CN110739036A - clinical path analysis application data retrieval method - Google Patents
clinical path analysis application data retrieval method Download PDFInfo
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- CN110739036A CN110739036A CN201910953954.7A CN201910953954A CN110739036A CN 110739036 A CN110739036 A CN 110739036A CN 201910953954 A CN201910953954 A CN 201910953954A CN 110739036 A CN110739036 A CN 110739036A
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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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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention discloses an clinical path analysis application data retrieval method which comprises the steps of S1, detecting an electronic medical record system database according to different conditions, screening case data meeting set conditions and grouping the case data, wherein the case data comprise or more of patient information, patient hospitalization information, medical advice information and vital sign information, and S2, extracting the patient information and medical advice information in the S1 electronic medical record system as indexes.
Description
Technical Field
The invention relates to the technical field of hospital information systems, in particular to an clinical path analysis application data retrieval method.
Background
The hospital system, the hospitalization system, the electronic medical record system and the like store a large amount of data, and the data are efficiently displayed by operating and processing at a user end, so that the clinical diagnosis level is improved, and the medical experience and the hospital process management efficiency are improved.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides clinical path analysis application data retrieval methods, simplifies the interaction process of exchanging and sharing with the original medical information system in the path execution process, simplifies the data retrieval process, improves the adaptability to different medical environments, improves the program operation efficiency, improves the efficiency and the accuracy of retrieving business operation data, improves the user experience, and greatly facilitates the use convenience of different people.
The purpose of the invention is realized by the following technical scheme:
A method for retrieving data for clinical pathway analysis application, comprising:
s1, detecting the electronic medical record system database according to different conditions, and screening and grouping case data meeting set conditions, wherein the case data comprises or more of patient information, hospitalization information of patients, medical advice information and vital sign information;
s2, extracting the patient information and the medical advice information in the electronic medical record system in the step S1 as indexes;
s3, selecting index categories, wherein the index categories comprise any or more of medical record indexes, treatment indexes, diagnosis indexes and curative effect indexes, extracting information of the selected index categories and calculating the information under the selected index categories;
s4, classifying the case types based on the index classification in the step S3, and judging whether the case of the corresponding type has already established a path; and creating paths for the cases without the created paths, analyzing the case data of all the created paths, and generating a data chart to be displayed on the terminal display device.
, step S1 includes a search guidance step, in which the following steps are included:
s11, screening , searching out cases which accord with the designated discharge diagnosis name from the hospital information management server according to the discharge name of the case;
s12, second screening, screening out the order information of the corresponding patient in the step S11.
Further , in step S1, a database interface is included, and the database interface is connected with the registration system, the drug library system and the radiation information management system respectively.
Step , in step S2, an electronic case client is included that includes an order entry module.
, in step S3, a physiological sign management module is included for managing patient physiological sign data.
, in step S4, a user rights management module is included for managing the doctor' S prescription medication use rights.
The invention has the beneficial effects that:
(1) the invention simplifies the interaction process of exchanging and sharing with the original medical information system in the path execution process, simplifies the data retrieval process, improves the adaptability to different medical environments and improves the program operation efficiency; the efficiency and the accuracy of retrieving the business operation data are improved, the user experience is improved, and the convenience of use of different people is greatly facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of the steps of the present invention.
Detailed Description
All of the features disclosed in this specification, or all of the steps of any method or process so disclosed, may be combined in any combination, except features and/or steps that are mutually exclusive.
Any of the features disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise, i.e. each feature is simply examples of a series of equivalent or similar features, unless expressly stated otherwise.
Specific embodiments of the present invention will be described in detail below, and it should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention. In other instances, well-known circuits, software, or methods have not been described in detail so as not to obscure the present invention.
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only partial embodiments of of the present invention, rather than all embodiments.
Before describing the embodiments, are necessary terms to be interpreted.
If it appears in this application that the terms "," "second," etc. are used to describe various elements, but these elements should not be limited by these terms.
