CN109634941A - Medical data processing method, device, electronic equipment and storage medium - Google Patents

Medical data processing method, device, electronic equipment and storage medium Download PDF

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CN109634941A
CN109634941A CN201811351571.4A CN201811351571A CN109634941A CN 109634941 A CN109634941 A CN 109634941A CN 201811351571 A CN201811351571 A CN 201811351571A CN 109634941 A CN109634941 A CN 109634941A
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medical
data
medical data
index library
rule
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CN109634941B (en
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程东旭
张治宇
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Golden Panda Co Ltd
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Golden Panda Co Ltd
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Abstract

The embodiment provides a kind of medical data processing method, device, electronic equipment and storage mediums, are related to big data technical field.This method comprises: analyzing the medical data in target data source, multiple indicator-specific statistics rules are obtained;The medical data in target data source is drawn into the first medical index library based on indicator-specific statistics rule;The medical data in the first medical index library is verified based on pre-determined draw rule, wherein pre-determined draw rule is the verification rule verified to the medical data in the first medical index library;When determining that the medical data in the first medical index library is wrong through verification, wrong medical data will be verified and be drawn into the second medical index library.The technical solution of the embodiment of the present invention can automatically verify the data from target data source, find data problem earlier, and then can reduce the rehabilitation cost of data.

Description

Medical data processing method, device, electronic equipment and storage medium
Technical field
The present invention relates to big data technical fields, at a kind of medical data processing method, medical data Manage device, electronic equipment and computer readable storage medium.
Background technique
With the development of medical information, various big hospital has formd HIS (Hospital Information System, hospital information system), LIS (Laboratory Information Management System, laboratory information Management system) etc. medical information systems, have accumulated a large amount of medical data in these medical information systems.
For the medical data of application accumulation, need medical data extracting application end from data source.Currently, general Using the mode of ETL (extract-transform-load, extraction-conversion-load) by data from data source (for example, former Beginning operation system) by extracting, converting, being loaded onto destination (for example, data warehouse).ETL can be by dispersion, isomeric data Data such as relation data, flat data file in source are cleaned, are converted, and data warehouse or Data Mart are finally loaded into In.It is shown referring to Fig.1 in a kind of technical solution, the medical data of clinical treatment system end 110 is cleaned, is converted, is added It carries, by treated, medical data is drawn into data platform end 120, and finally passes data to using 130, in application end 130 completion data are for example checked and approved or school finds number in use with hospital existing report data compared with testing It is fed back according to problem.
However, not only needing manually to verify medical data, but also arrive in medical data in this technical solution The problem of medical data inaccuracy, the higher cost of data reparation can be just exposed after application end.
It should be noted that information is only used for reinforcing the reason to background of the present invention 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 embodiment of the present invention is designed to provide a kind of medical data processing method, medical data processing unit, electronics Equipment and computer readable storage medium, and then needs is overcome manually to verify to medical data at least to a certain extent And data reparation higher cost the problem of.
According to a first aspect of the embodiments of the present invention, a kind of medical data processing method is provided, comprising: to target data Medical data in source is analyzed, and multiple indicator-specific statistics rules are obtained;Based on the indicator-specific statistics rule by the number of targets It is drawn into the first medical index library according to the medical data in source;Based on pre-determined draw rule in first medical index library Medical data verified, wherein the pre-determined draw rule be to the medical data in first medical index library into The verification rule of row verification;When determining that the medical data in first medical index library is wrong through verification, will verify wrong Medical data be drawn into the second medical index library.
In some embodiments of the invention, aforementioned schemes, the medical data processing method further include: through school are based on The medical data in determining first medical index library is tested without mistaking, errorless medical data will be verified as reference data; The reference data is imported into third medical index library.
In some embodiments of the invention, aforementioned schemes are based on, first medical treatment is referred to based on pre-determined draw rule Medical data in mark library is verified, comprising: is obtained from third medical index library based on the indicator-specific statistics rule The reference data;Based on the pre-determined draw rule and the reference data to the medical treatment in first medical index library Data are verified.
In some embodiments of the invention, aforementioned schemes, the medical data processing method are based on further include: be based on institute The medical data stated in target data source verifies the medical data in second medical index library;It is determined through verification Medical data in second medical index library determines that pre-determined draw corresponding with errorless medical data is verified is advised without mistaking Then;The check results adjustment corresponding pre-determined draw rule based on the errorless medical data of the verification.
