CN117542470A - Method and system for realizing health education in hospital scene - Google Patents
Method and system for realizing health education in hospital scene Download PDFInfo
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- CN117542470A CN117542470A CN202311495394.8A CN202311495394A CN117542470A CN 117542470 A CN117542470 A CN 117542470A CN 202311495394 A CN202311495394 A CN 202311495394A CN 117542470 A CN117542470 A CN 117542470A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/19173—Classification techniques
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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Abstract
The application relates to a method and a system for realizing health education in a hospital scene, which belong to the technical field of medical informatization, and the method for realizing health education in the hospital scene comprises the steps of acquiring doctor order data of a patient user; analyzing the medical advice data and determining keyword information in the medical advice data; and searching matched announced contents from a pre-constructed announced content knowledge base according to the keyword information, and pushing the announced contents to a patient user. The technical scheme of this application can effectively reduce nurse's propaganda and education work load, is favorable to wholly promoting medical resource utilization efficiency.
Description
Technical Field
The application belongs to the technical field of medical informatization, and particularly relates to a method and a system for realizing health education in a hospital scene.
Background
Health propaganda and education generally refers to propaganda and education related to health, under the scene of a hospital, propaganda and education of medical advice are one of important, traditionally, after doctors give medical advice to patients, nurses manually find and arrange propaganda and education contents related to the medical advice according to the medical advice, and then conduct propaganda and education of the propaganda and education contents to specific patients in the forms of oral notification, written notification and the like; this kind of propaganda and education mode can consume nurse a lot of energy and time, can not make medical resource obtain make full use of, and in some circumstances appear the untimely condition of propaganda and education (if in the doctor's advice and education sight of operation, the condition of taking place the temporary stage of changing of operation) easily, leads to patient experience not good, influences doctor-patient relationship.
Therefore, how to reduce the workload of the nurse in order to integrally improve the utilization efficiency of medical care resources becomes a technical problem to be solved urgently in the realization of the health education of the hospital.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
In order to overcome the problems existing in the related art to at least a certain extent, the application provides a method and a system for realizing health education in a hospital scene, which solve the technical problem of how to reduce the workload of nurses in the education based on a specific electronic pushing implementation mode.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect of the present invention,
the application provides a realization method of health education in a hospital scene, which comprises the following steps:
acquiring medical order data of a patient user;
analyzing the medical advice data and determining keyword information in the medical advice data;
searching matched announced contents from a pre-constructed announced content knowledge base according to the keyword information, and pushing the announced contents to the patient user.
Optionally, the acquiring the order data of the patient user includes:
and positioning the medical advice field of the patient user from an electronic medical advice system database based on a preset pulling configuration, pulling text data in the field, and taking the text data as the medical advice data.
Optionally, the acquiring the order data of the patient user further includes:
receiving input picture data, wherein the picture data is obtained by photographing a doctor's advice of a patient user;
and identifying and extracting text information in the picture data by adopting an OCR technology to obtain corresponding text data, and taking the text data as the doctor's advice data.
Optionally, the analyzing the order data determines keyword information in the order data, specifically:
analyzing the medical advice data based on a keyword extraction algorithm in a natural language processing technology so as to determine keyword information in the medical advice data.
Optionally, the method further comprises:
receiving feedback information of the patient user on the announced content;
and forwarding the feedback information to the medical care user.
In a second aspect of the present invention,
the application provides a realization system of healthy propaganda and education in hospital scene, this realization system includes:
the acquisition module is used for acquiring medical order data of a patient user;
the analysis processing module is used for analyzing the medical advice data and determining keyword information in the medical advice data;
and the pushing processing module is used for searching matched teaching content from a pre-constructed teaching content knowledge base according to the keyword information and pushing the teaching content to the patient user.
Optionally, the acquiring module is configured to locate an order field of the patient user from an electronic order system database based on a preset pull configuration, and pull text data in the field, and take the text data as the order data.