The various terms appearing in this application are used for the purpose of describing particular embodiments only and are not intended as limitations of the invention, with the singular being intended to include the plural unless the context clearly dictates otherwise.
When the terms "comprises" and/or "comprising" are used in this specification, these terms are intended to specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence and/or addition of or more other features, integers, steps, operations, elements, components, and/or groups thereof.
As shown in fig. 1, clinical pathway analysis application data retrieval methods include:
s1, detecting the electronic medical record system database according to different conditions, and screening and grouping case data meeting set conditions, wherein the case data comprises or more of patient information, hospitalization information of patients, medical advice information and vital sign information;
s2, extracting the patient information and the medical advice information in the electronic medical record system in the step S1 as indexes;
s3, selecting index categories, wherein the index categories comprise any or more of medical record indexes, treatment indexes, diagnosis indexes and curative effect indexes, extracting information of the selected index categories and calculating the information under the selected index categories;
s4, classifying the case types based on the index classification in the step S3, and judging whether the case of the corresponding type has already established a path; and creating paths for the cases without the created paths, analyzing the case data of all the created paths, and generating a data chart to be displayed on the terminal display device.
, step S1 includes a search guidance step, in which the following steps are included:
s11, screening , searching out cases which accord with the designated discharge diagnosis name from the hospital information management server according to the discharge name of the case;
s12, second screening, screening out the order information of the corresponding patient in the step S11.
Further , in step S1, a database interface is included, and the database interface is connected with the registration system, the drug library system and the radiation information management system respectively.
Step , in step S2, an electronic case client is included that includes an order entry module.
, in step S3, a physiological sign management module is included for managing patient physiological sign data.
, in step S4, a user rights management module is included for managing the doctor' S prescription medication use rights.
Example
As shown in fig. 1, clinical pathway analysis application data retrieval methods include:
s1, detecting the electronic medical record system database according to different conditions, and screening case data meeting set conditions for grouping, wherein the case data comprises or more of patient information, hospitalization information of patients, medical advice information and vital sign information of diseases;
s2, extracting the patient information and the medical advice information in the electronic medical record system in the step S1 as indexes;
s3, selecting index types including any or more of medical record indexes, treatment indexes, diagnosis indexes and curative effect indexes, extracting information of the selected index types and calculating the information under the selected index types;
s4, classifying the case types based on the index classification in the step S3, and judging whether the case of the corresponding type has already established a path; and creating paths for the cases without the created paths, analyzing the case data of all the created paths, and generating a data chart to be displayed on the terminal display device.
In other technical features of the embodiment, those skilled in the art can flexibly select and use the features according to actual situations to meet different specific actual requirements. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention. In other instances, well-known algorithms, methods or systems have not been described in detail so as not to obscure the present invention, and are within the scope of the present invention as defined by the claims.
For the sake of simplicity, the aforementioned method embodiments are described as series combinations of actions, but those skilled in the art should understand that the present application is not limited by the described order of actions, as some steps may be performed in other orders or simultaneously according to the present application.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
For example, the above-described device embodiments are merely illustrative, and for example, the division of the units may be merely logical functional divisions, and other divisions may be possible in practice, for example, multiple units or components may be combined or integrated into another systems, or features may be omitted or not performed, another point, the shown or discussed coupling or direct coupling or communication connection between each other may be said to be through interfaces, and the indirect coupling or communication connection of the devices or units may be electrical, mechanical or other forms.
The units described by the discrete components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, may be located in places, or may also be distributed on multiple network units.
Based on the understanding that the technical solution of the present invention, in essence or a part contributing to the prior art, or a part of the technical solution, can be embodied in the form of a software product, which is stored in storage media and includes several instructions for causing computer devices (which may be personal computers, servers, or network devices, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention, the aforementioned storage media include various media capable of storing program codes, such as usb disks, mobile hard disks, Read-Only memories (ROMs), Random Access memories (Random Access memories), magnetic disks, or optical disks.
