CN109036500A - A kind of Clinical Alert method, apparatus, equipment and storage medium - Google Patents
A kind of Clinical Alert method, apparatus, equipment and storage medium Download PDFInfo
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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Abstract
The embodiment of the invention discloses a kind of Clinical Alert method, apparatus, equipment and storage mediums.This method comprises: obtaining the electronic health record data of patient, and determine that data determine the corresponding target alert model of patient based on model included by electronic health record data；Early warning corresponding with early warning reference data included by electronic health record data, which is calculated, based on target alert model refers to score；With reference to score and determining target alert grade corresponding with patient and early warning is carried out based on target alert grade according to each early warning.By adopting the above technical scheme by solving the problems, such as in the prior art can not effectively be classified early warning, make it possible to predict the intervention degree of medical staff needed for patient in advance, and rational management is carried out to medical staff, the excessive domination to advanced medical staff is avoided, while also reducing and missing the risk of best intervention since medical staff neglects.
Description
Technical field
The present embodiments relate to field of medical technology more particularly to a kind of Clinical Alert method, apparatus, equipment and storage
Medium.
Background technique
Clinical Alert mechanism refers to that clinical monitoring equipment can issue pre- automatically when more critical situation occurs in patient
It is alert, remind medical staff to make corresponding intervening measure.
For Clinical Alert mechanism in the prior art when patient is abnormal, clinical monitoring equipment only can be according to preset rules
Selection issues or does not issue early warning, so that the intervention degree of medical staff needed for patient can not be predicted in advance, and to medical care
Personnel carry out rational management.Therefore, in low early warning, it be easy to cause the excessive domination to advanced medical staff；High pre-
In the case where police, there is the carelessness due to medical staff and miss the risk of best intervention.
Summary of the invention
The embodiment of the present invention provides a kind of Clinical Alert method, apparatus, equipment and storage medium, enables medical staff
Intervention degree needed for predicting patient in advance, and then realize the rational management of medical staff.
In a first aspect, the embodiment of the invention provides a kind of Clinical Alert methods, this method comprises:
Obtain the electronic health record data of patient, wherein the electronic health record data include that at least one model determines data
With at least one early warning reference data；
Determine that data determine target alert model corresponding with the patient based on the model, wherein the target
Early-warning Model includes the score computation rule that early warning corresponding with each early warning reference data refers to score；
Early warning corresponding with each early warning reference data is calculated with reference to score based on the target alert model；
According to each early warning with reference to score and value determine corresponding with patient target alert grade, and based on institute
It states target alert grade and carries out early warning.
Second aspect, the embodiment of the invention also provides a kind of Clinical Alert device, which includes:
Electronic health record data acquisition module, for obtaining the electronic health record data of patient, wherein the electronic health record data
Data and at least one early warning reference data are determined including at least one model；
Target alert model determining module, for determining that data determine mesh corresponding with the patient based on the model
Mark Early-warning Model, wherein the target alert model includes early warning corresponding with each early warning reference data with reference to score
Score computation rule；
Early warning refers to points calculating module, for being calculated and each early warning reference data based on the target alert model
Corresponding early warning refers to score；
Grade determines warning module, for according to each early warning with reference to score and value determine it is corresponding with the patient
Target alert grade, and early warning is carried out based on the target alert grade.
The third aspect, the embodiment of the invention also provides a kind of clinical monitoring equipment, including input unit and output device,
The equipment further include:
One or more processors；
Storage device, for storing one or more programs；
One or more of programs are executed by one or more of processors, so that one or more of processors
A kind of Clinical Alert method as provided by first aspect of realization.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes a kind of Clinical Alert method as provided by first aspect when the program is executed by processor.
The embodiment of the present invention passes through the electronic health record data for obtaining patient, and based on model included by electronic health record data
Determine that data determine the corresponding target alert model of patient；Based on included by the calculating of target alert model and electronic health record data
The corresponding early warning of early warning reference data refers to score；It is pre- with reference to score and determining target corresponding with patient according to each early warning
Alert grade simultaneously carries out early warning based on target alert grade.By adopting the above technical scheme by the way that solve in the prior art can not be to pre-
Alert the problem of being effectively classified, make it possible to predict the intervention degree of medical staff needed for patient in advance, and to medical staff
Rational management is carried out, the excessive domination to advanced medical staff is avoided, while being also reduced wrong since medical staff neglects
Cross the risk of best intervention.
