CN105205314A - EMR (electronic medical record) information sharing system and method crossing medical institutions - Google Patents
EMR (electronic medical record) information sharing system and method crossing medical institutions Download PDFInfo
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Abstract
The invention relates to an EMR (electronic medical record) information sharing system and method crossing medical institutions, and solves the problems that EMR data models differ in thousands of ways and conversion of data modules in sharing systems is complex to operate and time-consuming in the prior art. The system comprises a data service intermediate side and multiple user sides, wherein the data service intermediate side comprises multiple service interface modules, a matching module and a conversion module and is connected with all the user sides respectively through the service interface modules, the service interface modules are connected onto the matching module respectively, and the matching module is connected with the conversion module. The mapping relation between data models and the data service intermediate side is established and the data models are converted into object data models through the data service intermediate side. All that is required for data conversion among the user sides is to establish corresponding matching between the user sides and the data service intermediate side and work once instead of separately working on each database data model, and the problem of repeated development is solved.
Description
Technical field
The present invention relates to a kind of electronic health record technical field, especially to relate in a kind of shared procedure data model translation simply, fast across medical institutions' electronic health record information sharing system and method.
Background technology
Electronic health record preserves with electronic equipment, manage, transmits, reappears digitized patient medical record, for replacing hand-written paper case history.His content comprises the information of all paper case histories.
Current electronic health record comprises a few class below usually:
Homepage, progress note, inspection assay, doctor's advice, operation record, NN etc.
In recent years, aging population degree is aggravated, and the continuous increase of people's health care consciousness and chronic care demand, requires that medical and health services more economically, efficiently.Because China's health resource distributed pole is unbalanced, by infotech, government and medical and health organization need ensure that medical services cover more crowd.Electronic health record is that health care institution brings all many-sided benefits, comprising: clear and definite dicision of diagnosis and treatment, specification diagnosis and treatment form, reduce costs improve effects etc.And the embodiment of many benefits, accreditation just can reach the maximization of interests to need electronic health record can identify mutually between zones of different, and namely electronic health record information needs to carry out sharing between different medical mechanism.
The Chinese government also to put into effect some technical standards shared about electronic health record and specification carrys out the propelling that tutorial message shares matters in recent years accordingly.Its standard and specification is to a great extent with reference to the CDA standard that foreign standard organizes HL7 to issue.
Because this standard criterion issuing time domestic is still short, comparatively lack corresponding proven technique and software, thus constrain many facilities that information sharing brings.
The Main Bottleneck of the more difficult commercialization of electronic health record information sharing be each electronic health record software provide manufacturer its based on bottom data model vary, difference is very large.This is because each manufacturer is understood the process of electronic health record medical document have difference, different understanding, set object and table model will difference huge, thus result in increasing of the technical difficulty of electronic health record information sharing.And the electronic health record standardized software main thought of routine be by database model conversion through code conversion to object model, and direct and CDA model carries out Corresponding matching by inner model.And there are some shortcomings in this mode:
1. the electronic health record standardized software main thought of routine changes through code conversion database model to object model, and by inner model directly and CDA model carry out Corresponding matching, this method needs to carry out one action separately for each database model, overlapping development, is difficult to copy.
2. routine techniques each client when applying measures greatly, has a large amount of code development engineerings, causes that the implementation cycle is long, delivery difficulty large, pay content causes the problems such as instability owing to not possessing basic methods opinion.
3. owing to not possessing visual allotment mechanism, cause any more new capital in implementation process to need code to adjust, exploitation participates in, and does not form certain maintenance, implementation system, causes implementation cost high and be difficult to expansion copying.
Summary of the invention
The present invention mainly solves electronic health record data model existence in prior art and varies, in shared system there is complicated operation, problem consuming time in data model translation, to provide in a kind of shared procedure data model translation simply, fast across medical institutions' electronic health record information sharing system.
To present invention also offers in a kind of shared procedure data model translation simply, fast across medical institutions' electronic health record information sharing method.
