CN109524069A - Medical data processing method, device, electronic equipment and storage medium - Google Patents
Medical data processing method, device, electronic 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
This disclosure relates to medical big data processing technology field, and in particular to a kind of medical data processing method, device.This method comprises: from diagnosis records are read in hospital in electronic medical record system；Patient information and medical act data are extracted from diagnosis records and hospital is measured main information；For each disease, the first kind statistical index data that hospital is measured main body is obtained；The first kind statistical index data of main body is measured by statisticalling analyze the classification standard threshold value determined for amplifying index classification based on multiple hospitals；Amplification achievement data is determined according to classification standard threshold value to determine that hospital is measured the medical efficiency of main body.Actual key message is extracted by the diagnosis records in hospital information system, and classification standard is determined by way of statistical analysis, the amplification achievement data of main body is measured to obtain hospital to determine that hospital is measured the medical efficiency of main body, with objectivity, comprehensive and accuracy, and reduce research and development and use cost.
Description
Technical field
This disclosure relates to medical big data processing technology field, and in particular to a kind of medical data processing method, device, electricity
Sub- equipment and storage medium.
Background technique
With the promotion of social synthesis's development level, the people more payes attention to health, for the need of medical resource
Ask growing day by day.Meanwhile in China there is the objective reality that high quality medical resource is unevenly distributed, on this basis it is a variety of because
Element superposition, results in and is chronically at overload operation state by the high-quality medical institutions of representative of Grade A hospital.In order to alleviate this
One problem, from government aspect, country proposes the reform analysis of " classification diagnosis and treatment ".In this course, objective and accurate measurement
Each hospital, department, medical treatment certain disease efficiency, key effect is played for the allotment of medical resource.
On the one hand, traditional evaluation method is mostly to need manually to participate and draw all kinds of performance assessment criteria, but face modern medicine
Magnanimity classification of diseases, need a large amount of clinical treatments and hospital management expert to put into a large amount of time resource, higher cost.Example
Such as, Beijing DRGs (immediate load) covers 600 kinds of DRGs and still has a disadvantage in that Medical Technologist and hospital management
The human resources investment of expert is excessive, meanwhile, DRGs needs total involvement in hospital's landing implementation process, needs a line medical care
Personnel put into part energy learning and mastering.
On the other hand, from patient's angle, current some internet medical platforms provide similar hospital guide or recommendation service,
By taking certain website as an example, the page has indicated " YYYY favorable comment doctors out are recommended in XXXX patient's comments ", this illustrates its measurement doctor
The mode of curative effect rate is the feedback based on patient, but it recommends to come from patient's recommendation according to clinical data support is lacked more,
Such quality of data is difficult to support serious medical demand.
Therefore, how objective, accurate, measure medical efficiency data at low cost and to improve treatment effeciency be medical big data
The process field technical issues that need to address, and be also the practical objective demand in society and market.
It should be noted that information is only used for reinforcing the reason to the background of the disclosure disclosed in above-mentioned background technology part
Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The disclosure is designed to provide a kind of medical data processing method, device, storage medium and electronic equipment, energy
It is enough to improve the accuracy and efficiency for determining medical bodies medical efficiency.
Other characteristics and advantages of the disclosure will be apparent from by the following detailed description, or partially by the disclosure
Practice and acquistion.
According to the disclosure in a first aspect, providing a kind of medical data processing method, comprising: the electronic health record system out of hospital
Diagnosis records are read in system；Patient information and medical act data, and acquisition and medical act are extracted from the diagnosis records
Associated hospital is measured main information；For each disease diagnosed in diagnosis records, obtains hospital and be measured main body
For the first kind statistical index data of the disease；The first kind for the disease for being measured main body based on multiple hospitals is united
Achievement data is counted, by statisticalling analyze the classification standard threshold value determined for amplifying index classification；It is true according to classification standard threshold value
Surely achievement data is amplified to determine that hospital is measured the medical efficiency data of main body.
In one embodiment, patient information includes patient base's physiologic information, medical history, diagnosis and treatment record, and/or master
It tells；
And/or
The medical act data include inspection, inspection, diagnosis, operation, medication, are hospitalized, and/or leave hospital；
And/or
It includes hospital, department, doctor that the hospital, which is measured main body,；
And/or
The first kind statistical index data include see and treat patients case quantity, inpatient's quantity, hospital stays distribution of lengths,
Expenditure distribution of inpatient or discharge type distribution.
In one embodiment, before reading diagnosis records in HIS further include: read from each information system of hospital
Enter medical data, and the primary medical middle all medical data generated are stored in a diagnosis records.