Detailed description of the invention
Fig. 1 is the flow diagram of one of embodiment of the present invention one Clinical Alert method；
Fig. 2 is the flow diagram of one of embodiment of the present invention two Clinical Alert method；
Fig. 3 is the flow diagram of one of embodiment of the present invention three Clinical Alert method；
Fig. 4 is the flow diagram of one of embodiment of the present invention four Clinical Alert method；
Fig. 5 is the structural schematic diagram of one of embodiment of the present invention five Clinical Alert device；
Fig. 6 is a kind of hardware structural diagram for clinical monitoring equipment that the embodiment of the present invention six provides.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is the flow diagram of one of the embodiment of the present invention one Clinical Alert method, and the present embodiment is applicable to
The case where carrying out early warning to the condition of clinical patients, this method can be executed by Clinical Alert device, and the device is by soft
Part and/or hardware realization, and concrete configuration is in clinical monitoring equipment.
Clinical Alert method as shown in Figure 1, includes the following steps:
S110, the electronic health record data for obtaining patient, wherein the electronic health record data include that at least one model determines
Data and at least one early warning reference data.
Wherein, model determines data and early warning reference data is the important reference of the current state of an illness state of determining patient.Its
In, model determines data for determining the Early-warning Model that patient is applicable in；Wherein, early warning reference data is used to be used as Early-warning Model
Input data, to determine the current state of an illness state of patient, and export corresponding early warning with reference to score.
Illustratively, model determines that data can be patient's master data, such as can be gender and/or age etc..Show
Example property, early warning reference data can be patient's master data, alternatively, the illness description data in electronic health record, can also be
Patient checks result data corresponding to survey report etc..
S120, determine that data determine target alert model corresponding with the patient based on the model, wherein described
Target alert model includes the score computation rule that early warning corresponding with each early warning reference data refers to score.
Specifically, it can determine that data determine that calculating patient is pre- from the score computation rule pre-set based on model
It is alert with reference to score according to every score computation rule.Illustratively, can by the processor built in Clinical Alert equipment come
It realizes, or is realized by Forewarning Terminal.
Illustratively, it when model determines that data are age and/or gender, is determined based on age and/or gender corresponding
Target alert model, Clinical Alert equipment can calculate rule according to the corresponding score of early warning reference data each in target alert model
Then determine the early warning of each early warning reference data with reference to score.
S130, early warning corresponding with each early warning reference data is calculated with reference to score based on the target alert model.
Corresponding score computation rule in target alert model is searched according to each early warning reference data, and according to each score meter
It calculates rule and determines that the score value of corresponding early warning reference data refers to score as early warning.
S140, according to each early warning with reference to score and value determine corresponding with patient target alert grade, and
Early warning is carried out based on the target alert grade.
It sums to the corresponding early warning of each early warning reference data with reference to score, and is determined according to the size with value to patient
Target alert grade when early warning is carried out, clinical monitoring equipment distinguishes early warning by determining target alert grade.It needs
Illustrate, summation can be direct adduction, can also be according to the type of early warning early warning reference data with reference to corresponding to score
It is weighted summation.Wherein, the weighted value of all types of early warning reference datas can be determined based on experience value by medical staff.
It should be noted that each early warning is with reference to the bigger with value of score, corresponding target alert higher grade, corresponding to suffer from
The intervention degree of medical staff needed for person is higher, and the medical staff's rank for executing intervention means to patient is also higher.As medical care people
After member knows the target alert grade, the intervention degree of the current desired medical staff of patient can be determined according to target alert grade,
And intervention means are implemented to patient according to degree allotment medical staff is intervened.
Wherein it is possible to carry out early warning by way of sound, light and/or vibration.Illustratively, the frequency of sound can be passed through
Rate, tone and/or tone color；One or more of flicker frequency and/or color and the frequency of vibration of light are subject to early warning
It distinguishes.
The embodiment of the present invention passes through the electronic health record data for obtaining patient, and based on model included by electronic health record data
Determine that data determine the corresponding target alert model of patient；Based on included by the calculating of target alert model and electronic health record data
The corresponding early warning of early warning reference data refers to score；It is pre- with reference to score and determining target corresponding with patient according to each early warning
Alert grade simultaneously carries out early warning based on target alert grade.By adopting the above technical scheme by the way that solve in the prior art can not be to pre-
Alert the problem of being effectively classified, make it possible to predict the intervention degree of medical staff needed for patient in advance, and to medical staff
Rational management is carried out, the excessive domination to advanced medical staff is avoided, while being also reduced wrong since medical staff neglects
Cross the risk of best intervention.
Embodiment two
Fig. 2 is the flow diagram of one of embodiment of the present invention two Clinical Alert method.The embodiment of the present invention is upper
On the basis of the technical solution for stating each embodiment, subdivision optimization has been carried out.
Further, feature " is determined that data determine target alert mould corresponding with the patient based on the model
Type " is refined as that " model determines that data include patient basis；Based on the patient basis, the determining and trouble
Corresponding first Early-warning Model of person, as the target alert model " carries out Clinical Alert for non-patient diagnosed to improve
Early warning mechanism.