Above-mentioned technical matters of the present invention is mainly solved by following technical proposals: a kind of across medical institutions' electronic health record information sharing system, include data, services intermediate ends and multiple user side, data, services intermediate ends includes multiple service interface module, matching module and modular converter, data, services intermediate ends is connected with each user side respectively by service interface module, service interface module is connected respectively on matching module, and matching module is connected with modular converter;
User side: comprise medical record information, different user end is preserved medical record information with respective data model respectively; User side is different, and the data model that their storage of medical records data adopt is also different.Data model index data base data model, different software provides manufacturer to there are differences at setting data model.The data model of service data intermediate ends is a kind of normal data model, as CDA model.
Matching module: preserve each user side data model and the every mapping relation information of data, services intermediate ends data model, according to request, corresponding mapping relation information is transferred to the data model that will share;
Modular converter: according to mapping relation information, changes mutually to user side data model and data, services intermediate ends data model.A certain data model is become another kind of data model by conversion.Mapping relations then designate the corresponding relation of concrete field in another data model corresponding of concrete field in a data model, make accurately to change.
The present invention passes through data, services intermediate ends by data model translation to object data model, user side only need set up Corresponding matching with data, services intermediate ends, only carry out one action, just data conversion between each user side can be realized, adopt than ever mutually and be directly transformed into object data model, without the need to working independently to each data base data model, avoid the problem of overlapping development.
A kind of across medical institutions' electronic health record information sharing method, adopt system in power 1, comprise the following steps:
S1. set up mapping relations by between the data model of user side and the data model of data, services intermediate ends, and store;
S2. source user end holds initiation sharing request by data, services intermediate ends to targeted customer, and source user end sends the source data model comprising shared information to data, services intermediate ends; When a user side initiates sharing request, this user side is called source user end, and its data model is corresponding is called source data model.And the data model correspondence of data, services intermediate ends is called intermediate data model.And the user side sharing target is called that targeted customer holds, its data model is corresponding is called target data model.Be convenient to distinguish and describe each user side and each user side data model.
S3. each element in ergodic source data model, transfers the mapping relation information corresponding with each element according to sharing request, and coupling mapping relations complete the conversion of source data model to the intermediate data model of data, services intermediate ends;
S4. travel through each element in each intermediate data model, transfer the mapping relation information corresponding with each element according to sharing request, coupling mapping relations complete intermediate data module holds target data model conversion to targeted customer.In step S3 and S4, mapping relations coupling completes in matching unit, and the conversion of data model is then carried out in converting unit.
S5., after completing conversion, targeted customer is sent to hold the target data model that conversion generates.
The present invention passes through data, services intermediate ends by source data model conversion to target data model, user side only need set up Corresponding matching with data, services intermediate ends, only carry out one action, just data model translation between each user side can be realized, adopt the direct converting into target data model of source data model than ever mutually, without the need to working independently to each data base data model, avoid the problem of fully exploitation.
As a kind of preferred version, setting up mapping relations process in described step S1 is: according to the structure of data, services intermediate ends data module, and each field corresponding under each user side data model is set up mapping relations with each field under data, services intermediate ends data model respectively.Between different user end, data model exists different, and each user side data model is all set up mapping relations with data, services intermediate ends data model by the present invention.And to set up mapping relations be matched the position of the position of the information in a kind of data model of the structure information corresponding with the data model of another kind of structure, be convenient to follow-up conversion operations.
Set up mapping relations adopt visual, can interfaceization operation data-mapping matching tool, operator just can complete source by pulling mode and mate to the mapping of destination end, mapping matching process in automatic code generating.
As a kind of preferred version, source user end holds initiation sharing request by data, services intermediate ends to targeted customer, data, services intermediate ends is according to the instruction of sharing request T.G Grammar, conversion instruction comprises the instruction of source user end data model to data, services intermediate ends data model translation, and data, services intermediate ends data model is to the instruction of targeted customer's end data model conversion.
