover, the same reference numerals are used for the same components, which do not affect and should not constitute an exact understanding of the technical solutions for a person skilled in the art.
The first embodiment is described with reference to fig. 1 to 5:
the invention provides an intelligent hospital convenient for people to see a doctor service system, which specifically comprises the following steps: a server, characterized by: further comprising: identity card collection module, high in the clouds and mobile device, be provided with communication module in the server, processing module and storage module, identity card collection module and communication module single line communication, communication module and processing module intercommunication, processing module and storage module intercommunication, communication module and high in the clouds intercommunication, high in the clouds and mobile device intercommunication each other, identity card collection module is identity card information collection station, processing module includes comparison module and calculation module, mobile device is the bracelet, the storage has age range contrast value and reference threshold value in the storage module.
Example two, with reference to fig. 1-5, is illustrated:
a convenient for people to see a doctor service method of an intelligent hospital comprises the following concrete implementation steps:
step 1, determining the treatment sequence 1-n according to the registration sequence;
step 1.1 determining the registration order A of existing patients as { A }1,A2,A3...AMM is the number of existing patients;
step 1.2 determining the order of registration B of the first patient as { B1,B2,B3...BNN is the number of first patients;
step 1.3, after the registration sequence of the patient to be treated for the first time is inserted into the registration sequence of the existing patient, generating a treatment sequence {1,2, 3.., M +1, M + 2.. M + N }; n is M + N.
Step 2, determining the reminding sequence H as { H according to the treatment sequence1,H2,...Hn};
Step 3, determining the advanced reminding time G, and carrying out treatment according to the reminding sequence H;
step 3.1 to determine whether the patient at the first visit is an existing patient or a first-visit patient, determine the time T required for the visitNeed to
Step 3.2 if the first patient is a first visit patient, TNeed to=TEstimated need;TEstimated need=TWalking device+TTreatment method
Step 3.2.1 determining the estimated velocity VEstimation of
Step 3.2.1.1, classifying the patients who are firstly seen according to the sex to generate a male patient set Q and a female patient set P;
step 3.2.1.2, arranging the sets Q and P in the order of the ages from small to big;
step 3.2.1.3 determining the estimated speed V corresponding to the set Q and the set P by comparing with the comparison tableEstimation ofGathering;
step 3.2.1.4 determining the corresponding VEstimation of
Step 3.2.2, determining the estimated distance;
step 3.2.2.1 confirm S by mobile deviceEstimation ofDetermining an initial ward of the patient, and setting the initial ward as a starting point;
step 3.2.2.2, determining a target department detected by the patient, and setting the target department as an end point;
step 3.2.2.3 determining the distance between the starting position and the target department according to the geographical distribution of the hospital, and determining the estimated distance SEstimation of
Step 3.2.3 determining the estimated time TWalking device,TWalking device=SEstimation of/VEstimation of
Step 3.3 if the first patient is a patient who has been visited, TNeed to=TThe existing patients need;TThe existing patients need=THas already walked+THas been treated
TNeed toTime of visit required for the patient, TThe existing patients needEstimate time, T, for the patient's visitHas already walkedEstimating time T for the walk of the existing patient from ward to target departmentHas been treatedThe estimated time for the patient to see a doctor;
step 3.3.1 determines the location of the existing patient's department as the starting point,
determining 0-2 m of a first route interval, and acquiring corresponding time T of the interval through a bracelet0And T2Speed of first course section
Figure BDA0003423518830000061
Determining a second route interval of 2-4 m, and determining corresponding time T of the interval through the bracelet2And T4Second speed between passes
Figure BDA0003423518830000071
Determining a third route interval of 4-6 m, and determining time T corresponding to the interval point through the bracelet4And T6Second speed between passes
Figure BDA0003423518830000072
Figure BDA0003423518830000073
Step 3.3.2, determining a target department detected by the patient, and setting the target department as an end point;
step 3.3.3, determining the distance between the initial position and the target department according to the geographical distribution of the hospital;
step 3.3.4 determining the distance between the starting position and the target department according to the geographical distribution of the hospital, and determining the estimated distance SEstimation of
Step 3.3.5 determining the walk time T of an existing patientHas already walked,THas already walked=SEstimation of/VAverage
Step 3.4 determining whether the second patient is an existing patient or a first-visit patient, determining the required ambulation time T for the patientLine of
Step 3.5 if the second patient is an established patient, TLine of=THas already walked
Step 3.6 if the second patient is the first-visit patient, TLine of=TWalking device
Step 3.7 determines that the advance reminding time G ═ TThe last patient needs-TThe patient moves
Example three, described in conjunction with fig. 1-5:
the sets Q and P are respectively:
set Q is male patients (under ten years old, ten-twenty years old, twenty-thirty years old, thirty-forty years old, forty-fifty years old, fifty-sixty years old, over sixty years old);
set P is female patients (under ten years old, ten-twenty years old, twenty-thirty years old, thirty-forty years old, forty-fifty years old, fifty-sixty years old, over sixty years old).