Clinical Alert method as shown in Figure 2, specifically includes:
S210, the electronic health record data for obtaining patient.
Wherein, the electronic health record data include that at least one model determines data and at least one early warning reference data；
Wherein, the model determines that data include patient basis.
S220, it is based on the patient basis, the first Early-warning Model corresponding with the patient is determined, as described
Target alert model.
Wherein, the target alert model includes the score that early warning corresponding with each early warning reference data refers to score
Computation rule.Wherein, patient basis may include following at least one: gender, age and department etc. in hospital.
It should be noted that due to making a definite diagnosis information in electronic health record and not comprising patient, patient can be passed through at this time
Essential information determines the first rough Early-warning Model as target alert model.
Specifically, early warning mould different corresponding to different patient basis can be stored in advance in model database
Type；By the patient basis in the electronic health record data of current patents, search basic with target patient in model database
Corresponding first Early-warning Model of information is as target alert model.
S230, early warning corresponding with each early warning reference data is calculated with reference to score based on the target alert model.
Wherein, the early warning reference data includes patient's master data, audit report and/or survey report.
Illustratively, early warning corresponding with each early warning reference data is calculated based on the target alert model to refer to
Dividing may include at least one of following methods:
Mode one: patient's master data is obtained, and is calculated and each patient's base based on the target alert model
The corresponding early warning of notebook data refers to score.
Specifically, each patient's master data included in early warning reference data is obtained, and according to each patient's master data
Corresponding score computation rule is searched in target alert model as basic score computation rule；Based on patient's master data
Corresponding each basic score computation rule determines that the basic score of each patient's master data refers to score as early warning.
Mode two: the corresponding inspection data of each inspection item in the audit report are obtained, and are based on the target alert
Model calculates early warning corresponding with each inspection data with reference to score.
Specifically, obtaining each audit report included in early warning reference data；Based on included in each audit report
Inspection item searches corresponding score computation rule as inspection score computation rule in target alert model；It obtains and checks report
Inspection data corresponding to each inspection item in announcement, and check that score computation rule determines that each inspection data are corresponding based on corresponding
Inspection score as early warning refer to score.
Illustratively, the inspection data corresponding to the inspection item are non-data form (such as can be image data)
When, the inspection result of textual form can be obtained by way of semantic analysis and feature extraction as inspection data.Example
Property, when the computed tomography in the electronic health record data for moving in the patient that division of respiratory disease is diagnosed as asthma including a lung
(Computed Tomography, CT) image, inspection and analysis and inspection knot in lung CT audit report comprising textual form
Fruit.Clinical Alert equipment can be obtained inspection result " bronchiostenosis " by way of semantic analysis and feature extraction, and
Based on the inspection result as inspection data.
Mode three: obtaining and respectively examine the corresponding inspection data of project in the survey report, and is based on the target alert
Model calculates early warning corresponding with each inspection data and refers to score.
Specifically, obtaining each survey report included in early warning reference data；Based on included in each survey report
Inspection project searches corresponding score computation rule as inspection score computation rule in target alert model；It obtains and examines report
Inspection data corresponding to project is respectively examined in announcement, and examines score computation rule to determine that each inspection data is corresponding based on corresponding
Inspection score as early warning refer to score.
S240, according to each early warning with reference to score and value determine corresponding with patient target alert grade, and
Early warning is carried out based on the target alert grade.
The embodiment of the present invention according to patient basis by determining the first Early-warning Model corresponding with patient as mesh
Early-warning Model is marked, to improve the early warning mechanism for carrying out Clinical Alert for non-patient diagnosed.
Embodiment three
Fig. 3 is the flow diagram of one of embodiment of the present invention three Clinical Alert method.The embodiment of the present invention is upper
On the basis of the technical solution for stating each embodiment, it is optimized.
Further, additional after feature " the electronic health record data for obtaining patient " " to obtain corresponding with the patient
Diagnostic data "；Correspondingly, feature " is determined that data determine target alert mould corresponding with the patient based on the model
Type " is refined as " based on the patient basis and the diagnostic data, determining the second early warning mould corresponding with the patient
Type, as the target alert model ", to improve the Clinical Alert mechanism of patient diagnosed.
Clinical Alert method as shown in Figure 3, comprising:
S310, the electronic health record data for obtaining patient.
Wherein, the electronic health record data include that at least one model determines data and at least one early warning reference data；
Wherein, model determines that data include patient's master data and diagnostic data.Wherein, diagnostic data is for characterizing examining for patient diagnosed
Disconnected result.
S320, diagnostic data corresponding with the patient is obtained.