As a kind of preferred version, in step S3, source data model comprises to the transfer process of intermediate data model:
S31. each element in ergodic source data model, transfers each element by the mapping relation information of source data model to intermediate data model;
S32. the field in each element is traveled through, the mapping relations that coupling is corresponding;
S33. adopt the ChangeType method of Convert that source data model conversion is become intermediate data model.The class that Convert class is inherited and come from system-based conversion class, for changing, and ChangeType is main conversion method wherein, and the internal main of this conversion will call various system transfer function, there is no and relate to relevant innovation, is only the encapsulation of common mathematical function.
As a kind of preferred version, in step S4, intermediate data model comprises to the transfer process of target data model:
S41. travel through each element in intermediate data model, transfer each element by the mapping relation information of intermediate data model to target data model;
S42. the field in each element is traveled through, the mapping relations that coupling is corresponding;
S43. the ChangeType method of Convert is adopted to convert intermediate data model to target data model.
As a kind of preferred version, if arbitrary operation occurs abnormal in step S3 or step S4, then return step S2.Occur that abnormal conditions return and re-start operation.
Therefore, advantage of the present invention is: by data, services intermediate ends by data model translation to object data model, user side only need set up Corresponding matching with data, services intermediate ends, only carry out one action, just data conversion between each user side can be realized, adopting than ever mutually and be directly transformed into object data model, without the need to working independently to each data base data model, avoiding the problem of overlapping development.
Accompanying drawing explanation
Accompanying drawing 1 is a kind of structural frames diagram of the present invention;
Accompanying drawing 2 is a kind of schematic flow sheets of the inventive method.
1-user side 2-data, services intermediate ends 3-service interface module 4-matching module 5-modular converter.
Embodiment
Below by embodiment, and by reference to the accompanying drawings, technical scheme of the present invention is described in further detail.
Embodiment:
The present embodiment is a kind of across medical institutions' electronic health record information sharing system, as shown in Figure 1, include data, services intermediate ends 2 and multiple user side 1, data, services intermediate ends includes multiple service interface module 3, matching module 4 and modular converter 5, data, services intermediate ends is connected with each user side respectively by service interface module, service interface module is connected respectively on matching module, and matching module is connected with modular converter;
Data, services intermediate ends: have standard set data model, as adopted CDA model.The data model translation of user side is become data, services interlude data model, or data, services interlude data model translation is become user side data model;
User side: comprise medical record information, different user end is preserved medical record information with respective data model respectively;
Matching module: preserve each user side data model and the every mapping relation information of data, services intermediate ends data model, according to request, corresponding mapping relation information is transferred to the data model that will share;
Modular converter: according to mapping relation information, changes mutually to user side data model and data, services intermediate ends data model.
A kind of across medical institutions' electronic health record information sharing method, comprise the following steps:
S1. set up mapping relations by between the data model of user side and the data model of data, services intermediate ends, and store.Wherein setting up mapping relations process is: according to the structure of data, services intermediate ends data module, and each field corresponding under each user side data model is set up mapping relations with each field under data, services intermediate ends data model respectively.
S2. source user end holds initiation sharing request by data, services intermediate ends to targeted customer, data, services intermediate ends is according to the instruction of sharing request T.G Grammar, conversion instruction comprises the instruction of source user end data model to data, services intermediate ends data model translation, and data, services intermediate ends data model is to the instruction of targeted customer's end data model conversion.Then source user end sends the source data model comprising shared information to data, services intermediate ends;
S3. each element in ergodic source data model, according to sharing request, first be according to the instruction of source user end data model to data, services intermediate ends data model translation, then transfer the mapping relation information that source data model is corresponding with each element of intermediate data model, coupling mapping relations, complete the conversion of source data model to the intermediate data model of data, services intermediate ends;
Transfer process comprises:
S31. each element in ergodic source data model, transfers each element by the mapping relation information of source data model to intermediate data model;
S32. the field in each element is traveled through, the mapping relations that coupling is corresponding;
S33. adopt the ChangeType method of Convert that source data model conversion is become intermediate data model.
