CN112768092A - Medical follow-up method and follow-up system - Google Patents
Medical follow-up method and follow-up system Download PDFInfo
- Publication number
- CN112768092A CN112768092A CN202110112758.4A CN202110112758A CN112768092A CN 112768092 A CN112768092 A CN 112768092A CN 202110112758 A CN202110112758 A CN 202110112758A CN 112768092 A CN112768092 A CN 112768092A
- Authority
- CN
- China
- Prior art keywords
- follow
- medical
- patient
- information
- task
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000003745 diagnosis Methods 0.000 claims abstract description 10
- 238000007619 statistical method Methods 0.000 claims abstract description 9
- 238000011084 recovery Methods 0.000 claims description 10
- 201000010099 disease Diseases 0.000 claims description 8
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 238000011835 investigation Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
Images
Classifications
-
- 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
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Biomedical Technology (AREA)
- Game Theory and Decision Science (AREA)
- Pathology (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention relates to the field of medical management platforms, in particular to a medical follow-up method and a follow-up system; the medical follow-up method specifically comprises the following steps: acquiring medical information and medical resource information of a patient; associating the two files to form an association file; establishing a follow-up task according to the associated file, and generating a follow-up template; selecting a corresponding follow-up mode according to a preset follow-up rule, carrying out follow-up by combining a follow-up template, and obtaining a follow-up result; performing statistical analysis on the follow-up results to serve as performance assessment reference data; according to the invention, a set of specific follow-up tasks is created for the patient association file aiming at the patient association file, the diagnosis and treatment effect of the patient and the satisfaction degree of medical resources are tracked and obtained in a full-period manner, so that the full-period attention of the patient is realized, the participation degree and the satisfaction degree of the patient are effectively improved, the follow-up result is taken as the reference data of performance assessment, the association between the follow-up result and subsequent medical services is realized, and the follow-up value and the medical service level are effectively improved.
Description
Technical Field
The invention relates to the field of medical management platforms, in particular to a medical follow-up method and a follow-up system.
Background
Medical institutions often follow-up after a patient visit to investigate the satisfaction of the patient's visit. Patients are only providers of information in the survey and thus participation will generally be less than desirable. For the medical institution, the follow-up result is usually only filed as the information of the current treatment, and the follow-up medical service of the relevant party is not really guided, so the work is mostly in the form.
Patient involvement is low, and valuable information is difficult for medical institutions to obtain; and a few information is disconnected with subsequent medical services, so that the follow-up work cannot exert the value of the follow-up work, and the medical service level cannot be improved.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a medical follow-up system aiming at solving the above-mentioned defects in the prior art, and aiming at solving the problem that the medical service level cannot be improved because the value of the existing medical follow-up work cannot be normally exerted.
The technical scheme adopted by the invention for solving the technical problems is as follows: the medical follow-up method is characterized in that a follow-up rule is preset, and the medical follow-up method specifically comprises the following steps:
acquiring medical information and corresponding medical resource information of each patient in a medical system;
associating medical information of a patient with medical resource information corresponding to the patient to form an association file based on the patient;
establishing a follow-up task according to the associated file of the patient, and automatically generating a follow-up template for investigating the satisfaction degree of the medical resource and the recovery condition of the patient;
selecting a corresponding follow-up mode according to a preset follow-up rule, carrying out follow-up by combining a follow-up template, and obtaining a follow-up result;
and carrying out statistical analysis on the follow-up results to serve as reference data for performance assessment.
Wherein, a better proposal is that a scoring rule is preset, and the medical follow-up method also comprises the following steps:
and intelligently scoring the follow-up result according to a scoring rule.
Preferably, a rating rule corresponding to the rating rule is preset, and the medical follow-up method further includes the following steps:
and intelligently grading the corresponding medical resources according to the grading rule and by combining the grading of the follow-up result.
Preferably, the medical follow-up method further comprises the following steps:
and setting a plurality of nodes for the corresponding follow-up task according to the associated file of the patient, and tracking and marking the completion degree of each node.