In one embodiment, this method further include: press the medical data read in from each information system of hospital
Structuring output is carried out according to pre-defined rule.
In one embodiment, patient information is the patient information after desensitization.
In one embodiment, referring to for the first kind statistics of the disease for main body is measured based on multiple hospitals
Mark data determine that the classification standard threshold value for amplifying index classification includes: tested based on multiple hospitals by statistical analysis
The first kind statistical index data for the disease for measuring main body, determines the threshold for amplifying index classification by clustering method
Value, as classification standard.
According to another aspect of the present invention, a kind of medical data processing unit is provided, comprising: diagnosis records read module,
For from diagnosis records are read in hospital in electronic medical record system；Critical data extraction module, for from the diagnosis records
Patient information and medical act data are extracted, and obtains and is measured main information with the associated hospital of medical act；Direct indicator
Obtain module, for for each disease diagnosed in diagnosis records, obtain the hospital be measured main body for described
The first kind statistical index data of disease；Classification standard determining module, for being measured pair of main body based on multiple hospitals
In the first kind statistical index data of the disease, by statisticalling analyze the classification standard threshold determined for amplifying index classification
Value；Index selection module is amplified, determines the hospital for determining amplification achievement data according to the classification standard threshold value
It is measured the medical efficiency of main body.
In one embodiment, the device further include: diagnosis records generation module, for each information system from hospital
It is middle to read in medical data, and the primary medical middle all emergency treatment data generated are stored in a diagnosis records.
According to another aspect of the invention, a kind of computer readable storage medium is provided, computer program is stored thereon with,
The above-mentioned medical data processing method stated is realized when computer program is executed by processor.
According to another aspect of the invention, a kind of electronic equipment is provided, comprising:
Processor；And
Memory, for storing the executable instruction of the processor；
Wherein, the processor, which is configured to execute via the executable instruction is executed, above-mentioned states medical data processing side
Method.
Medical data treating method and apparatus provided by a kind of embodiment of the disclosure, by hospital information system
Diagnosis records extract actual key message, and classification standard is determined by way of statistical analysis, so that it is tested to obtain hospital
The amplification index for measuring main body has objectivity and accuracy, and improve for determining that hospital is measured the medical efficiency of main body
Efficiency.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and together with specification for explaining the principles of this disclosure.It should be evident that the accompanying drawings in the following description is only the disclosure
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 shows the flow chart of medical data processing method one embodiment according to the present invention；
Fig. 2 shows the flow charts of another embodiment of medical data processing method according to the present invention；
Fig. 3 shows the flow chart of another embodiment of medical data processing method according to the present invention；
Fig. 4 shows the structure chart of one embodiment of medical data processing unit according to the present invention；
Fig. 5 shows the structure chart of another embodiment of medical data processing unit according to the present invention；
Fig. 6 shows the schematic diagram of the electronic equipment for medical data processing method of the present invention；With
Fig. 7 shows the storage medium schematic diagram for being stored with the program for executing medical data processing method of the present invention.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes
Formula is implemented, and is not understood as limited to example set forth herein；On the contrary, thesing embodiments are provided so that the disclosure will more
Fully and completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.Described feature, knot
Structure or characteristic can be incorporated in any suitable manner in one or more embodiments.
In addition, attached drawing is only the schematic illustrations of the disclosure, it is not necessarily drawn to scale.Identical attached drawing mark in figure
Note indicates same or similar part, thus will omit repetition thereof.Some block diagrams shown in the drawings are function
Energy entity, not necessarily must be corresponding with physically or logically independent entity.These function can be realized using software form
Energy entity, or these functional entitys are realized in one or more hardware modules or integrated circuit, or at heterogeneous networks and/or place
These functional entitys are realized in reason device device and/or microcontroller device.
In recent years, medical information achieves significant progress, and most hospitals have all gradually set up comprising HIS (doctor
Institute's information system), PACS (image archiving and communication system), in the institute of multiple systems such as LIS (laboratory inspection information system)
Information system.Herein, the data after information system polymerization in these institutes are referred to as " electronic health record ".Current many hospitals are
It has been set up automatically collecting, the arrangement, storage system of electronic health record, and has had accumulated magnanimity clinic diagnosis data.Electronics disease
Count one by one according to directly acquisition from clinic diagnosis behavior, and collection process with clinic diagnosis Process fusion, to medical staff's not structure
At added burden.It will be provided with medical resource using these DATA REASONING medical efficiencies and put into the advantages that small, data are authoritative credible.Doctor
The accumulation of the progress and magnanimity clinic diagnosis data for the treatment of information system becomes possibility.