Optionally, the acquisition module is further configured to:
receiving input picture data, wherein the picture data is obtained by photographing a doctor's advice of a patient user;
and identifying and extracting text information in the picture data by adopting an OCR technology to obtain corresponding text data, and taking the text data as the doctor's advice data.
Optionally, the parsing module is configured to parse the order data based on a keyword extraction algorithm in a natural language processing technology to determine keyword information in the order data.
Optionally, the device further comprises a feedback processing module; the feedback processing module is configured to:
receiving feedback information of the patient user on the announced content;
and forwarding the feedback information to the medical care user.
The application adopts the technical scheme, possesses following beneficial effect at least:
in the technical scheme of the application, the implementation method of health announcements in a hospital scene comprises the steps of acquiring doctor's advice data of a patient user; analyzing the medical advice data and determining keyword information in the medical advice data; and searching matched announced contents from a pre-constructed announced content knowledge base according to the keyword information, and pushing the announced contents to a patient user. Adopt this kind of electron propelling movement's mode to patient user to announce and teach the realization, compare prior art, can effectively reduce nurse's the work load of announcing, be favorable to wholly promoting medical and nursing resource utilization efficiency.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
The accompanying drawings are included to provide a further understanding of the technical aspects or prior art of the present application and constitute a part of this specification. The drawings, which are used to illustrate the technical solution of the present application, together with the embodiments of the present application, but do not limit the technical solution of the present application.
Fig. 1 is a flow chart of a method for implementing health education in a hospital scenario according to an embodiment of the present application;
fig. 2 is a schematic block diagram of a system for implementing health education in a hospital scenario according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, based on the examples herein, which are within the scope of the protection sought by those of ordinary skill in the art without undue effort, are intended to be encompassed by the present application.
As described in the background art, the health propaganda and education generally refers to propaganda and education related to health, in the scene of a hospital, the propaganda and education of an doctor is an important ring, traditionally, after a doctor issues an order to a patient, a nurse manually searches and sorts the propaganda and education content related to the order according to the order, and then announces and teaches to a specific patient in the forms of oral notification, written notification and the like; this kind of propaganda and education mode can consume nurse a lot of energy and time, can not make medical resource obtain make full use of, and in some circumstances appear the untimely condition of propaganda and education (if in the doctor's advice and education sight of operation, the condition of taking place the temporary stage of changing of operation) easily, leads to patient experience not good, influences doctor-patient relationship.
Based on this, the application proposes a method for implementing health announcement in a hospital scenario, the execution subject of the method is a software system, as shown in fig. 1, in an embodiment, the method for implementing health announcement in a hospital scenario in the application includes:
step S110, acquiring medical order data of a patient user;
specifically, in this embodiment, in step S110, obtaining the order data of the patient user includes: positioning an order field of the patient user from an electronic order system database based on a preset pulling configuration, and pulling text data in the field, wherein the text data is used as order data;
as will be readily appreciated by those skilled in the art, in a hospital setting, electronic physician order systems have been widely used with which a resident can complete the computerized processing of all medical procedures of hospitalization history, diagnosis, treatment, prescription and medical orders, course records, consultation, diversion, surgery, discharge of hospital; the medical advice data can be acquired from a database of the medical advice system based on the related interface of the existing electronic medical advice system;
with respect to the preset pulling configuration, in practice, the configuration may be performed based on scene requirements, for example, a timing period configuration is adopted to periodically perform the pulling operation; further, in practical implementation, a reasonable and shorter timing period can be set, and medical advice data can be timely acquired, so that timeliness of subsequent pushing processing is guaranteed.