Wherein, the preferred scheme is as follows: the follow-up mode comprises a voice call mode, a platform communication mode and a visiting follow-up mode.
Wherein, the preferred scheme is as follows: the follow-up tasks comprise a conventional follow-up task for the follow-up of common outpatients, a continuous follow-up task for the follow-up of inpatients and a customized follow-up task, and the customized follow-up task can be specifically customized according to specific disease categories, patients or medical resource information.
Wherein, the preferred scheme is as follows: the follow-up template comprises one or more of a satisfaction survey module for surveying medical resource satisfaction, an efficacy survey module for surveying patient recovery, and a recommendation module.
Wherein, the preferred scheme is as follows: the patient medical information comprises disease information and diagnosis and treatment records of patients
In order to solve the problems in the prior art, the present invention further provides a medical follow-up system, and a preferred scheme of the medical follow-up system is that the medical follow-up system is used for implementing the medical follow-up method, and the medical follow-up method includes:
the acquisition unit is used for acquiring medical information of a patient and corresponding medical resource information;
the information association unit is used for associating the medical information of the patient with the corresponding medical resource information to form an association file;
the follow-up task creating unit is used for creating a follow-up task and automatically generating a follow-up template;
the follow-up visit unit is used for intelligently selecting a corresponding follow-up visit mode according to the follow-up visit template to carry out follow-up visit and acquiring a follow-up visit result;
and the data statistical unit is used for carrying out statistical analysis on the follow-up results and carrying out intelligent scoring.
Wherein, the preferred scheme is as follows: the medical follow-up system also comprises a voice conversion unit which is used for converting the voice content in the voice communication mode into text information in real time.
Compared with the prior art, the medical follow-up method and the follow-up system have the advantages that a set of specific follow-up plan is created for the medical information and the associated files of the patient through the design of the medical follow-up method and the follow-up system, the diagnosis and treatment effects of the patient and the satisfaction degree of medical resources are tracked and obtained in the whole period, the whole period attention of the patient is realized, the participation degree of medical staff and the patient is effectively improved, the satisfaction degree of the patient is also effectively improved, furthermore, the follow-up result is used as reference data for performance assessment, the follow-up result is associated with subsequent medical services, and the follow-up value and the medical service level are effectively improved.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a first flow chart of a medical follow-up procedure in accordance with the present invention;
FIG. 2 is a second flow chart of a medical follow-up procedure in accordance with the present invention;
FIG. 3 is a flow chart III of a medical follow-up procedure in accordance with the present invention;
FIG. 4 is a first schematic structural diagram of a medical follow-up system according to the present invention;
fig. 5 is a schematic structural diagram of a medical follow-up system in the invention.
Detailed Description
The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
As shown in fig. 1-3, the present invention provides a preferred embodiment of a medical follow-up method.
A medical follow-up method, referring to fig. 1, a follow-up rule is preset, and the medical follow-up method specifically includes the following steps:
s1, acquiring medical information and corresponding medical resource information of each patient in the medical system;
s2, associating the medical information of the patient with the corresponding medical resource information to form an association file based on the patient;
s3, establishing a follow-up task according to the associated file of the patient, and automatically generating a follow-up template for investigating medical resource satisfaction and patient recovery conditions;
s4, selecting a corresponding follow-up mode according to a preset follow-up rule, carrying out follow-up by combining a follow-up template, and obtaining a follow-up result;
and S5, performing statistical analysis on the follow-up results to serve as reference data of performance assessment.
The medical information of the patient comprises disease information and diagnosis and treatment records of the patient, and the medical resource information comprises medical staff information corresponding to the patient in the diagnosis and treatment process.
Specifically, the patient disease is associated with the corresponding main doctor, and the diagnosis and treatment content of the patient in each diagnosis and treatment stage is associated with the corresponding responsible medical staff, so that an associated file is formed; furthermore, a follow-up task is created according to the associated file of the patient, a follow-up template is automatically generated, namely, a set of complete follow-up flow and follow-up content is created for the patient according to the associated file of the patient, the patient is subjected to regular follow-up according to the set of follow-up flow and follow-up content until the patient is completely cured or died, and after each follow-up is completed, a follow-up result is timely obtained and subjected to statistical analysis, so that an optimization basis is provided for subsequent follow-up or subsequent treatment.