Fig. 1 shows the flow chart of medical data processing method one embodiment according to the present invention.
As shown in Figure 1, in step S102, from diagnosis records are read in hospital in electronic medical record system.
In step S104, patient information and medical act data are extracted from diagnosis records, and obtain and close with medical act
The hospital of connection is measured main information.
In step S106, for each disease diagnosed in diagnosis records, obtain hospital be measured main body for disease
The first kind statistical index data of disease.The first kind achievement data is referred to as direct indicator data, it can directly passes through
The medical data of one hospital directly acquire.
In step S108, it is measured the first kind statistical index data for disease of main body based on multiple hospitals, passes through
Statistical analysis technique determines the classification standard threshold value for amplifying index classification.Amplification index is referred to as the second class statistics and refers to
Mark refers to by combining the direct indicator data of multiple hospitals to obtain achievement data.
In step S110, amplification achievement data is determined according to classification standard threshold value to determine that hospital is measured the doctor of main body
Curative effect rate.The amplification achievement data embodies medical treatment situation opposite between each hospital, so as to embody hospital master
The medical efficiency of body.
In above-described embodiment, actual key message is extracted by the diagnosis records in hospital information system, and pass through system
The mode of meter analysis determines classification standard, so that the amplification index that hospital is measured main body is obtained, for determining that hospital is measured
The medical efficiency of main body has objectivity and accuracy；Reduce expert's intervention and workload, reduces research and development cost.
Fig. 2 shows the flow charts of another embodiment of medical data processing method according to the present invention.
As shown in Fig. 2, in step 201, read in medical data from each information system of hospital, and by medical data according to
Pre-defined rule carries out structuring output.The information system that Different hospital uses may be different, the different information systems of same hospital
In terms of be also likely to be present difference.To the medical data read in different information systems, according to pre-defined rule into
Row structuring output, may be implemented the unification of data format, be convenient for subsequent processing.
Step 202, for the medical data of structuring output, medical number is formed according to each medical all data of tissue
According to generation electronic health record data." according to medical every time " refers to: the primary medical middle medical data generated are stored in one
In diagnosis records.Patient once goes to a doctor, and there may be a variety of symptoms, it is also possible to which there are medical histories, between these symptoms, medical history
There are internal associations, by these informixes in a diagnosis records, can more accurately extract medical act and make system
Meter.
Step 203, a diagnosis records are read in from hospital information system.
Step 204, the patient information after extracting all desensitizations in diagnosis records and medical act data, and obtain
Each associated hospital of medical act is measured main information, such as doctor, department, information for hospital.
" patient information after desensitization " includes but is not limited to patient base's physiologic information, medical history and diagnosis and treatment note herein
The information such as record, main suit；" medical act data " include but is not limited to inspections, inspections, diagnosis, operation, medication, in hospital, leave hospital etc.
Data.
Step 205, if do not handled there are also diagnosis records, return step 203, until traversing all medical notes
Record；If all diagnosis records are all disposed, 206 are thened follow the steps.
Step 206, for preceding step handle diagnose the illness in each disease, calculate each hospital be measured
The direct indicator of main body.
" hospital is measured main body " mentioned herein refers to the doctor for needing to be measured medical efficiency or department, or doctor
The main bodys such as institute；" direct indicator " is referred to as " first kind statistical indicator ", refers to the number that main body is measured with single hospital
According to the index that can be counted, such as: case of seeing and treating patients quantity, inpatient's quantity, hospital stays distribution of lengths, hospitalization cost point
The information such as cloth, discharge type distribution.Here the index listed is served only for illustrating, and can also include other indexs.
Step 207, merge the direct indicator data that multiple hospitals are measured main body, clearly drawn using the method for statistical analysis
The classification standard that Shen index needs.
" amplification index " is referred to as " the second class statistical indicator " herein, refers to that multiple hospitals is needed to be measured main body
Data comparison statistics after obtain index.For example, the quantity for intractable case of seeing and treating patients in same disease.So-called classification standard,
It can be explained in conjunction with this example are as follows: case can be divided by intractable case according to which type of standard.Below with reference to Fig. 3 into
Row illustrates.Here the amplification index listed is served only for illustrating, and can also include other amplification indexs.
Step 208, determine that hospital is measured the amplification index of main body based on classification standard.
Step 209, judge whether that all diagnosing the illness all has been disposed, if it is, 210 are entered step, it is no
Then, return step 206 continue with other diseases.