In some embodiments of the invention, aforementioned schemes, the medical treatment method are based on further include: true being verified When medical data in fixed second medical index library is wrong, pre-determined draw corresponding with wrong medical data is verified is determined Rule;Trusted identities are added to the identified corresponding pre-determined draw rule.
In some embodiments of the invention, aforementioned schemes are based on, the pre-determined draw rule includes: that index major key repeats It is more each less than or equal to first threshold, hospital than change rate that rate is zero, same index year-on-year growth rate is more than or equal to zero, same index ring Rank association rate of going to a doctor between system is more than or equal to one of second threshold or a variety of.
In some embodiments of the invention, aforementioned schemes, the medical data processing method further include: pass through figure are based on Sheet form shows the medical data in first medical index library and second medical index library.
According to a second aspect of the embodiments of the present invention, a kind of medical data processing unit is provided, comprising: indicator-specific statistics rule Then acquiring unit obtains multiple indicator-specific statistics rules for analyzing the medical data in target data source;First data Extracting unit refers to for the medical data in the target data source to be drawn into the first medical treatment based on the indicator-specific statistics rule It marks in library;Verification unit, for being verified based on pre-determined draw rule to the medical data in first medical index library, Wherein, the pre-determined draw rule is the verification rule verified to the medical data in first medical index library;The Two data pick-up units, for when determining that the medical data in first medical index library is wrong through verification, verification to be had Medical data accidentally is drawn into the second medical index library.
According to a third aspect of the embodiments of the present invention, a kind of electronic equipment is provided, comprising: processor;And memory, It is stored with computer-readable instruction on the memory, is realized when the computer-readable instruction is executed by the processor as above State medical data processing method described in first aspect.
According to a fourth aspect of the embodiments of the present invention, a kind of computer readable storage medium is provided, meter is stored thereon with Calculation machine program realizes the medical data processing side as described in above-mentioned first aspect when the computer program is executed by processor Method.
In the technical solution provided by some embodiments of the present invention, on the one hand, based on analyzing to medical data To indicator-specific statistics rule medical data is drawn into the first medical index library, convenient for according to medical data index to medical number According to being handled;On the other hand, the medical data in the first medical index library is verified based on pre-determined draw rule, high-ranking officers It tests wrong medical data to be drawn into the second medical index library, school automatically can be carried out to the data from target data source It tests;In another aspect, due to that can find data problem before medical data reaches application end, so as to find number earlier According to problem, and then it can reduce the rehabilitation cost of data.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not It can the limitation present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention Example, and be used to explain the principle of the present invention together with specification.It should be evident that the accompanying drawings in the following description is only the present invention Some embodiments for those of ordinary skill in the art without creative efforts, can also basis These attached drawings obtain other attached drawings.In the accompanying drawings:
Fig. 1 shows a kind of schematic block diagram of the clinical medical data processing system in prior art;
Fig. 2 shows the flow diagrams of medical data processing method according to some embodiments of the present invention;
Fig. 3 shows the schematic block diagram of medical treatment data processing system according to some embodiments of the present invention;
Fig. 4 shows the schematic block diagram of medical data processing unit according to some embodiments of the present invention;
Fig. 5 shows the structural schematic diagram for being suitable for the computer system for the electronic equipment for being used to realize the embodiment of the present invention.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be real in a variety of forms It applies, and is not understood as limited to embodiment set forth herein;On the contrary, thesing embodiments are provided so that the present invention will be comprehensively and complete It is whole, and the design of example embodiment is comprehensively communicated to those skilled in the art.Identical appended drawing reference indicates in figure Same or similar part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner In example.In the following description, many details are provided to provide and fully understand to the embodiment of the present invention.However, It will be appreciated by persons skilled in the art that technical solution of the present invention can be practiced without one or more in specific detail, Or it can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known side Method, device, realization or operation are to avoid fuzzy each aspect of the present invention.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity. I.e., it is possible to realize these functional entitys using software form, or realized in one or more hardware modules or integrated circuit These functional entitys, or these functional entitys are realized in heterogeneous networks and/or processor device and/or microcontroller device.