S330, it is based on the patient basis and the diagnostic data, determines that corresponding with the patient second is pre-
Alert model, as the target alert model.
Wherein, the target alert model includes the score that early warning corresponding with each early warning reference data refers to score
Computation rule.
It should be noted that due to containing the diagnostic data of patient in electronic health record, it can believe substantially in patient
It is combined on the basis of breath and makes a definite diagnosis data and further determine that the second Early-warning Model being more bonded with patient diagnosed as target alert
Model.
Specifically, can be in advance for the different corresponding storage early warning moulds of model pre-warning storage mark in model database
Type.Wherein, model pre-warning storage identifies corresponding patient basis and diagnostic data.Pass through the electronic health record data of current patents
The patient basis that is included and diagnostic data are stored as target to be identified, and searches corresponding with target storage mark the
Two Early-warning Models are as target alert model.
S340, early warning corresponding with each early warning reference data is calculated with reference to score based on the target alert model.
Wherein, early warning reference data includes patient's master data, audit report and/or survey report.Wherein, early warning refers to
Data are structural data, therefore can be by directly acquiring each data information in early warning reference data.
Illustratively, early warning corresponding with each early warning reference data is calculated based on the target alert model to refer to
Dividing may include at least one of following methods:
Mode one: patient's master data is obtained, and is calculated and each patient's base based on the target alert model
The corresponding early warning of notebook data refers to score.
Mode two: the corresponding inspection data of each inspection item in the audit report are obtained, and are based on the target alert
Model calculates early warning corresponding with each inspection data with reference to score.
Mode three: obtaining and respectively examine the corresponding inspection data of project in the survey report, and is based on the target alert
Model calculates early warning corresponding with each inspection data and refers to score.
It should be noted that after medical staff takes certain intervening measure to patient diagnosed, it is preferable that base
The corresponding early warning of early warning reference data after each intervention is calculated with reference to score in target alert model.Wherein it is determined that early warning refers to
Data whether be intervene after early warning reference data method may is that contained at least two in electronic health record data it is identical pre-
Alert reference data, after determining that early warning reference data generates the nearest early warning reference data of time gap current time as intervening
Early warning reference data.
Illustratively, when in the electronic medical records data for moving in the patient that Cardiological is diagnosed as coronary heart disease include two vim and vigour
When audit report, the blood oxygen saturation in first vim and vigour audit report is 55%.Medical staff takes one-week medicine
After object intervention and physics oxygen uptake, the blood oxygen saturation in second vim and vigour survey report is 90%, at this point, being preferably based on
Target alert model calculates early warning corresponding when the blood oxygen saturation in second vim and vigour survey report is 90% and refers to score.
S350, according to each early warning with reference to score and value determine corresponding with patient target alert grade, and
Early warning is carried out based on the target alert grade.
The embodiment of the present invention is by determining the second early warning corresponding with patient according to patient basis and diagnostic data
Model is as target alert model, to improve the early warning mechanism for carrying out Clinical Alert for patient diagnosed.
Example IV
Fig. 4 is the flow diagram of one of embodiment of the present invention four Clinical Alert method.The embodiment of the present invention is upper
On the basis of the technical solution for stating each embodiment, it is optimized.
Further, " determine that data determine target alert mould corresponding with the patient based on the model in feature
After type ", additional feature " is received the clinical monitoring data of the patient, and is calculated and each prison based on the target alert model
The corresponding clinical monitoring score of measured data "；Correspondingly, by feature " according to each early warning with reference to score and value determine and institute
State the corresponding target alert grade of patient " it is refined as " according to each early warning with reference to score and each clinical monitoring score
Target alert grade corresponding with the patient is determined with value ", to improve the early warning for carrying out Clinical Alert to intensive care patient
Mechanism.
Further, feature " carrying out early warning based on the target alert grade " is refined as " according to target alert grade
Determine early warning response personnel, early warning prompting carried out to the early warning response personnel ", to realize the automatic governing to medical staff.
Further, feature " according to each early warning with reference to score and corresponding with the patient target of value determination
Warning grade, and early warning is carried out based on the target alert grade " after, it is additional " to show that each early warning is more than with reference to score
The early warning reference data of default score threshold ", so that medical staff can consider countermeasure in advance, saving takes patient dry
Time before pre- measure.
Clinical Alert method as shown in Figure 4, comprising:
S410, the electronic health record data for obtaining patient.
Wherein, the electronic health record data include that at least one model determines data and at least one early warning reference data.
S420, determine that data determine target alert model corresponding with the patient based on the model.
Wherein, the target alert model includes the score that early warning corresponding with each early warning reference data refers to score
Computation rule.
S430, the clinical monitoring data for receiving the patient, and calculated and each monitoring number based on the target alert model
According to corresponding clinical monitoring score.