Example four, described in conjunction with fig. 1-5:
Figure BDA0003423518830000074
if the patient is a male of 32 years old and the distance from the ward to the department is 600m, the estimated speed is 100m/min and the estimated arrival time of the patient is 6 min;
Figure BDA0003423518830000081
if the patient is a 24-year-old female, and the ward-department distance is 600m, the estimated speed is 120m/min, and the estimated arrival time of the patient is 5 min;
the walking speed and the estimated required time of the patient can be estimated according to the table, the patient can be reminded to leave a department according to the estimated required time, and the long time that the patient needs to wait outside the department is effectively avoided.
Example five: the description is made with reference to fig. 1 to 5:
V1(m/min) V2(m/min) V3(m/min) Vaverage(m/min) Number of times
45 47 46 46 1
50 52 57 53 2
48 43 41 44 3
The average speed of the patient for the first time is (45m/min +47m/min +46 m/min)/3-46 m/min;
the average speed of the patient for the first time is (50m/min +52m/min +57 m/min)/3-53 m/min;
the average speed of the patient for the first time is (48m/min +43m/min +41 m/min)/3-44 m/min;
according to the table, the walking speed of the patient can be accurately calculated through a method of calculating the average value in a segmented mode, accurate reminding time can be calculated according to the walking speed of the patient, and the time accuracy of reminding the patient is improved.
Example six: the description is made with reference to fig. 1 to 5:
Thas already walked(min) THas been treated(min) TThe existing patients need(min)
5 10 25
7 10 30
When the time required for a patient to arrive at a department from a ward is 5min and the time for the last patient to visit is 10min, the patient is reminded for 15min plus 10min, so that the patient needs to be reminded in advance for 15 min;
when the time required for a patient to arrive at a department from a ward is 7min and the time for the last patient to visit is 10min, the patient is reminded for 17min plus 7min, so that the patient needs to be reminded 17min in advance;
through this form can calculate the accurate time of reminding the patient through the walking time that the patient needs and the time of seeing a doctor of last patient, avoided reminding the patient too early or too late, cause the doctor to wait for the patient in the department or the longer phenomenon of patient latency outside the department, be under the ideal condition: at the end of the last patient visit, the next patient just arrives at the department doorway.
In conclusion, the intelligent hospital convenient for the patient to see the doctor service method is suitable for the intelligent ward, and can intelligently sort the patients and reduce the actual queuing time.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and any minor modifications, equivalent replacements and improvements made to the above embodiment according to the technical spirit of the present invention should be included in the protection scope of the technical solution of the present invention.

Claims (10)

1. An intelligent hospital convenient for people to see a doctor service system comprises: a server, characterized by: further comprising: ID card collection module, high in the clouds and mobile device are provided with communication module, processing module and storage module in the server, ID card collection module and communication module single line communication, communication module and processing module intercommunication, processing module and storage module intercommunication each other, communication module and high in the clouds intercommunication, high in the clouds and mobile device intercommunication each other.
2. The intelligent hospital convenient for the patient to see the doctor service system as claimed in claim 1, wherein: the identity card acquisition module is an identity card information acquisition device.
3. The intelligent hospital convenient for the patient to see the doctor service system as claimed in claim 1, wherein: the processing module comprises a comparison module and a calculation module.
4. A convenient for people service method of seeing a doctor of wisdom hospital, its characterized in that:
step 1, determining a clinic sequence 1-n according to a registration sequence;
step 2, determining a reminding sequence H as { H ] according to the treatment sequence1,H2,...Hn};
And 3, determining the early reminding time G, and carrying out treatment according to the reminding sequence H.
5. The intelligent hospital convenient for the doctor to see according to claim 4, characterized in that: the method for the treatment sequence comprises the following steps:
step 1.1 determination of existing patients according to registration timeHas a registration order of { A }1,A2,A3...AMM is the number of existing patients;
step 1.2 determining the order of registration B of the first patient as { B1,B2,B3...BNN is the number of first patients;
step 1.3, after the registration sequence of the patient to be treated for the first time is inserted into the registration sequence of the existing patient, generating a treatment sequence {1,2, 3.., M +1, M + 2.. M + N }; n is M + N.