The follow-up visit mode comprises a voice call mode, a platform communication mode and a visiting visit mode.
Specifically, the voice call mode can contact the patient and carry out follow-up visit through the active telephone of the relevant medical staff, the platform communication mode can be used for setting follow-up visit short messages and sending the follow-up visit messages to the corresponding patient regularly, or can be used for contacting the patient and carrying out follow-up visit through information platforms such as WeChat and the like, and the visiting follow-up visit mode can be used for the relevant medical staff to visit the place where the patient resides; the follow-up telephone system has the advantages that professional opinions can be provided for patients through the independent telephone follow-up of medical staff, the enthusiasm of the medical staff can be improved, and in order to guarantee the authenticity of follow-up, the follow-up contents can be recorded in real time through voice recognition or stored through recording.
Wherein the follow-up template comprises one or more of a satisfaction survey module for surveying medical resource satisfaction, an efficacy survey module for surveying patient recovery, and a recommendation module.
Specifically, the satisfaction survey module is used for surveying the satisfaction of the patient on the corresponding medical resource, and can be set as a satisfaction survey questionnaire, perform multidimensional satisfaction survey on the medical resource, such as the service attitude, the professional level or the handling efficiency of the medical staff, and divide the satisfaction result into very satisfactory, generally satisfactory, unsatisfactory, very unsatisfactory, and the like; the curative effect investigation module is used for investigating the recovery condition of the patient, and can acquire the physical condition of the patient at each stage during diagnosis and treatment so as to judge the recovery condition of the patient; the suggestion module is used for the patient to propose dissatisfaction or suggestions to the whole medical system or medical resources corresponding to the whole medical system, and can also set some problems which can provide help for subsequent treatment of the patient according to specific conditions so as to master the actual condition of the patient, and take follow-up results as main guidance suggestions in the subsequent treatment of the patient so as to improve the overall medical level.
The follow-up tasks comprise a conventional follow-up task for the follow-up of common outpatients, a continuous follow-up task for the follow-up of inpatients and a customized follow-up task, and the customized follow-up task can be specifically customized according to specific disease categories, patients or medical resource information.
Specifically, because different patients need different directions of important attention and different degrees of attention needed by different degrees of illness, it is very critical to select corresponding follow-up tasks according to the actual conditions of the patients, which can effectively improve the participation degree of the patients on one hand and the mastery degree of the hospitals on the actual conditions of the patients on the other hand, so as to provide guidance for the subsequent treatment; moreover, the existing follow-up visit is very formalized, the follow-up visit result is only filed as the information of the current treatment, which not only does not really guide the subsequent medical service of the relevant party, but also does not establish the connection between the follow-up visit result and the medical staff, and the follow-up visit result can not be implemented in the actual work of the medical staff no matter whether the follow-up visit result is good or bad, and does not promote the medical service level, so in the embodiment, the medical information of the patient is associated with the corresponding medical staff and the department to form an associated file, the follow-up visit task is created according to the associated file, which can carry out satisfaction investigation and statistics on the specific medical staff and department, also can customize the follow-up visit task for the self condition of the patient, and can also make an applicable follow-up visit task for the self specificity of the disease to improve the accuracy and the follow-up visit value, the investigation result can be used as an examination item of the medical staff and the department subsequently to improve the medical service level of the medical staff and the department, and further improve the overall medical service level of the hospital.
The follow-up rule is that a default follow-up mode is appointed for the diagnosis and treatment type of a patient, the type of a corresponding medical staff and the type of a department corresponding to the medical staff, and after the follow-up rule is formulated, when the system acquires an associated file of the patient and creates a follow-up task, the system can automatically select the corresponding default follow-up mode for the patient according to the follow-up rule.