S4. each element in each intermediate data model is traveled through, according to sharing request, here be according to the instruction of data, services intermediate ends data model to targeted customer's end data model conversion, transfer the mapping relation information that intermediate data model is corresponding with each element of target data model, coupling mapping relations, complete intermediate data module holds target data model conversion to targeted customer.
Transfer process comprises:
S41. travel through each element in intermediate data model, transfer each element by the mapping relation information of intermediate data model to target data model;
S42. the field in each element is traveled through, the mapping relations that coupling is corresponding;
S43. the ChangeType method of Convert is adopted to convert intermediate data model to target data model.
S5., after completing conversion, targeted customer is sent to hold the target data model that conversion generates.
In step S3 or step S4, arbitrary operation occurs abnormal in addition, then return step S2.
Exemplify a user side 1 to be below described by the example of data, services intermediate ends to the shared application of user side 2 initiation.
Suppose that user side 1 electronic health record data model is A, user side 2 electronic health record data model is B, and data, services intermediate ends is inner is CDA model formulation electronic health record data model T.
Tentation data model A comprises following element:
Past medical history A
Disease time A
Disease name A
Present illness history A
Allergies A
Data model B comprises following element:
Past medical history B
Disease time B
Disease name B
Present illness history B
Allergies B
And data, services intermediate ends data model T comprises following element:
Past medical history T
Disease time T
Disease name T
Present illness history T
Allergies T
Here just Partial Elements is illustrated to data model.Disease time, disease time are the field under element past medical history.Because the data model of each user side is also different, as to past medical history name may not be directly use past medical history word, may name with other letters, here use past medical history A representative data model A to the name of past medical history respectively, past medical history B representative data Model B is to the name of past medical history, past medical history T representative data model T is to the name of past medical history, and other by that analogy.
Data model A, data model B are set up mapping relations respectively at data model T by step S1..Below illustrate that data model A and data model T sets up mapping relations, is set up the element that element in data model A is corresponding with data model T respectively by data-mapping matching tool and maps, as past medical history A and past medical history T sets up mapping relations.Comprise field under element, field also sets up mapping relations.According to so operating, data model B is also set up mapping relations with data model T.Then these mapping relation information are stored in data, services intermediate ends.
Step S2. user side 1 initiates to share application request to user side 2 by data, services intermediate ends.According to the instruction of request T.G Grammar, comprise two processes, data model A to data model T changes, and data model T is to the conversion of data model B.Then user side 1 sends data to data, services intermediate ends, and the data model A of data acquisition user side 1 preserves, and comprises shared information in data model A, supposes that the data model A comprising shared information is as follows:
Past medical history A
Disease time A:2013-01-10
Disease name A: asthma/coding T1001
Present illness history A
Allergies A
Step S3. data, services intermediate ends travels through the data model A sended over, find that there is three element: past medical history A, present illness history A, allergies A, so transfer the information of the mapping relations of past medical history A to past medical history T, the mapping relations of present illness history A to present illness history T, the mapping relations of allergies A to allergies T.
Travel through field under each element again, case history past medical history A, finds that there is
Disease time A:2013-01-10
Disease name A: asthma/coding T1001
According to traversal situation, mapping relations are mated.Continue traversal present illness history A, allergies A, coupling mapping relations simultaneously.
According to mapping relations, the ChangeType method of Convert is adopted to convert data model A to data model T.Obtain as follows:
Past medical history T
Disease time T:2013-01-10;
Disease name T: asthma/coding T1001;
Present illness history T
Allergies T.
Step S4. carries out the conversion of data model T to data model B, and its process is similar to step S3.
Traversal sends out a data model T, finds that there is three element: past medical history T, present illness history T, allergies T, so transfer the information of the mapping relations of past medical history T to past medical history B, the mapping relations of present illness history T to present illness history B, the mapping relations of allergies T to allergies B.