It will be understood by those skilled in the art that all or part of the processes in the methods for implementing the embodiments described above can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when executed, the program can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a ROM, a RAM, etc.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (6)
1, A method for searching clinical pathway analysis application data, comprising:
s1, detecting the electronic medical record system database according to different conditions, and screening and grouping case data meeting set conditions, wherein the case data comprises or more of patient information, hospitalization information of patients, medical advice information and vital sign information;
s2, extracting the patient information and the medical advice information in the electronic medical record system in the step S1 as indexes;
s3, selecting index categories, wherein the index categories comprise any or more of medical record indexes, treatment indexes, diagnosis indexes and curative effect indexes, extracting information of the selected index categories and calculating the information under the selected index categories;
s4, classifying the case types based on the index classification in the step S3, and judging whether the case of the corresponding type has already established a path; and creating paths for the cases without the created paths, analyzing the case data of all the created paths, and generating a data chart to be displayed on the terminal display device.
2. The clinical pathway analysis application data retrieval method of claim 1, wherein in step S1, there is included a retrieval guidance step, in which there are included the following sub-steps:
s11, screening , searching out cases which accord with the designated discharge diagnosis name from the hospital information management server according to the discharge name of the case;
s12, second screening, screening out the order information of the corresponding patient in the step S11.
3. The clinical pathway analysis application data retrieval method of claim 1, wherein in step S1, includes database interfaces respectively connected with a registration system, a drug library system and a radiation information management system.
4. The clinical pathway analysis application data retrieval method of claim 3, wherein in step S2, including an electronic case client, said electronic case client includes an order entry module.
5. The clinical pathway analysis application data retrieval method of claim 4, comprising a physiological signs management module for managing patient physiological signs data in step S3.
6. The clinical pathway analysis application data retrieval method of claim 4, wherein in step S4, a user rights management module is included, said user rights management module is used for managing the doctor' S prescription drug usage rights.
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| CN201910953954.7A CN110739036A (en) | 2019-10-09 | 2019-10-09 | clinical path analysis application data retrieval method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111524569A (en) * | 2020-04-24 | 2020-08-11 | 常州昊泽信息科技有限公司 | Electronic medical record diagnosis and maintenance system |
| CN111739594A (en) * | 2020-04-09 | 2020-10-02 | 卫宁健康科技集团股份有限公司 | Method and system for acquiring clinical scientific research data |
| CN111785395A (en) * | 2020-05-08 | 2020-10-16 | 四川大学华西第二医院 | Monitoring method, system, equipment and storage medium for clinical application of antibacterial drugs |
| CN116913532A (en) * | 2023-09-12 | 2023-10-20 | 四川互慧软件有限公司 | Clinical path recommendation method |
-
2019
- 2019-10-09 CN CN201910953954.7A patent/CN110739036A/en active Pending
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111739594A (en) * | 2020-04-09 | 2020-10-02 | 卫宁健康科技集团股份有限公司 | Method and system for acquiring clinical scientific research data |
| CN111739594B (en) * | 2020-04-09 | 2021-06-04 | 卫宁健康科技集团股份有限公司 | Method and system for acquiring clinical scientific research data |
| CN111524569A (en) * | 2020-04-24 | 2020-08-11 | 常州昊泽信息科技有限公司 | Electronic medical record diagnosis and maintenance system |
| CN111785395A (en) * | 2020-05-08 | 2020-10-16 | 四川大学华西第二医院 | Monitoring method, system, equipment and storage medium for clinical application of antibacterial drugs |
| CN111785395B (en) * | 2020-05-08 | 2022-09-09 | 四川大学华西第二医院 | Monitoring method, system, equipment and storage medium for clinical application of antibacterial drugs |
| CN116913532A (en) * | 2023-09-12 | 2023-10-20 | 四川互慧软件有限公司 | Clinical path recommendation method |
| CN116913532B (en) * | 2023-09-12 | 2023-12-08 | 四川互慧软件有限公司 | Clinical path recommendation method |
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