Step 210, output hospital is measured the amplification index of main body, and determines that hospital is measured the medical efficiency of main body.
Export measurement result.
In above-described embodiment, the primary medical all medical data generated are merged into a diagnosis records.At another
In embodiment, not according to the medical data of medical tissue, that is to say, that the primary medical medical data generated can store more
In diagnosis records, all diagnosis prescription datas are packed together, do not consider whether these diagnosis prescriptions belong to primary
It is medical, directly count the classification and quantity to diagnose the illness in these medical prescription records.
Fig. 3 shows the flow chart of an application examples of medical data processing method according to the present invention.As shown in figure 3, step
S302 is obtained and is directed to the electronic health record of all patients to diagnose the illness a kind of in regional each hospital.
Step S304 obtains length of stay, the distribution feelings of medical expense that Different hospital is directed to the patient to diagnose the illness
Condition.
Step S306 defines length of stay, the threshold value of medical expense with statistical analysis techniques such as cluster, classification, makees
For the classification standard of intractable case.
Each hospital is exceeded the threshold value for length of stay, the medical expense of the patient to diagnose the illness by step S308
Case be determined as intractable case.
Step S310 determines that the medical treatment of each hospital is imitated according to quantity of each hospital to the intractable case to diagnose the illness
Rate.
It is compared with the prior art such as DRGs, present disclose provides a kind of lightweight medical efficiency measurement schemes, utilize calculating
Machine system carries out computer analysis using data analysis and statistical technique, reduces research and development cost；And it is read in from electronic health record
Data complete measurement, without spending the additional energy of status of medical staff, reduce implementation cost.
Compared to current internet medical platform guiding doctor's class service, this method electronic health record out of institute, data are tight
Careful property and confidence level are promoted.
Fig. 4 shows the structure chart of one embodiment of medical data processing unit according to the present invention.As shown in figure 4, the doctor
Treating data processing equipment includes: diagnosis records read module 41, for reading diagnosis records from HIS；Critical data extracts mould
Block 42 for extracting patient information and medical act data from diagnosis records, and obtains and the associated hospital's quilt of medical act
Measure main information；Direct indicator obtains module 43, for obtaining hospital's quilt for each disease diagnosed in diagnosis records
Measure the first kind statistical index data for disease of main body；Classification standard determining module 44, for being based on multiple hospital's quilts
The first kind statistical index data for disease for measuring main body, by statisticalling analyze the classification determined for amplifying index classification
Level threshold value；Index selection module 45 is amplified, determines hospital for determining amplification achievement data according to classification standard threshold value
It is measured the medical efficiency data of main body.In one embodiment, patient information includes patient base's physiologic information, previously disease
History, diagnosis and treatment record, and/or main suit；And/or medical act data include inspections, inspection, diagnosis, operation, medication, in hospital and/
Or discharge；And/or it includes hospital, department, doctor that hospital, which is measured main body,；And/or direct indicator include see and treat patients case quantity, live
The information such as institute's case quantity, hospital stays distribution of lengths, expenditure distribution of inpatient or discharge type distribution.
In above-described embodiment, reality is extracted by critical data extraction module based on the diagnosis records in hospital information system
Key message, classification standard is determined in such a way that classification standard determining module is by statistical analysis, to obtain hospital's quilt
The amplification index for measuring main body has objectivity and accuracy for determining that hospital is measured the medical efficiency of main body.
Fig. 5 shows the structure chart of another embodiment of medical data processing unit according to the present invention.As shown in figure 5, the doctor
Treat data processing equipment further include: diagnosis records generation module 50, for reading in medical number from each information system of hospital
According to, and the primary medical middle all emergency treatment data generated are stored in a diagnosis records.
The technical solution of the disclosure solves the problems, such as inexpensive objective measurement medical efficiency, compared with the prior art, until
It solves the problems, such as less as follows
1. data are comprehensive and confidence level.By using the electronic health record data from hospital, when covering one section comprehensively
The complete clinic diagnosis behavior of Jian Nei hospital；Electronic health record is objective data, with a high credibility.
2. reducing research and development cost.Technical solution reduces the intervention and workload of expert based on data statistic analysis, drop
Low research and development costs.
3. reducing use cost.Data directly are read in from electronic medical record system and are statisticallyd analyze, and status of medical staff is not necessarily to
Energy is specially put into thus, reduces use cost.
In an exemplary embodiment of the disclosure, a kind of electricity that can be realized above-mentioned medical data processing method is additionally provided
Sub- equipment.