As a preferred embodiment, in some cases, such as the case that there is no electronic advice system in the application scenario, or the electronic advice system is closed, etc., the advice data acquisition in this step may also be implemented in a manner that is considered to relatively reduce the amount of work required for the nurse to announce,
based on specific software configuration (such as configuring a related operation client on a smart phone, and acquiring picture data from the client by a system background), the system receives the input picture data, wherein the picture data is obtained by photographing the medical advice of the patient user (such as photographing the related medical advice pushed to a nurse station by an electronic medical advice system by a nurse through the related operation client);
the text information in the picture data is identified and extracted by adopting an OCR technology (the OCR technology belongs to the existing mature technology, and the text information is not unfolded and described here in the application), so that corresponding text data is obtained, and the text data is used as doctor's advice data.
Similarly, as a specific implementation manner, related information of the medical advice can be manually input by a related user (such as a medical care user), and based on specific software configuration (such as configuring a related operation client on a smart phone, the system background obtains input data from the client), the system receives the input corresponding text data as the medical advice data.
Continuing to return to fig. 1, step S120 is performed to parse the order data and determine keyword information in the order data, based on the order data obtained in step S110;
specifically, in step S120 in this embodiment, the order data is parsed, and keyword information in the order data is determined, which specifically includes:
the method comprises the steps of analyzing medical advice data based on a keyword extraction algorithm in a natural language processing technology to determine keyword information in the medical advice data, wherein natural language processing NLP (Natural Language Processing) belongs to branch subjects in the fields of artificial intelligence and linguistics, NLP is applied here to achieve keyword extraction of text data by a machine, keyword extraction belongs to a general technology in NLP, and related keyword extraction algorithm implementation can be realized in prior published technical materials, and detailed description of the application is omitted here.
Step S130 is then performed, wherein matched announced contents are searched from a pre-constructed announced content knowledge base according to the keyword information determined in step S120, and the announced contents are pushed to a patient user;
in this step, a wiki framework may be adopted as the actual knowledge base of the declarative content, and the knowledge base may be constructed in advance according to the declarative content required in the scene (e.g. content filling in combination with the relevant operation manual and actual care experience); the implementation of searching for the matching can adopt the existing related retrieval technical means, for example, the first three knowledge base contents with higher matching degree are used as the announced contents; in the implementation process, a short message pushing mode can be adopted, and system registration can be performed in advance by a patient user (himself or herself, nurse relatives and the like) based on a WeChat applet mode, which belong to the prior known technology and are not repeated herein.
Further, as a preferred embodiment, to ensure the effect of the announcement, after the actual implementation of the pushing, based on a specific configuration, the patient user may also feed back the announcement content, for example, in the applet pushing implementation, the feedback operation prompt content may be added in the pushing message, and when the user has a question about the announcement content, the user may be guided to perform triggering of the relevant feedback instruction (for example, input "needs help"), and accordingly, the system executing method in the present application further includes receiving the feedback information of the patient user about the announcement content, forwarding the feedback information to the medical care user, and further, the relevant medical care personnel may perform a corresponding response based on the feedback information, for example, supplement the announcement to the patient user.
In the method, based on specific configuration, the ventilating and teaching of the patient user is realized in an electronic pushing mode, compared with the prior art, the ventilating and teaching workload of nurses can be effectively reduced, and the utilization efficiency of medical care resources is improved integrally; compared with a manual mode, the system can ensure the promptness of the education, reduce the occurrence of related problems caused by timeliness reasons and is beneficial to maintaining good doctor-patient relationship.
Fig. 2 is a schematic block diagram of a system for implementing health education in a hospital scenario according to an embodiment of the present application, as shown in fig. 2, where the system 200 for implementing health education in a hospital scenario includes:
an acquisition module 201, configured to acquire order data of a patient user;
the analysis processing module 202 is configured to analyze the medical order data and determine keyword information in the medical order data;
and the pushing processing module 203 is configured to search matched announced contents from a pre-constructed announced content knowledge base according to the keyword information, and push the announced contents to the patient user.
As a specific embodiment, the obtaining module 201 is configured to locate the order field of the patient user from the electronic order system database based on the preset pull configuration, and pull the text data in the field, and take the text data as the order data.