Travel through field under each element again, case history past medical history T, finds that there is
Disease time T:2013-01-10
Disease name T: asthma/coding T1001
According to traversal situation, mapping relations are mated.Continue traversal present illness history T, allergies T, coupling mapping relations simultaneously.
According to mapping relations, the ChangeType method of Convert is adopted to convert data model T to data model B.Obtain as follows:
Past medical history B
Disease time B:2013-01-10;
Disease name B: asthma/coding T1001;
Present illness history B
Allergies B.
So far, complete all conversion operations, turn back to the superiors' caller.
Specific embodiment described herein is only to the explanation for example of the present invention's spirit.Those skilled in the art can make various amendment or supplement or adopt similar mode to substitute to described specific embodiment, but can't depart from spirit of the present invention or surmount the scope that appended claims defines.
Although more employ the terms such as user side, data, services intermediate ends, service interface module, matching module, modular converter herein, do not get rid of the possibility using other term.These terms are used to be only used to describe and explain essence of the present invention more easily; The restriction that they are construed to any one additional is all contrary with spirit of the present invention.
Claims (7)
1. one kind across medical institutions' electronic health record information sharing system, it is characterized in that: include data, services intermediate ends (2) and multiple user side (1), data, services intermediate ends includes multiple service interface module (3), matching module (4) and modular converter (5), data, services intermediate ends is connected with each user side respectively by service interface module, service interface module is connected respectively on matching module, and matching module is connected with modular converter;
User side: comprise medical record information, different user end is preserved medical record information with respective data model respectively;
Matching module: preserve each user side data model and the every mapping relation information of data, services intermediate ends data model, according to request, corresponding mapping relation information is transferred to the data model that will share;
Modular converter: according to mapping relation information, changes mutually to user side data model and data, services intermediate ends data model.
2., across medical institutions' electronic health record information sharing method, adopt system in power 1, it is characterized in that: comprise the following steps:
S1. set up mapping relations by between the data model of user side and the data model of data, services intermediate ends, and store;
S2. source user end holds initiation sharing request by data, services intermediate ends to targeted customer, and source user end sends the source data model comprising shared information to data, services intermediate ends;
S3. each element in ergodic source data model, transfers the mapping relation information corresponding with each element according to sharing request, and coupling mapping relations complete the conversion of source data model to the intermediate data model of data, services intermediate ends;
S4. travel through each element in each intermediate data model, transfer the mapping relation information corresponding with each element according to sharing request, coupling mapping relations complete intermediate data module holds target data model conversion to targeted customer;
S5., after completing conversion, targeted customer is sent to hold the target data model that conversion generates.
3. one according to claim 2 is across medical institutions' electronic health record information sharing method, it is characterized in that setting up mapping relations process in described step S1 is: according to the structure of data, services intermediate ends data module, each field corresponding under each user side data model is set up mapping relations with each field under data, services intermediate ends data model respectively.
4. one according to claim 2 is across medical institutions' electronic health record information sharing method, it is characterized in that source user end holds initiation sharing request by data, services intermediate ends to targeted customer, data, services intermediate ends is according to the instruction of sharing request T.G Grammar, conversion instruction comprises the instruction of source user end data model to data, services intermediate ends data model translation, and data, services intermediate ends data model is to the instruction of targeted customer's end data model conversion.
5. one according to claim 2 is across medical institutions' electronic health record information sharing method, it is characterized in that source data model in step S3 comprises to the transfer process of intermediate data model:
S31. each element in ergodic source data model, transfers each element by the mapping relation information of source data model to intermediate data model;
S32. the field in each element is traveled through, the mapping relations that coupling is corresponding;
S33. adopt the ChangeType method of Convert that source data model conversion is become intermediate data model.