Person of ordinary skill in the field it is understood that various aspects of the invention can be implemented as system, method or
Program product.Therefore, various aspects of the invention can be embodied in the following forms, it may be assumed that complete hardware embodiment, complete
The embodiment combined in terms of full Software Implementation (including firmware, microcode etc.) or hardware and software, can unite here
Referred to as circuit, " module " or " system ".
The electronic equipment 600 of this embodiment according to the present invention is described referring to Fig. 6.The electronics that Fig. 6 is shown
Equipment 600 is only an example, should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in fig. 6, electronic equipment 600 is showed in the form of universal computing device.The component of electronic equipment 600 can wrap
It includes but is not limited to: at least one above-mentioned processing unit 610, at least one above-mentioned storage unit 620, the different system components of connection
The bus 630 of (including storage unit 620 and processing unit 610).
Wherein, the storage unit is stored with program code, and said program code can be held by the processing unit 610
Row, so that various according to the present invention described in the execution of the processing unit 610 above-mentioned " illustrative methods " part of this specification
The step of illustrative embodiments.For example, the processing unit 610 can execute S102 as shown in Figure 1, from information for hospital
Diagnosis records are read in system；S104 extracts patient information and medical act data from diagnosis records, and obtains and medical row
Main information is measured for associated hospital；S106 obtains hospital's quilt for each disease diagnosed in diagnosis records
Measure the direct indicator for the disease of main body；S108, based on multiple hospitals be measured main body for the disease
Direct indicator data determine the classification standard for amplifying index classification by statistical method；S110 is determined according to classification standard
Index is amplified to determine that hospital is measured the medical efficiency of main body.
Storage unit 620 may include the readable medium of volatile memory cell form, such as Random Access Storage Unit
(RAM) 6201 and/or cache memory unit 6202, it can further include read-only memory unit (ROM) 6203.
Storage unit 620 can also include program/utility with one group of (at least one) program module 6205
6204, such program module 6205 includes but is not limited to: operating system, one or more application program, other program moulds
It may include the realization of network environment in block and program data, each of these examples or certain combination.
Bus 630 can be to indicate one of a few class bus structures or a variety of, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use any bus structures in a variety of bus structures
Local bus.
Electronic equipment 600 can also be logical with one or more external equipments (such as keyboard, sensing equipment, bluetooth equipment etc.)
Letter, can also be enabled a user to one or more equipment interact with the electronic equipment 600 communicate, and/or with make the electricity
Any equipment (such as router, modem etc. that sub- equipment 600 can be communicated with one or more of the other calculating equipment
Deng) communication.This communication can be carried out by input/output (I/O) interface 650.Also, electronic equipment 600 can also pass through
Network adapter 660 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network, such as
Internet) communication.As shown, network adapter 660 is communicated by bus 630 with other modules of electronic equipment 600.It should
Understand, although not shown in the drawings, other hardware and/or software module can be used in conjunction with electronic equipment 600, including but unlimited
In: microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and number
According to backup storage system etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, terminal installation or network equipment etc.) is executed according to disclosure embodiment
Method.
In an exemplary embodiment of the disclosure, a kind of computer readable storage medium is additionally provided, energy is stored thereon with
Enough realize the program product of this specification above method.In some possible embodiments, various aspects of the invention may be used also
In the form of being embodied as a kind of program product comprising program code, when described program product is run on the terminal device, institute
Program code is stated for executing the terminal device described in above-mentioned " illustrative methods " part of this specification according to this hair
The step of bright various illustrative embodiments.
Refering to what is shown in Fig. 7, describing the program product for realizing the above method of embodiment according to the present invention
700, can using portable compact disc read only memory (CD-ROM) and including program code, and can in terminal device,
Such as it is run on PC.However, program product of the invention is without being limited thereto, in this document, readable storage medium storing program for executing can be with
To be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
It is in connection.
Described program product can be using any combination of one or more readable mediums.Readable medium can be readable letter
Number medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or
System, device or the device of semiconductor, or any above combination.The more specific example of readable storage medium storing program for executing is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM), read-only
Memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory
(CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
In carry readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal,
Optical signal or above-mentioned any appropriate combination.Readable signal medium can also be any readable Jie other than readable storage medium storing program for executing
Matter, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or and its
The program of combined use.
The program code for including on readable medium can transmit with any suitable medium, including but not limited to wirelessly, have
Line, optical cable, RF etc. or above-mentioned any appropriate combination.