When patient is intensive care patient, since the intensive care patient state of an illness is more serious, it is therefore desirable to be supervised to severe
It protects patient's real-time perfoming clinical monitoring and obtains corresponding clinical monitoring data, to realize that dynamic grasps the current of intensive care patient
The state of an illness.
Specifically, the clinical monitoring data of real-time reception intensive care patient, and according to each monitoring of clinical monitoring data
Project searches corresponding score computation rule as monitoring score computation rule in target alert model；Obtain each monitoring project
Corresponding clinical monitoring data, and the corresponding clinic of each clinical monitoring data is determined based on corresponding monitoring score computation rule
Monitor score.Illustratively, clinical monitoring data may include blood oxygen, electrocardio, heart rate, blood pressure and body temperature etc..
S440, early warning corresponding with each early warning reference data is calculated with reference to score based on the target alert model.
S450, according to each early warning with reference to score and each clinical monitoring score and value it is determining with the patient couple
The target alert grade answered.
It is directly summed it up according to each early warning with reference to score and each clinical monitoring score and determines and be worth；Alternatively, being referred to according to early warning
Score and clinical monitoring score weighted sum determination and value；And target when carrying out early warning to patient is determined according to the size with value
Warning grade.
Illustratively, summation can be weighted to each clinical monitoring score according to the first weighted value, determines clinical monitoring
Total score；Summation is weighted with reference to score to each early warning according to the second weighted value, determines early warning with reference to total score；Pass through clinic
Monitoring total score and early warning refer to total score and directly sum it up resulting and value, determine that target when current patents are carried out with early warning is pre-
Alert grade.Wherein, the first weighted value is greater than the second weighted value；Wherein the first weighted value and the second weighted value and be 1.It is preferred that
Ground, the first weighted value are 60%, and the second weighted value is 40%.
S460, early warning response personnel is determined according to target alert grade, early warning prompting is carried out to the early warning response personnel.
Specifically, right according to preset medical staff's responsibility table lookup current patents institute under the target alert grade
The early warning response personnel answered, and early warning prompting is carried out to early warning response personnel.It should be noted that target alert higher grade,
Identified early warning response personnel rank is higher.Wherein, the early warning that early warning response personnel carries out is reminded and includes at least patient's mark
Know information, takes the object of intervening measure so that medical staff can clearly require.Illustratively, patient identification information can be
The bed label information of patient.
S470, each early warning of display are more than to preset the early warning reference number of score threshold with reference to score.
By showing the early warning reference data more than early warning score after early warning, intervention means are taken as medical staff
Important evidence, so that medical staff considers countermeasure in advance, for patient relief saved the time.
The embodiment of the present invention passes through additional clinical monitoring score and calculates step to improve to intensive care patient progress clinic
The early warning mechanism of early warning；By refinement warning step to realize the automatic governing to medical staff；Pass through additional early warning reference number
According to display step, so that medical staff can consider countermeasure in advance, when saving the preparation before taking patient intervening measure
Between.
Embodiment five
Fig. 5 is the structural schematic diagram of one of embodiment of the present invention five Clinical Alert device, and the present embodiment is applicable to
The case where carrying out early warning to the condition of clinical patients, the device is by software and or hardware realization, and concrete configuration is in clinic
In custodial care facility.The Clinical Alert device includes: electronic health record data acquisition module 510, target alert model determining module
520, early warning determines warning module 540 with reference to points calculating module 530 and grade.
Wherein, electronic health record data acquisition module 510, for obtaining the electronic health record data of patient, wherein the electronics
Medical record data includes that at least one model determines data and at least one early warning reference data；
Target alert model determining module 520, for determining that data determination is corresponding with the patient based on the model
Target alert model, wherein the target alert model include early warning corresponding with each early warning reference data with reference to
The score computation rule divided；
Early warning refers to points calculating module 530, refers to for being calculated based on the target alert model with each early warning
The corresponding early warning of data refers to score；
Grade determines warning module 540, for according to each early warning with reference to score and value is determining and the patient couple
The target alert grade answered, and early warning is carried out based on the target alert grade.
The embodiment of the present invention obtains the electronic health record data of patient by electronic health record data acquisition module；It is pre- by target
Alert model determining module determines that data determine the corresponding target alert model of patient based on model included by electronic health record data；
It is calculated and early warning reference number included by electronic health record data with reference to points calculating module based on target alert model by early warning
Score is referred to according to corresponding early warning；Determine warning module according to each early warning with reference to score and determining and patient couple by grade
The target alert grade answered simultaneously carries out early warning based on target alert grade.By adopting the above technical scheme by solving the prior art
In the problem of early warning can not being effectively classified, make it possible to predict the intervention degree of medical staff needed for patient in advance, and
Rational management is carried out to medical staff, avoids the excessive domination to advanced medical staff, while also reducing due to medical care people
Member neglects and misses the risk of best intervention.