6. one according to claim 2 is across medical institutions' electronic health record information sharing method, it is characterized in that intermediate data model in step S4 comprises to the transfer process of target data model:
S41. travel through each element in intermediate data model, transfer each element by the mapping relation information of intermediate data model to target data model;
S42. the field in each element is traveled through, the mapping relations that coupling is corresponding;
S43. the ChangeType method of Convert is adopted to convert intermediate data model to target data model.
7. the one according to any one of claim 2-6 is across medical institutions' electronic health record information sharing method, if it is characterized in that, in step S3 or step S4, arbitrary operation occurs abnormal, then return step S2.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106845119A (en) * | 2017-01-25 | 2017-06-13 | 济南德健信息技术有限公司 | A kind of electronic health record shared document robotics system and method |
| CN110795487A (en) * | 2019-11-04 | 2020-02-14 | 浪潮通用软件有限公司 | Service publishing method |
| CN111899886A (en) * | 2020-06-28 | 2020-11-06 | 万达信息股份有限公司 | Medical record retrieval method and system |
| CN113380351A (en) * | 2021-06-10 | 2021-09-10 | 山东健康医疗大数据有限公司 | Method and system for realizing health medical data sharing and opening based on FHIR |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090080408A1 (en) * | 2007-09-20 | 2009-03-26 | Intel Corporation | Healthcare semantic interoperability platform |
| CN102054032A (en) * | 2010-12-22 | 2011-05-11 | 广州市慧通计算机有限公司 | Medical data information processing method and system |
| CN102495895A (en) * | 2011-12-12 | 2012-06-13 | 浙江浙大中控信息技术有限公司 | Method, device and system for unification of heterogeneous data source |
| CN104361221A (en) * | 2014-10-31 | 2015-02-18 | 沈阳锐易特软件技术有限公司 | Heterogeneous system data mapping template-based medical data acquisition system and method |
-
2015
- 2015-09-08 CN CN201510566192.7A patent/CN105205314A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090080408A1 (en) * | 2007-09-20 | 2009-03-26 | Intel Corporation | Healthcare semantic interoperability platform |
| CN102054032A (en) * | 2010-12-22 | 2011-05-11 | 广州市慧通计算机有限公司 | Medical data information processing method and system |
| CN102495895A (en) * | 2011-12-12 | 2012-06-13 | 浙江浙大中控信息技术有限公司 | Method, device and system for unification of heterogeneous data source |
| CN104361221A (en) * | 2014-10-31 | 2015-02-18 | 沈阳锐易特软件技术有限公司 | Heterogeneous system data mapping template-based medical data acquisition system and method |
Non-Patent Citations (4)
| Title |
|---|
| SHEN1830: "wpf的dataGrid 怎么遍历他的所有单元格，如果包含某个字就改变背景色，https://zhidao.baidu.com/question/366385650.html", 《百度知道》 * |
| WL2LW: "遍历类的所有属性和根据属性名动态设置属性值，https://www.cnblogs.com/love2wllw/archive/2010/01/28/1658719.html", 《博客园》 * |
| XIASHENGWANG: "《CLR via C#》笔记——运行时序列化（2），https://www.cnblogs.com/xiashengwang/archive/2012/07/18/2598123.html", 《博客园》 * |
| 匿名: "c# DataTable与不同结构实体类转换的方法实例，http://www.jb51.net/article/43342.htm", 《脚本之家》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106845119A (en) * | 2017-01-25 | 2017-06-13 | 济南德健信息技术有限公司 | A kind of electronic health record shared document robotics system and method |
| CN110795487A (en) * | 2019-11-04 | 2020-02-14 | 浪潮通用软件有限公司 | Service publishing method |
| CN111899886A (en) * | 2020-06-28 | 2020-11-06 | 万达信息股份有限公司 | Medical record retrieval method and system |
| CN113380351A (en) * | 2021-06-10 | 2021-09-10 | 山东健康医疗大数据有限公司 | Method and system for realizing health medical data sharing and opening based on FHIR |
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Application publication date: 20151230 |