The program for executing operation of the present invention can be write with any combination of one or more programming languages
Code, described program design language include object oriented program language-Java, C++ etc., further include conventional
Procedural programming language-such as " C " language or similar programming language.Program code can be fully in user
It calculates and executes in equipment, partly executes on a user device, being executed as an independent software package, partially in user's calculating
Upper side point is executed on a remote computing or is executed in remote computing device or server completely.It is being related to far
Journey calculates in the situation of equipment, and remote computing device can pass through the network of any kind, including local area network (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In addition, although describing each step of method in the disclosure in the accompanying drawings with particular order, this does not really want
These steps must be executed in this particular order by asking or implying, or having to carry out step shown in whole could realize
Desired result.Additional or alternative, it is convenient to omit multiple steps are merged into a step and executed by certain steps, and/
Or a step is decomposed into execution of multiple steps etc..
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, mobile terminal or network equipment etc.) is executed according to disclosure embodiment
Method.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Person's adaptive change follows the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by appended
Claim is pointed out.
Claims (10)
1. a kind of medical data processing method characterized by comprising
From diagnosis records are read in hospital in electronic medical record system；
Patient information and medical act data are extracted from the diagnosis records, and are obtained tested with the associated hospital of medical act
Measure main information；
For each disease diagnosed in diagnosis records, the first kind system that the hospital is measured the disease of main body is obtained
Count achievement data；
It is measured the first kind statistical index data for the disease of main body based on multiple hospitals, passes through statistical analysis
Determine the classification standard threshold value for amplifying index classification；
The amplification achievement data of the measured main body of the hospital is determined according to the classification standard threshold value to determine the hospital
It is measured the medical efficiency data of main body.
2. the method according to claim 1, wherein
The patient information includes patient base's physiologic information, medical history, diagnosis and treatment record, and/or main suit；
And/or
The medical act data include inspection, inspection, diagnosis, operation, medication, are hospitalized, and/or leave hospital；
And/or
It includes hospital, department, doctor that the hospital, which is measured main body,；
And/or
The first kind statistical index data include see and treat patients case quantity, inpatient's quantity, hospital stays distribution of lengths, be hospitalized
Expense distribution or discharge type distribution.
3. method according to claim 1 or 2, which is characterized in that medical from being read in electronic medical record system in hospital
Before record further include:
Medical data are read in from each information system of hospital, and the primary medical middle all medical data generated are stored in
In one diagnosis records.
4. according to the method described in claim 3, it is characterized by further comprising:
The medical data read in from each information system of hospital are subjected to structuring output according to pre-defined rule.
5. the method according to claim 1, wherein the patient information is the patient information after desensitization.
6. the method according to claim 1, wherein it is described based on multiple hospitals be measured main body for
The first kind statistical index data of the disease determines that the classification thresholds for amplifying index classification include: by statistical analysis
It is measured the first kind statistical index data for the disease of main body based on multiple hospitals, passes through clustering method
The threshold value for amplifying index classification is determined, as classification standard.
7. a kind of medical data processing unit characterized by comprising
Diagnosis records read module, for from reading diagnosis records in hospital in electronic medical record system；
Critical data extraction module, for extracting patient information and medical act data from the diagnosis records, and obtain with
The associated hospital of medical act is measured main information；
Direct indicator obtains module, for obtaining the hospital and being measured master for each disease diagnosed in diagnosis records
The first kind statistical index data for the disease of body；
Classification standard determining module, the first kind for the disease for being measured main body based on multiple hospitals count
Achievement data, by statisticalling analyze the classification standard threshold value determined for amplifying index classification；
Index selection module is amplified, for determining that the hospital is measured the amplification index of main body according to the classification standard threshold value
Data, to determine that the hospital is measured the medical efficiency data of main body.
8. device according to claim 7, which is characterized in that further include:
Diagnosis records generation module, for reading in medical data from each information system of hospital, and middle produce that will once go to a doctor
Raw all emergency treatment data are stored in a diagnosis records.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
Medical data processing method described in any one of claim 1~6 is realized when processor executes.