Flow chart shown in the drawings is merely illustrative, it is not necessary to including all content and operation/step, It is not required to execute by described sequence.For example, some operation/steps can also decompose, and some operation/steps can close And or part merge, therefore the sequence actually executed is possible to change according to the actual situation.
In a kind of technical solution, proper ETL tool is selected for example: Datastage, Kettle, The medical data at clinical treatment end is drawn into data warehouse by configuring corresponding data pick-up rule by Powercenter etc. In.Had in extraction process and do some simple data checks work, for example, verification number of data source and destination whether Unanimously, whether source and the null value rate of destination field are consistent etc..It is then possible to by report demonstration tool by medical data with The form of report is shown and existing report data is checked and relatively tested.
In the technical scheme, it is also desirable to manually medical data be verified, it is difficult to find that medical data is asked earlier Topic, the higher cost of data reparation.
Fig. 2 shows the flow diagrams of medical data processing method according to some embodiments of the present invention.Referring to Fig. 2 Shown, which may comprise steps of:
Step S210 analyzes the medical data in target data source, obtains multiple indicator-specific statistics rules;
Medical data in the target data source is drawn into the first doctor based on the indicator-specific statistics rule by step S220 It treats in index storehouse;
Step S230 verifies the medical data in first medical index library based on pre-determined draw rule, In, the pre-determined draw rule is the verification rule verified to the medical data in first medical index library;
Step S240 will be verified wrong when determining that the medical data in first medical index library is wrong through verification Medical data be drawn into the second medical index library.
Medical data processing method according to fig. 2, on the one hand, the indicator-specific statistics obtained based on the analysis to medical data Medical data is drawn into the first medical index library by rule, is handled convenient for the index according to medical data medical data; On the other hand, the medical data in the first medical index library is verified based on pre-determined draw rule, wrong doctor will be verified Data pick-up is treated into the second medical index library, automatically the data from target data source can be verified;Another side Face, due to that can find data problem before medical data reaches application end, so as to find data problem earlier, into And it can reduce the rehabilitation cost of data.
In the following, the medical data processing method in the example embodiment to Fig. 2 is described in detail.
In step S210, the medical data in target data source is analyzed, obtains multiple indicator-specific statistics rules.
In some example embodiments, target data source is the existing clinical medical data of hospital.All due to each hospital The data volume of medical data with magnanimity for example several TB to tens TB, it is contemplated that the distributed processing framework of big data technology has There is the advantage of quickly processing mass data, distributed data base can be selected to store the medical data of target data source.Distribution Formula database can be HIVE database or MongoDB database, and the present invention is to this without particular determination.
In the exemplary embodiment, can by the ETL of the data source of objective hospital (Extract Transform Load, Extracting conversion load) database of layer is as data warehouse, based on the clinical medical data that data source is obtained from objective hospital, It concludes and expands in conjunction with the base values in the daily statistical evaluation of chapter 7 in " three-level general hospital review standards of designing detailed rules for the implementation " It fills to obtain multiple indicator-specific statistics rules.
Multiple indexs may include: resource distribution index, workload indicator, therapeutic quality index, working efficiency index, The indexs such as burden of patients index, asset operation index.Wherein, resource distribution index may include practical opening bed, Quan Yuanyuan Work sum, health technical personnel, medical construction area etc..Indicator-specific statistics rule is the rule counted to each index Then, various dimensions point can be carried out to each index according to dimensions such as year, month, day, department, visit types by indicator-specific statistics rule Analysis.
In step S220, the medical data in the target data source is drawn into based on the indicator-specific statistics rule In one medical index library.
In some example embodiments, the database of the medical data of target data source will can be stored as data bins Medical data is drawn into the first medical index library by library based on These parameters statistical rules from data warehouse, such as will be with finger The corresponding data of index in mark statistical rules are drawn into the first medical index library from data warehouse.First medical index library is Basic medical treatment index storehouse, for storing the medical data extracted according to These parameters statistical rules from data warehouse.
In the first medical index library, that is, basic medical treatment index storehouse, index can be divided by the correlation of each system of hospital Are as follows: seven resource distribution, workload, therapeutic quality, working efficiency, burden of patients, asset operation, scientific achievement modules.Its In, workload indicator may include: a year outpatient service flow, health examination person-time, year emergency treatment person-time, year inpatient discharge example Number, year hospitalisation for surgery number of cases etc..