6. The intelligent hospital convenient for the doctor to see according to claim 4, characterized in that: the method for determining the early reminding time G comprises the following steps:
step 3.1 to determine whether the patient at the first visit is an existing patient or a first-visit patient, determine the time T required for the visitNeed to
Step 3.2 if the first patient is a first visit patient, TNeed to=TEstimated need;TEstimated need=TWalking device+TTreatment method
TNeed toTime of visit required for the patient, TEstimated needEstimated time of visit, T, required for the patient at the first visitWalking deviceEstimate time, T, for the first visit of the patient's walk from ward to target departmentTreatment methodEstimating time for the first visit of the patient;
step 3.3 if the first patient is a patient who has been visited, TNeed to=TThe existing patients need;TThe existing patients need=THas already walked+THas been treated
TNeed toTime of visit required for the patient, TThe existing patients needEstimate time, T, for the patient's visitHas already walkedEstimating time T for the walk of the existing patient from ward to target departmentHas been treatedThe estimated time for the patient to see a doctor;
step 3.4 determining whether the second patient is an existing patient or a first-visit patient, determining the required ambulation time for the patientTLine of
Step 3.5 if the second patient is an established patient, TLine of=THas already walked
Step 3.6 if the second patient is the first-visit patient, TLine of=TWalking device
Step 3.7 determines that the advance reminding time G ═ TThe last patient needs-TThe patient moves
7. The intelligent hospital convenient for the doctor to see according to claim 6, characterized in that: walk estimated time TWalking deviceThe estimation method comprises the following steps:
step 3.2.1 determining the estimated velocity VEstimation of
Step 3.2.2 determining the estimated route SEstimation of
Step 3.2.3 determining the estimated time TWalking device,TWalking device=SEstimation of/VEstimation of
8. The intelligent hospital convenient for the doctor to see according to claim 7, wherein: determining a predicted velocity VEstimation ofThe method comprises the following steps:
step 3.2.1.1, classifying the patients who are firstly seen according to the sex to generate a male patient set Q and a female patient set P;
step 3.2.1.2, arranging the sets Q and P in the order of the ages from small to big;
step 3.2.1.3 determining the estimated speed V corresponding to the set Q and the set P by comparing with the comparison tableEstimation ofGathering;
step 3.2.1.4 determining the corresponding VEstimation of
9. The intelligent hospital convenient for the doctor to see according to claim 8, wherein: determining predicted distance SEstimation ofThe method comprises the following steps:
step 3.2.2.1, determining an initial ward of the patient through the mobile equipment, and setting the initial ward as a starting point;
step 3.2.2.2, determining a target department detected by the patient, and setting the target department as an end point;
step 3.2.2.3 determining the distance between the starting position and the target department according to the geographical distribution of the hospital, and determining the estimated distance SEstimation of
10. The intelligent hospital convenient for the doctor to see according to claim 8, wherein: patient T who has been hospitalizedHas already walkedThe determination method comprises the following steps:
step 3.3.1, determining the location of the department of the existing patient as a starting point;
determining 0-2 m of a first route interval, and acquiring corresponding time T of the interval through a bracelet0And T2Speed of first course section
Figure FDA0003423518820000031
Determining a second route interval of 2-4 m, and determining corresponding time T of the interval through the bracelet2And T4Second speed between passes
Figure FDA0003423518820000032
Determining a third route interval of 4-6 m, and determining time T corresponding to the interval point through the bracelet4And T6Second speed between passes
Figure FDA0003423518820000033
Figure FDA0003423518820000034
Step 3.3.2, determining a target department detected by the patient, and setting the target department as an end point;
step 3.3.3, determining the distance between the initial position and the target department according to the geographical distribution of the hospital;
step 3.3.4 determination according to the geographical distribution of the hospitalDetermining the distance between the starting position and the target department, and determining the estimated distance SEstimation of
Step 3.3.5 determining the walk time T of an existing patientHas already walked,THas already walked=SEstimation of/VAverage
CN202111570437.5A 2021-12-21 2021-12-21 Intelligent hospital convenience service system and method thereof Active CN114244871B (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8626523B1 (en) * 2005-04-12 2014-01-07 MedOne Systems, LLC Patient voice check-in system
US20140156302A1 (en) * 2004-08-09 2014-06-05 Epic Systems Corporation Patient check-in/scheduling kiosk
CN104850809A (en) * 2014-01-26 2015-08-19 武汉联影医疗科技有限公司 Triage number-calling system based on RF technology and method thereof
CN206097263U (en) * 2016-10-10 2017-04-12 中国人民解放军总医院第一附属医院 Novel make an appointment management system that calls out numbers that lines up
CN109658581A (en) * 2019-02-19 2019-04-19 中国人民解放军陆军军医大学第附属医院 Hospital intelligent attendance queuing system
CN110120261A (en) * 2019-04-19 2019-08-13 苏州智康信息科技股份有限公司 Medical treatment bootstrap technique, calculates equipment and storage medium at device
CN112669945A (en) * 2020-12-29 2021-04-16 四川乐恩乐达信息技术有限公司 Intelligent triage sequencing method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140156302A1 (en) * 2004-08-09 2014-06-05 Epic Systems Corporation Patient check-in/scheduling kiosk
US8626523B1 (en) * 2005-04-12 2014-01-07 MedOne Systems, LLC Patient voice check-in system
CN104850809A (en) * 2014-01-26 2015-08-19 武汉联影医疗科技有限公司 Triage number-calling system based on RF technology and method thereof
CN206097263U (en) * 2016-10-10 2017-04-12 中国人民解放军总医院第一附属医院 Novel make an appointment management system that calls out numbers that lines up
CN109658581A (en) * 2019-02-19 2019-04-19 中国人民解放军陆军军医大学第附属医院 Hospital intelligent attendance queuing system
CN110120261A (en) * 2019-04-19 2019-08-13 苏州智康信息科技股份有限公司 Medical treatment bootstrap technique, calculates equipment and storage medium at device
CN112669945A (en) * 2020-12-29 2021-04-16 四川乐恩乐达信息技术有限公司 Intelligent triage sequencing method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李婷婷;: "多媒体排队叫号***的设计与应用", 医学信息, no. 16 *

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