10. a kind of electronic equipment characterized by comprising
Processor；And
Memory, for storing the executable instruction of the processor；
Wherein, the processor is configured to come any one of perform claim requirement 1~6 institute via the execution executable instruction
State medical data processing method.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110070946A (en) * | 2019-04-30 | 2019-07-30 | 上海复繁信息科技有限公司 | The method that a kind of pair of atrial fibrillation Single diseases follow up data carries out quality control operation |
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| CN110459276A (en) * | 2019-08-15 | 2019-11-15 | 北京嘉和海森健康科技有限公司 | A kind of data processing method and relevant device |
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Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1252877A (en) * | 1997-03-13 | 2000-05-10 | 第一咨询公司 | Disease management system |
| US20050022168A1 (en) * | 2003-06-11 | 2005-01-27 | The Research Foundation Of The State University Of New York | Method and system for detecting discriminatory data patterns in multiple sets of data |
| US20060210133A1 (en) * | 2005-03-03 | 2006-09-21 | Sriram Krishnan | Performance adjustments in medical decision support systems |
| US20110125319A1 (en) * | 2009-11-23 | 2011-05-26 | Elmer Sebastian Torres Farr | Vending machine for dispensing foods and the like |
| CN103534658A (en) * | 2010-12-28 | 2014-01-22 | 株式会社东芝 | Process monitoring and diagnosis system |
| CN103679393A (en) * | 2013-12-27 | 2014-03-26 | 上海市东方医院（同济大学附属东方医院） | Clinical pathway management evaluation index system and method based on analytic hierarchy process |
| US20140163393A1 (en) * | 2009-05-20 | 2014-06-12 | Sotera Wireless, Inc. | Alarm system that processes both motion and vital signs using specific heuristic rules and thresholds |
| CN105528529A (en) * | 2016-02-20 | 2016-04-27 | 成都中医药大学 | Data processing method of traditional Chinese medicine clinical skill evaluation system based on big data analysis |
| CN105893766A (en) * | 2016-04-06 | 2016-08-24 | 成都数联易康科技有限公司 | Graded diagnosis and treatment evaluating method based on data mining |
| CN106021967A (en) * | 2016-07-12 | 2016-10-12 | 上海市浦东新区周浦医院 | Data processing method for clinical pathway quality evaluation |
| CN106462928A (en) * | 2014-04-16 | 2017-02-22 | 维尔斯医疗新加坡私人有限公司 | Patient care and health information management systems and methods |
| CN106485403A (en) * | 2016-09-27 | 2017-03-08 | 成都金盘电子科大多媒体技术有限公司 | Hospital evaluation system and evaluation method based on medical big data |
| CN106777921A (en) * | 2016-11-29 | 2017-05-31 | 成都中医药大学 | The constructing system and method for a kind of three tree net evaluation models based on traditional Chinese medical science big data |
| US20170364646A1 (en) * | 2016-06-20 | 2017-12-21 | hMetrix LLC | Method and system for analyzing and displaying optimization of medical resource utilization |
| CN107610779A (en) * | 2017-10-25 | 2018-01-19 | 医渡云（北京）技术有限公司 | Disease Assessment Scale and risk appraisal procedure and device |
| CN107799160A (en) * | 2017-10-26 | 2018-03-13 | 医渡云（北京）技术有限公司 | Medication aid decision-making method and device, storage medium, electronic equipment |
| CN108090068A (en) * | 2016-11-21 | 2018-05-29 | 医渡云（北京）技术有限公司 | The sorting technique and device of table in hospital database |
| CN108460693A (en) * | 2018-03-29 | 2018-08-28 | 平安健康保险股份有限公司 | Insure character surveillance method and device, storage medium and the terminal of chain hospital |
| US20180253624A1 (en) * | 2017-03-06 | 2018-09-06 | Siemens Medical Solutions Usa, Inc. | Defective Pixel Identification Using Machine Learning |
-
2018
- 2018-11-09 CN CN201811334200.5A patent/CN109524069B/en active Active
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1252877A (en) * | 1997-03-13 | 2000-05-10 | 第一咨询公司 | Disease management system |
| US20050022168A1 (en) * | 2003-06-11 | 2005-01-27 | The Research Foundation Of The State University Of New York | Method and system for detecting discriminatory data patterns in multiple sets of data |
| US20060210133A1 (en) * | 2005-03-03 | 2006-09-21 | Sriram Krishnan | Performance adjustments in medical decision support systems |
| US20140163393A1 (en) * | 2009-05-20 | 2014-06-12 | Sotera Wireless, Inc. | Alarm system that processes both motion and vital signs using specific heuristic rules and thresholds |