Further, the model determines that data include patient basis；
Correspondingly, the target alert model determining module 520, comprising:
First Early-warning Model determination unit, for being based on the patient basis, determination is corresponding with the patient
First Early-warning Model, as the target alert model.
Further, described device, further includes:
Diagnostic data obtains module, for obtaining and the patient after the electronic health record data for obtaining patient
Corresponding diagnostic data；
Correspondingly, the target alert model determining module 520, further includes:
Second Early-warning Model determination unit, for being based on the patient basis and the diagnostic data, determining and institute
Corresponding second Early-warning Model of patient is stated, as the target alert model.
Further, described device, further includes:
Clinical monitoring points calculating module, for determining that data determination is opposite with the patient based on the model described
After the target alert model answered, receive the clinical monitoring data of the patient, and based on the target alert model calculate with
The corresponding clinical monitoring score of each monitoring data；
Correspondingly, the grade determines warning module 540, comprising:
Target alert level de-termination unit, for according to each early warning with reference to score and each clinical monitoring score
Target alert grade corresponding with the patient is determined with value.
Further, the early warning reference data includes patient's master data, audit report and/or survey report；
Correspondingly, the early warning refers to points calculating module 530, comprising:
Master data obtains sub-unit, calculates for obtaining patient's master data, and based on the target alert model
Early warning corresponding with each patient's master data refers to score；And/or
Check that data obtain sub-unit, for obtaining the corresponding inspection data of each inspection item in the audit report, and base
Early warning corresponding with each inspection data is calculated with reference to score in the target alert model；And/or
Inspection data obtains sub-unit, the corresponding inspection data of project is respectively examined in the survey report for obtaining, and base
Early warning corresponding with each inspection data, which is calculated, in the target alert model refers to score.
Further, the grade determines warning module 540, comprising:
Early warning reminding unit, for determining early warning response personnel according to target alert grade, to the early warning response personnel
Carry out early warning prompting.
Further, described device, further includes:
Early warning reference data display module, for showing after the progress early warning based on the target alert grade
Each early warning is more than to preset the early warning reference data of score threshold with reference to score.
Clinical Alert method provided by any embodiment of the invention can be performed in above-mentioned Clinical Alert device, has execution and faces
The corresponding functional module of bed method for early warning and beneficial effect.
Embodiment six
Fig. 6 is a kind of hardware structural diagram for clinical monitoring equipment that the embodiment of the present invention six provides, which includes
Input unit 610, output device 620, processor 630 and storage device 640.
Wherein, input unit 610, for obtaining the electronic health record data of patient；
Output device 620, for carrying out early warning based on target alert grade；
One or more processors 630；
Storage device 640, for storing one or more programs.
In Fig. 6 by taking a processor 630 as an example, input unit 610 in the clinical monitoring equipment can by bus or
Other modes are connected with output device 620, processor 630 and storage device 640, and processor 630 and storage device 640
It is connected by bus or other modes, in Fig. 6 for being connected by bus.
In the present embodiment, the processor 630 in clinical monitoring equipment can obtain the electricity of patient according to input unit 610
Sub- medical record data；The model being also based in electronic health record data determines that data determine target alert mould corresponding with patient
Type；It is also based on target alert model and calculates early warning ginseng corresponding with each early warning reference data that electronic health record data are included
Examine score；It can also be according to each early warning with reference to the target alert grade corresponding with determining patient is worth of score；It is also based on mesh
It marks warning grade control output device 620 and carries out early warning.
Storage device 640 in the clinical monitoring equipment is used as a kind of computer readable storage medium, can be used for storing one
A or multiple programs, described program can be software program, computer executable program and module, in the embodiment of the present invention
Corresponding program instruction/the module of Clinical Alert method is (for example, attached electronic health record data acquisition module 510 shown in fig. 5, target
Early-warning Model determining module 520, early warning determine warning module 540 with reference to points calculating module 530 and grade).Processor 630
By running the software program, instruction and the module that are stored in storage device 640, thereby executing the various of clinical monitoring equipment
Functional application and data processing, i.e. Clinical Alert method in realization above method embodiment.
Storage device 640 may include storing program area and storage data area, wherein storing program area can store operation system
Application program needed for system, at least one function；It storage data area can the (electronic health record in such as above-described embodiment such as storing data
Data, target alert model and early warning are with reference to score etc.).In addition, storage device 640 may include high random access storage
Device, can also include nonvolatile memory, a for example, at least disk memory, flush memory device or other are non-volatile
Solid-state memory.In some instances, storage device 640 can further comprise depositing relative to processor 630 is remotely located
Reservoir, these remote memories can pass through network connection to server.The example of above-mentioned network include but is not limited to internet,
Intranet, local area network, mobile radio communication and combinations thereof.