In step S230, school is carried out to the medical data in first medical index library based on pre-determined draw rule It tests, wherein the pre-determined draw rule is the verification rule verified to the medical data in first medical index library.
In the exemplary embodiment, the medical data in the first medical index library can be summarized and analyzed, is made a reservation for Decimation rule, the pre-determined draw rule are the verification rule verified to the medical data in the first medical index library.It is logical It crosses the pre-determined draw rule to verify the medical data in the first medical index library, for example, being in pre-determined draw rule When same index year-on-year growth rate cannot be negative, can under verifying work load index year outpatient service flow year-on-year growth rate be It is no to be negative, if the year-on-year growth rate of year outpatient service flow is negative, determine that the medical data is wrong.
It should be noted that the index major key repetitive rate that pre-determined draw rule may include: each table of data warehouse be zero, it is same One index year-on-year growth rate is more than or equal to zero, same index ring and is less than or equal between each system of first threshold, hospital just than change rate It examines rank association rate and is more than or equal to one of second threshold or a variety of.Further, it is also possible to which decimation rule example is added as needed The medical data of such as same index is continuous in time.In some embodiments, first threshold can be 100%, second Threshold value can be 95%, and it is also possible to adjust first threshold and second threshold according to check results, the present invention is to first threshold With second threshold without particular determination.
It is possible to further regular according to the different adjustment pre-determined draws in month, for example, February becomes due to weather condition To change acutely, same index ring is likely larger than first threshold than change rate, therefore, the medical data of corresponding February, by same When one index ring is verified than change rate rule, when the ring of medical data is greater than first threshold than change rate, by the medical treatment Data are determined as correct medical data.
Step S240 will be verified wrong when determining that the medical data in first medical index library is wrong through verification Medical data be drawn into the second medical index library.
In the exemplary embodiment, school is carried out to the medical data in the first medical index library by above-mentioned pre-determined draw rule It tests, the decimation rule for example, by using same index year-on-year growth rate more than or equal to zero is to the medical data in the first medical index library It is verified, when verifying the year-on-year growth rate of medical data of same index less than zero, determines that the medical data is wrong, high-ranking officers The wrong medical data is tested to be drawn into the second medical index library.Second medical index library, that is, early warning medical index library, is used for Storage verifies wrong medical data.
It is extracted from basic medical treatment index storehouse by pre-determined draw rule and verifies wrong data to the second medical index library In i.e. early warning medical index library, can be realized the medical data verifying function of automation.
Further, it in order to make full use of check results, is verified in the first medical index library through pre-determined draw rule Medical data can will verify errorless medical data as reference data, will verify errorless medical data and import without mistaking Into third medical index library.Third medical index library is benchmark medical index library, verifies errorless medical data for storing That is reference data can verify the medical data in the first medical index library by the reference data in third medical index library. It is imported into third medical index library by the way that errorless medical data will be verified as reference data, continuous iteration base can be passed through Quasi- data carry out version to improve verification rule and reference data so as to make full use of the check results verified every time and mention The quality of medical data is risen.
Specifically, can be referred to based on this when verifying the medical data under a certain index in the first medical index library Target indicator-specific statistics rule obtains corresponding reference data from third medical index library, based on above-mentioned pre-determined draw rule and The reference data of acquisition verifies the medical data in the first medical index library.Wrong data will be verified and import the second doctor It treats in index storehouse to carry out more detailed data analysis.
Further, since the medical data of the basic medical treatment index in the second medical index library, that is, early warning medical index library is different Fixed mistake, therefore, can further verify the medical data in the second medical index library.
It in some example embodiments, can be based on the medical data in target data source in the second medical index library Medical data is verified, and is being verified the medical data in determining second medical index library without mistaking, determined errorless with verification Medical data corresponding pre-determined draw rule, the check results based on the medical data adjust corresponding pre-determined draw rule Then.For example, can be based on the medical data in target data source to the moon outpatient service people of the workload in the second medical index library Medical data under number index is verified, and, without mistaking, is determining the corresponding pre-determined draw rule of the medical data i.e. through verification Determine that the medical data is extracted by which decimation rule, determine the medical data be by ring than change rate be less than etc. In first threshold decimation rule extract when, can increase first threshold such as first threshold be 100% when, by first threshold tune Whole is 120%.
Fig. 3 shows the schematic block diagram of medical treatment data processing system according to some embodiments of the present invention.