| US20110125319A1 (en) * | 2009-11-23 | 2011-05-26 | Elmer Sebastian Torres Farr | Vending machine for dispensing foods and the like |
| CN103534658A (en) * | 2010-12-28 | 2014-01-22 | 株式会社东芝 | Process monitoring and diagnosis system |
| CN103679393A (en) * | 2013-12-27 | 2014-03-26 | 上海市东方医院（同济大学附属东方医院） | Clinical pathway management evaluation index system and method based on analytic hierarchy process |
| CN106462928A (en) * | 2014-04-16 | 2017-02-22 | 维尔斯医疗新加坡私人有限公司 | Patient care and health information management systems and methods |
| CN105528529A (en) * | 2016-02-20 | 2016-04-27 | 成都中医药大学 | Data processing method of traditional Chinese medicine clinical skill evaluation system based on big data analysis |
| CN105893766A (en) * | 2016-04-06 | 2016-08-24 | 成都数联易康科技有限公司 | Graded diagnosis and treatment evaluating method based on data mining |
| US20170364646A1 (en) * | 2016-06-20 | 2017-12-21 | hMetrix LLC | Method and system for analyzing and displaying optimization of medical resource utilization |
| CN106021967A (en) * | 2016-07-12 | 2016-10-12 | 上海市浦东新区周浦医院 | Data processing method for clinical pathway quality evaluation |
| CN106485403A (en) * | 2016-09-27 | 2017-03-08 | 成都金盘电子科大多媒体技术有限公司 | Hospital evaluation system and evaluation method based on medical big data |
| CN108090068A (en) * | 2016-11-21 | 2018-05-29 | 医渡云（北京）技术有限公司 | The sorting technique and device of table in hospital database |
| CN106777921A (en) * | 2016-11-29 | 2017-05-31 | 成都中医药大学 | The constructing system and method for a kind of three tree net evaluation models based on traditional Chinese medical science big data |
| US20180253624A1 (en) * | 2017-03-06 | 2018-09-06 | Siemens Medical Solutions Usa, Inc. | Defective Pixel Identification Using Machine Learning |
| CN107610779A (en) * | 2017-10-25 | 2018-01-19 | 医渡云（北京）技术有限公司 | Disease Assessment Scale and risk appraisal procedure and device |
| CN107799160A (en) * | 2017-10-26 | 2018-03-13 | 医渡云（北京）技术有限公司 | Medication aid decision-making method and device, storage medium, electronic equipment |
| CN108460693A (en) * | 2018-03-29 | 2018-08-28 | 平安健康保险股份有限公司 | Insure character surveillance method and device, storage medium and the terminal of chain hospital |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110070946A (en) * | 2019-04-30 | 2019-07-30 | 上海复繁信息科技有限公司 | The method that a kind of pair of atrial fibrillation Single diseases follow up data carries out quality control operation |
| CN110459276B (en) * | 2019-08-15 | 2022-05-24 | 北京嘉和海森健康科技有限公司 | Data processing method and related equipment |
| CN110459276A (en) * | 2019-08-15 | 2019-11-15 | 北京嘉和海森健康科技有限公司 | A kind of data processing method and relevant device |
| CN110459285A (en) * | 2019-08-16 | 2019-11-15 | 济南大学 | Preprocess method, system, equipment and the medium of the medical data of disease |
| CN110706769A (en) * | 2019-09-20 | 2020-01-17 | 上海金仕达卫宁软件科技有限公司 | Method and device for DRGs grouping of medical insurance data and electronic equipment |
| CN111063446A (en) * | 2019-12-17 | 2020-04-24 | 医渡云（北京）技术有限公司 | Method, apparatus, device and storage medium for standardizing medical text data |
| CN111243756A (en) * | 2020-01-21 | 2020-06-05 | 杭州杏林信息科技有限公司 | Method and device for counting infection cases of type I incision operation part and storage medium |
| CN111554371A (en) * | 2020-03-30 | 2020-08-18 | 平安医疗健康管理股份有限公司 | Internet data processing method and device, computer equipment and storage medium |
| CN112420142A (en) * | 2020-11-20 | 2021-02-26 | 上海梅斯医药科技有限公司 | Data acquisition method and device, computer equipment and storage medium |
| CN113077857A (en) * | 2021-03-15 | 2021-07-06 | 医渡云（北京）技术有限公司 | Medical data correlation method and device |
| CN113724883A (en) * | 2021-08-31 | 2021-11-30 | 平安科技（深圳）有限公司 | Medical expense prediction method and device, storage medium and computer equipment |
| CN113724883B (en) * | 2021-08-31 | 2023-09-15 | 平安科技（深圳）有限公司 | Medical expense prediction method, medical expense prediction device, storage medium and computer equipment |
| CN114334043A (en) * | 2021-12-30 | 2022-04-12 | 上海柯林布瑞信息技术有限公司 | Medical insurance-based diagnosis and treatment critical path monitoring method and device |
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