In addition, the embodiment of the present invention also provides a kind of computer readable storage medium, it is stored thereon with computer program, it should
Realize that the present invention implements the Clinical Alert method provided when program is executed by Clinical Alert device, this method comprises: obtaining patient
Electronic health record data, wherein the electronic health record data include at least one of model determine data and at least one of early warning ginseng
Examine data；Determine that data determine target alert model corresponding with the patient based on the model, wherein the target is pre-
Alert model includes the score computation rule that early warning corresponding with each early warning reference data refers to score；It is pre- based on the target
Alert model calculates early warning corresponding with each early warning reference data with reference to score；According to each early warning with reference to score and value
It determines target alert grade corresponding with the patient, and early warning is carried out based on the target alert grade.
By the description above with respect to embodiment, it is apparent to those skilled in the art that, the present invention
It can be realized by software and required common hardware, naturally it is also possible to which by hardware realization, but in many cases, the former is more
Good embodiment.Based on this understanding, technical solution of the present invention substantially in other words contributes to the prior art
Part can be embodied in the form of software products, which can store in computer readable storage medium
In, floppy disk, read-only memory (Read-Only Memory, ROM), random access memory (Random such as computer
Access Memory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are with so that a computer is set
Standby (can be personal computer, server or the network equipment etc.) executes method described in each embodiment of the present invention.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of Clinical Alert method characterized by comprising
Obtain the electronic health record data of patient, wherein the electronic health record data at least one of include that model determines data and extremely
One item missing early warning reference data；
Determine that data determine target alert model corresponding with the patient based on the model, wherein the target alert
Model includes the score computation rule that early warning corresponding with each early warning reference data refers to score；
Early warning corresponding with each early warning reference data is calculated with reference to score based on the target alert model；
According to each early warning with reference to score and value determine corresponding with patient target alert grade, and based on the mesh
It marks warning grade and carries out early warning.
2. the method according to claim 1, wherein the model determines that data include patient basis；
It is correspondingly, described to determine that data determine target alert model corresponding with the patient based on the model, comprising:
Based on the patient basis, the first Early-warning Model corresponding with the patient is determined, as the target alert
Model.
3. according to the method described in claim 2, it is characterized in that, being gone back after the electronic health record data for obtaining patient
Include:
Obtain diagnostic data corresponding with the patient；
Correspondingly, determine that data determine target alert model corresponding with the patient based on the model, comprising:
Based on the patient basis and the diagnostic data, the second Early-warning Model corresponding with the patient is determined, make
For the target alert model.
4. the method according to claim 1, wherein described determine data determination and the trouble based on the model
After the corresponding target alert model of person, further includes:
The clinical monitoring data of the patient are received, and face corresponding with each monitoring data is calculated based on the target alert model
Bed monitoring score；
Correspondingly, it is described according to each early warning with reference to score and corresponding with the patient target alert grade of value determination,
Include:
According to each early warning with reference to score and each clinical monitoring score and value determination target corresponding with the patient
Warning grade.
5. method according to claim 1-4, which is characterized in that the early warning reference data includes that patient is basic
Data, audit report and/or survey report；
Correspondingly, described early warning corresponding with each early warning reference data is calculated based on the target alert model to refer to
Point, comprising:
Patient's master data is obtained, and corresponding with each patient's master data based on target alert model calculating
Early warning refers to score；And/or
Obtain the corresponding inspection data of each inspection item in the audit report, and based on the target alert model calculate with it is each
The corresponding early warning of the inspection data refers to score；And/or
It obtains and respectively examines the corresponding inspection data of project in the survey report, and based on target alert model calculating and respectively
The corresponding early warning of inspection data refers to score.
6. the method according to claim 1, wherein described carry out early warning packet based on the target alert grade
It includes:
Early warning response personnel is determined according to target alert grade, and early warning prompting is carried out to the early warning response personnel.
7. the method according to claim 1, wherein it is described based on the target alert grade carry out early warning it
Afterwards, further includes:
Show early warning reference data of each early warning with reference to score more than default score threshold.
8. a kind of Clinical Alert device characterized by comprising
Electronic health record data acquisition module, for obtaining the electronic health record data of patient, wherein the electronic health record data include
At least one model determines data and at least one early warning reference data；
Target alert model determining module, for determining that data determine that target corresponding with the patient is pre- based on the model
Alert model, wherein the target alert model includes the score that early warning corresponding with each early warning reference data refers to score
Computation rule；
Early warning refers to points calculating module, corresponding with each early warning reference data for being calculated based on the target alert model
Early warning refer to score；
Grade determines warning module, for according to each early warning with reference to score and corresponding with the patient target of value determination
Warning grade, and early warning is carried out based on the target alert grade.