Referring to shown in Fig. 3, which may include: clinical treatment system end 310, data platform end 320, the first medical index library 330, correction verification module 340, the second medical index library 350 and application end 360.Wherein, clinical doctor Treating system end 310 can be used as data source, add after being cleaned, being converted to the medical data of clinical treatment system end 310 It is downloaded to data platform end 320.The database at data platform end 320 can be used as data warehouse, based on the doctor in the data warehouse Treating data combines the reference index in " three-level general hospital review standards of designing detailed rules for the implementation " in the daily statistical evaluation of chapter 7 to return It receives out multiple indicator-specific statistics rule, the medical data in data platform end 320 is drawn into the based on the indicator-specific statistics rule In one medical index library 330.In the first medical index library 330, index can be divided into according to the correlation of each system of hospital: Seven resource distribution, workload, therapeutic quality, working efficiency, burden of patients, asset operation, scientific achievement modules.It is verifying In module 340, the medical data in the first medical index library 330 can be summarized and analyzed, obtain pre-determined draw rule, institute Stating pre-determined draw rule is the verification rule verified to the medical data in the first medical index library 330.
It is wrong through verifying after being verified in correction verification module 340 to the medical data in the first medical index library 330 Medical data is sent to the second medical index library 350, is sent to application end 360 for errorless medical data is verified.
It is possible to further based on the medical data in target data source to the medical number in the second medical index library 350 According to being verified, when determining that the medical data in the second medical index library 350 is wrong through verification, determines and verify wrong doctor The corresponding pre-determined draw rule of data is treated, trusted identities are added to identified pre-determined draw rule.For example, can be cured to second The medical data treated under the moon outpatient service index of number of the workload in index storehouse 350 verifies, and when verifying wrong, determines The corresponding pre-determined draw rule of the medical data, that is, determine that the medical data is extracted by which decimation rule, in determination The medical data is when being extracted by ring than the decimation rule that change rate is less than or equal to first threshold, can to add to the decimation rule Add trusted identities, for example, the field of a trusted identities can be added for the decimation rule.By being added to pre-determined draw rule Trusted identities can adjust pre-determined draw rule, so as to promote the accuracy of pre-determined draw rule, together according to trusted identities When also can constantly improve the quality of data.
In addition, in some embodiments, the display platform of medical data can also be built, by the first medical index library and Medical data in two medical index libraries passes through ECharts and is intuitively shown with chart, so as to more convenient and quicker Observation analysis is carried out to achievement data.ECharts is to be realized by a kind of open source type diagrammatic representation tool using JavaScript Open source visualization library smooth can operate on personal computer and mobile device, compatible current most browsers (IE8/9/10/11, Chrome, Firefox, Safari etc.), is capable of providing that intuitive, interaction is abundant, can height personalized customization Data visualization chart.These advantages based on ECharts, can be by it as the visual presentation tool of achievement data.
Further, it is also possible to which approved errorless medical data is stamped trusted identities medical number for example errorless to approval According to credible field is added, illustrate the accurate foundation of data as when delivering downstream application end and hospital.
In addition, in an embodiment of the present invention, additionally providing a kind of medical data processing unit.Referring to shown in Fig. 4, the doctor Treating data processing equipment may include: indicator-specific statistics Rule unit 410, the first data pick-up unit 420, verification unit 430 and the second data pick-up unit 440.Wherein, indicator-specific statistics Rule unit 410 is used for the doctor in target data source It treats data to be analyzed, obtains multiple indicator-specific statistics rules;First data pick-up unit 420 is used to advise based on the indicator-specific statistics Then the medical data in the target data source is drawn into the first medical index library;Verification unit 430 is used for based on predetermined Decimation rule verifies the medical data in first medical index library, wherein the pre-determined draw rule is to institute State the verification rule that the medical data in the first medical index library is verified;Second data pick-up unit 440 is used for through school Test determine first medical index library in medical data it is wrong when, will verify wrong medical data be drawn into second medical treatment In index storehouse.
In some embodiments of the invention, aforementioned schemes, the medical data processing unit 400 further include: base are based on Quasi- data import unit will verify nothing for being verified the medical data in determining first medical index library without mistaking Medical data accidentally is as reference data;The reference data is imported into third medical index library.