As a specific embodiment, the acquisition module 201 is further configured to:
receiving input picture data, wherein the picture data is obtained by photographing the medical advice of the patient user;
and identifying and extracting text information in the picture data by adopting an OCR technology to obtain corresponding text data, and taking the text data as the doctor's advice data.
As a specific embodiment, the parsing module is configured to parse the order data based on a keyword extraction algorithm in a natural language processing technology to determine keyword information in the order data.
As a specific embodiment, the feedback processing module 204 is further included; the feedback processing module 204 is configured to: receiving feedback information of a patient user on the announced content; and forwarding the feedback information to the medical care user.
The specific manner in which the various modules perform the operations of the implementing system 200 for health instruction in the hospital scenario in the above-described related embodiments has been described in detail in the embodiments related to the method, and will not be described in detail herein.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (10)
1. The implementation method of the health ventilating and teaching in the hospital scene is characterized by comprising the following steps:
acquiring medical order data of a patient user;
analyzing the medical advice data and determining keyword information in the medical advice data;
searching matched announced contents from a pre-constructed announced content knowledge base according to the keyword information, and pushing the announced contents to the patient user.
2. The method of claim 1, wherein the obtaining the order data of the patient user comprises:
and positioning the medical advice field of the patient user from an electronic medical advice system database based on a preset pulling configuration, pulling text data in the field, and taking the text data as the medical advice data.
3. The implementation method according to claim 2, wherein the acquiring the order data of the patient user further includes:
receiving input picture data, wherein the picture data is obtained by photographing a doctor's advice of a patient user;
and identifying and extracting text information in the picture data by adopting an OCR technology to obtain corresponding text data, and taking the text data as the doctor's advice data.
4. The implementation method according to claim 2 or 3, wherein the analyzing the order data determines keyword information in the order data, specifically:
analyzing the medical advice data based on a keyword extraction algorithm in a natural language processing technology so as to determine keyword information in the medical advice data.
5. The implementation method according to claim 1, further comprising:
receiving feedback information of the patient user on the announced content;
and forwarding the feedback information to the medical care user.
6. A system for implementing health announcements in a hospital setting, comprising:
the acquisition module is used for acquiring medical order data of a patient user;
the analysis processing module is used for analyzing the medical advice data and determining keyword information in the medical advice data;
and the pushing processing module is used for searching matched teaching content from a pre-constructed teaching content knowledge base according to the keyword information and pushing the teaching content to the patient user.
7. The implementation system of claim 6, wherein,
the acquisition module is configured to locate an order field of the patient user from an electronic order system database based on a preset pull configuration, and pull text data in the field, and take the text data as the order data.
8. The implementation system of claim 6, wherein the acquisition module is further configured to:
receiving input picture data, wherein the picture data is obtained by photographing a doctor's advice of a patient user;
and identifying and extracting text information in the picture data by adopting an OCR technology to obtain corresponding text data, and taking the text data as the doctor's advice data.
9. The implementation system according to claim 7 or 8, characterized in that,
the parsing module is configured to parse the order data based on a keyword extraction algorithm in a natural language processing technique to determine keyword information in the order data.
10. The implementation system of claim 6, further comprising a feedback processing module; the feedback processing module is configured to:
receiving feedback information of the patient user on the announced content;
and forwarding the feedback information to the medical care user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311495394.8A CN117542470A (en) | 2023-11-10 | 2023-11-10 | Method and system for realizing health education in hospital scene |
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| CN202311495394.8A CN117542470A (en) | 2023-11-10 | 2023-11-10 | Method and system for realizing health education in hospital scene |
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| CN117542470A true CN117542470A (en) | 2024-02-09 |
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| CN202311495394.8A Pending CN117542470A (en) | 2023-11-10 | 2023-11-10 | Method and system for realizing health education in hospital scene |
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