9. a kind of clinical monitoring equipment, which is characterized in that including input unit and output device, further includes:
One or more processors；
Storage device, for storing one or more programs；
One or more of programs are executed by one or more of processors, so that one or more of processors are realized
Such as a kind of Clinical Alert method of any of claims 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
A kind of such as Clinical Alert method of any of claims 1-7 is realized when execution.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111145856A (en) * | 2019-12-31 | 2020-05-12 | 中国人民解放军陆军军医大学第一附属医院 | Medical information remote sharing equipment |
| CN111243720A (en) * | 2020-01-20 | 2020-06-05 | 重庆亚德科技股份有限公司 | Clinical path management system with medical staff quantity adjustment reminding function |
| CN112316262A (en) * | 2020-11-03 | 2021-02-05 | 无锡市第五人民医院 | Oxygen inhalation treatment system and method for digestive system disease patients |
| CN112992325A (en) * | 2021-04-22 | 2021-06-18 | 上海电气集团股份有限公司 | Detection data processing method, system and device for monitored object |
| US11238994B2 (en) * | 2018-10-08 | 2022-02-01 | Cerner Innovation, Inc. | Intelligent touch care corresponding to a scheduled clinician visit |
| US11398313B2 (en) * | 2018-10-08 | 2022-07-26 | Cerner Innovation, Inc. | Intelligent touch care corresponding to a patient reporting a change in condition |
| CN116664925A (en) * | 2023-05-17 | 2023-08-29 | 武汉大学中南医院 | Method, device, equipment and storage medium for identifying target in intensive care unit |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107220518A (en) * | 2017-06-28 | 2017-09-29 | 湖南暄程科技有限公司 | A kind of medical pre-alert notification method and system |
| CN107358047A (en) * | 2017-07-13 | 2017-11-17 | 刘峰 | Diabetic assesses and management system |
-
2018
- 2018-07-19 CN CN201810797578.2A patent/CN109036500A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107220518A (en) * | 2017-06-28 | 2017-09-29 | 湖南暄程科技有限公司 | A kind of medical pre-alert notification method and system |
| CN107358047A (en) * | 2017-07-13 | 2017-11-17 | 刘峰 | Diabetic assesses and management system |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11398313B2 (en) * | 2018-10-08 | 2022-07-26 | Cerner Innovation, Inc. | Intelligent touch care corresponding to a patient reporting a change in condition |
| US11238994B2 (en) * | 2018-10-08 | 2022-02-01 | Cerner Innovation, Inc. | Intelligent touch care corresponding to a scheduled clinician visit |
| US11238995B2 (en) * | 2018-10-08 | 2022-02-01 | Cerner Innovation, Inc. | Intelligent touch care corresponding to a patient question |
| US11238993B2 (en) * | 2018-10-08 | 2022-02-01 | Cerner Innovation, Inc. | Intelligent touch care corresponding to an unscheduled clinician visit |
| US11250959B2 (en) * | 2018-10-08 | 2022-02-15 | Cerner Innovation, Inc. | Dynamically updating a community early warning score |
| US11328827B2 (en) * | 2018-10-08 | 2022-05-10 | Cerner Innovation, Inc. | Intelligent touch care corresponding to a clinician documented change in condition or order |
| CN111145856A (en) * | 2019-12-31 | 2020-05-12 | 中国人民解放军陆军军医大学第一附属医院 | Medical information remote sharing equipment |
| CN111243720A (en) * | 2020-01-20 | 2020-06-05 | 重庆亚德科技股份有限公司 | Clinical path management system with medical staff quantity adjustment reminding function |
| CN112316262A (en) * | 2020-11-03 | 2021-02-05 | 无锡市第五人民医院 | Oxygen inhalation treatment system and method for digestive system disease patients |
| CN112992325A (en) * | 2021-04-22 | 2021-06-18 | 上海电气集团股份有限公司 | Detection data processing method, system and device for monitored object |
| CN112992325B (en) * | 2021-04-22 | 2024-04-12 | 上海电气集团股份有限公司 | Detection data processing method, system and device for monitored object |
| CN116664925A (en) * | 2023-05-17 | 2023-08-29 | 武汉大学中南医院 | Method, device, equipment and storage medium for identifying target in intensive care unit |
| CN116664925B (en) * | 2023-05-17 | 2023-12-26 | 武汉大学中南医院 | Method, device, equipment and storage medium for identifying target in intensive care unit |
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