In some embodiments of the invention, aforementioned schemes are based on, verification unit 430 is configured as: based on the index Statistical rules obtains the reference data from third medical index library;Based on the pre-determined draw rule and the base Quasi- data verify the medical data in first medical index library.
In some embodiments of the invention, aforementioned schemes, the medical data processing unit 400 are based on further include: the One verification unit, for based on the medical data in the target data source to the medical data in second medical index library It is verified;First determination unit, for being verified the medical data in determining second medical index library without mistaking, really Fixed pre-determined draw rule corresponding with errorless medical data is verified;Adjustment unit, for the medical treatment errorless based on the verification The check results adjustment of the data corresponding pre-determined draw rule.
In some embodiments of the invention, aforementioned schemes, the medical treatment device 400 are based on further include: second really Order member, for determining and verifying wrong when determining that the medical data in second medical index library is wrong through verification The corresponding pre-determined draw rule of medical data;Adding unit is identified, for the identified corresponding pre-determined draw rule Add trusted identities.
In some embodiments of the invention, aforementioned schemes are based on, the pre-determined draw rule includes: that index major key repeats It is more each less than or equal to first threshold, hospital than change rate that rate is zero, same index year-on-year growth rate is more than or equal to zero, same index ring Rank association rate of going to a doctor between system is more than or equal to one of second threshold or a variety of.
In some embodiments of the invention, aforementioned schemes, the medical data processing unit 400 are based on further include: exhibition Show unit, for showing the medical number in first medical index library and second medical index library by diagrammatic form According to.
Each functional module and above-mentioned medical number due to the medical data processing unit 400 of example embodiments of the present invention According to processing method example embodiment the step of it is corresponding, therefore details are not described herein.
In an exemplary embodiment of the present invention, a kind of electronic equipment that can be realized the above method is additionally provided.
Below with reference to Fig. 5, it illustrates the computer systems 500 for the electronic equipment for being suitable for being used to realize the embodiment of the present invention Structural schematic diagram.The computer system 500 of electronic equipment shown in Fig. 5 is only an example, should not be to the embodiment of the present invention Function and use scope bring any restrictions.
As shown in figure 5, computer system 500 includes central processing unit (CPU) 501, it can be read-only according to being stored in Program in memory (ROM) 502 or be loaded into the program in random access storage device (RAM) 503 from storage section 508 and Execute various movements appropriate and processing.In RAM 503, it is also stored with various programs and data needed for system operatio.CPU 501, ROM 502 and RAM 503 is connected with each other by bus 504.Input/output (I/O) interface 505 is also connected to bus 504。
I/O interface 505 is connected to lower component: the importation 506 including keyboard, mouse etc.;It is penetrated including such as cathode The output par, c 507 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.;Storage section 508 including hard disk etc.; And the communications portion 509 of the network interface card including LAN card, modem etc..Communications portion 509 via such as because The network of spy's net executes communication process.Driver 510 is also connected to I/O interface 505 as needed.Detachable media 511, such as Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 510, in order to read from thereon Computer program be mounted into storage section 508 as needed.
Particularly, according to an embodiment of the invention, may be implemented as computer above with reference to the process of flow chart description Software program.For example, the embodiment of the present invention includes a kind of computer program product comprising be carried on computer-readable medium On computer program, which includes the program code for method shown in execution flow chart.In such reality It applies in example, which can be downloaded and installed from network by communications portion 509, and/or from detachable media 511 are mounted.When the computer program is executed by central processing unit (CPU) 501, executes and limited in the system of the application Above-mentioned function.
It should be noted that computer-readable medium shown in the present invention can be computer-readable signal media or meter Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage Device (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.In the present invention, computer readable storage medium can be it is any include or storage journey The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this In invention, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium Program code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned Any appropriate combination.
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journey The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation A part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or more Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants It is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute rule The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction It closes to realize.
Being described in unit involved in the embodiment of the present invention can be realized by way of software, can also be by hard The mode of part realizes that described unit also can be set in the processor.Wherein, the title of these units is in certain situation Under do not constitute restriction to the unit itself.
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be Included in electronic equipment described in above-described embodiment;It is also possible to individualism, and without in the supplying electronic equipment. Above-mentioned computer-readable medium carries one or more program, when the electronics is set by one for said one or multiple programs When standby execution, so that the electronic equipment realizes such as above-mentioned medical data processing method as described in the examples.
For example, the electronic equipment may be implemented as shown in Figure 2: step S210, to the medical treatment in target data source Data are analyzed, and multiple indicator-specific statistics rules are obtained;Step S220 is based on the indicator-specific statistics rule for the target data Medical data in source is drawn into the first medical index library;Step S230, based on pre-determined draw rule to first medical treatment Medical data in index storehouse is verified, wherein the pre-determined draw rule is to the doctor in first medical index library Treat the verification rule that data are verified;Step S240, through verifying the medical data determined in first medical index library When wrong, wrong medical data will be verified and be drawn into the second medical index library.
It should be noted that although being referred to several modules for acting the device executed in the above detailed description Or unit, but this division is not enforceable.In fact, embodiment according to the present invention, above-described two Or more the feature and function of module or unit can be embodied in a module or unit.Conversely, above-described One module or the feature and function of unit can be to be embodied by multiple modules or unit with further division.
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 present invention 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, touch control terminal or network equipment etc.) executes embodiment according to the present invention Method.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the present invention Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.

Claims (10)

1. a kind of medical data processing method characterized by comprising
Medical data in target data source is analyzed, multiple indicator-specific statistics rules are obtained;
The medical data in the target data source is drawn into the first medical index library based on the indicator-specific statistics rule;
The medical data in first medical index library is verified based on pre-determined draw rule, wherein the predetermined pumping The verification that rule is taken to be verified to the medical data in first medical index library is regular;
When determining that the medical data in first medical index library is wrong through verification, wrong medical data will be verified and extracted Into the second medical index library.
2. medical data processing method according to claim 1, which is characterized in that the medical data processing method is also wrapped It includes:
Through verify determine first medical index library in medical data without mistaking, will verify errorless medical data as Reference data;
The reference data is imported into third medical index library.
3. medical data processing method according to claim 2, which is characterized in that based on pre-determined draw rule to described the Medical data in one medical index library is verified, comprising:
The reference data is obtained from third medical index library based on the indicator-specific statistics rule;
The medical data in first medical index library is carried out based on the pre-determined draw rule and the reference data Verification.
4. medical data processing method according to claim 1, which is characterized in that the medical data processing method is also wrapped It includes:
The medical data in second medical index library is verified based on the medical data in the target data source;
The medical data in determining second medical index library is being verified without mistaking, determined and is verifying errorless medical data Corresponding pre-determined draw rule;
The check results adjustment corresponding pre-determined draw rule based on the errorless medical data of the verification.
5. medical data processing method according to claim 4, which is characterized in that the medical treatment method further include:
When determining that the medical data in second medical index library is wrong through verification, determines and verify wrong medical data Corresponding pre-determined draw rule;
Trusted identities are added to the identified corresponding pre-determined draw rule.
6. medical data processing method according to any one of claim 1 to 5, which is characterized in that the pre-determined draw Rule include: index major key repetitive rate be zero, same index year-on-year growth rate be more than or equal to zero, same index ring it is smaller than change rate It is more than or equal to one of second threshold or a variety of in being equal between first threshold, each system of hospital rank association rate of going to a doctor.
7. medical data processing method according to claim 6, which is characterized in that the medical data processing method is also Include:
The medical data in first medical index library and second medical index library is shown by diagrammatic form.
8. a kind of medical data processing unit characterized by comprising
Indicator-specific statistics Rule unit obtains multiple index systems for analyzing the medical data in target data source Meter rule;
First data pick-up unit, for being extracted the medical data in the target data source based on the indicator-specific statistics rule Into the first medical index library;
Verification unit, for being verified based on pre-determined draw rule to the medical data in first medical index library, In, the pre-determined draw rule is the verification rule verified to the medical data in first medical index library;
Second data pick-up unit, for inciting somebody to action when wrong through the medical data in verification determination first medical index library Wrong medical data is verified to be drawn into the second medical index library.
9. a kind of electronic equipment characterized by comprising
Processor;And
Memory is stored with computer-readable instruction on the memory, and the computer-readable instruction is held by the processor The medical data processing method as described in any one of claims 1 to 7 is realized when row.
10. a kind of computer readable storage medium, is stored thereon with computer program, the computer program is executed by processor Medical data processing method of the Shi Shixian as described in any one of claims 1 to 7.
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