Further, and referring to fig. 2, a scoring rule and a rating rule corresponding to the scoring rule are preset, and the medical follow-up method further includes the following steps:
s6, intelligently scoring the follow-up result according to the scoring rule;
and S7, intelligently rating the corresponding medical resources according to the rating rule and by combining the scores of the follow-up results.
Specifically, different scores can be set according to different patient satisfaction degrees and recovery degrees, and the patient satisfaction degrees and recovery degrees reflected in follow-up results are evaluated as corresponding scores, further, different grades are correspondingly set for the different scores, the higher the score is, the intelligent rating is performed on corresponding main physicians, departments or other medical staff according to the score of the follow-up results, and the rating can be used as a partial performance assessment standard.
By associating the follow-up result with the performance assessment, the service consciousness of medical staff is effectively improved, and the follow-up value and the medical service level are further effectively improved.
Further, and with reference to fig. 3, the medical follow-up method further comprises the steps of:
s31, setting a plurality of nodes for the follow-up task corresponding to the patient according to the associated file of the patient, and tracking and marking the completion degree of each node.
Specifically, the follow-up task needs to carry out periodic follow-up for a patient for multiple times, a task node is arranged for each periodic follow-up in the whole follow-up task, and the completion degree of each node is tracked and marked, so that the tracking degree and the mastery degree of the completion condition of the follow-up task can be enhanced.
The follow-up task or the follow-up questionnaire can be automatically sent to the patient for follow-up through the system, or the follow-up task or the follow-up questionnaire can be automatically sent to the patient for follow-up through the active telephone call of related personnel, or the follow-up visit of related personnel can be performed.
The present invention also provides a preferred embodiment of a medical follow-up system, as shown in fig. 4-5.
A medical follow-up system, referring to fig. 4, the medical follow-up system is used for implementing the medical follow-up method, and includes:
the system comprises an acquisition unit 1, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring medical information of a patient and corresponding medical resource information;
the information association unit 2 is used for associating the medical information of the patient with the corresponding medical resource information to form an association file;
the follow-up task creating unit 3 is used for creating a follow-up task and automatically generating a follow-up template;
the follow-up visit unit 4 is used for intelligently selecting a corresponding follow-up visit mode according to the follow-up visit template to carry out follow-up visit and acquiring a follow-up visit result;
and the data statistical unit 5 is used for carrying out statistical analysis on follow-up results and carrying out intelligent scoring.
Specifically, the information association unit is connected with the acquisition unit to acquire medical information of a patient and corresponding medical resource information, the follow-up task creation unit is connected with the information association unit to acquire an associated file of the patient, the follow-up task creation unit comprises a plan creation module for creating a follow-up task and a template generation module for generating a follow-up template, the plan creation module is mainly used for creating a whole set of follow-up procedure task plan, the template generation module is mainly used for generating a corresponding follow-up template for each follow-up task plan, the follow-up unit is connected with the follow-up task creation unit to acquire a follow-up task and intelligently select a corresponding follow-up mode for follow-up and acquire a follow-up result, the data statistics unit is connected with the follow-up unit to acquire a follow-up result and perform statistical analysis on the follow-up result, providing an optimized basis for subsequent medical services.
Further, and referring to fig. 5, the medical follow-up system further includes a voice conversion unit 6 for converting the voice contents in the voice call mode into text information in real time.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the scope of the present invention, but rather as embodying the invention in a wide variety of equivalent variations and modifications within the scope of the appended claims.
Claims (10)
1. A medical follow-up visit method is characterized in that a follow-up visit rule is preset, and the medical follow-up visit method specifically comprises the following steps:
acquiring medical information and corresponding medical resource information of each patient in a medical system;
associating medical information of a patient with medical resource information corresponding to the patient to form an association file based on the patient;
establishing a follow-up task according to the associated file of the patient, and automatically generating a follow-up template for investigating the satisfaction degree of the medical resource and the recovery condition of the patient;
selecting a corresponding follow-up mode according to a preset follow-up rule, carrying out follow-up by combining a follow-up template, and obtaining a follow-up result;
and carrying out statistical analysis on the follow-up results to serve as reference data for performance assessment.
2. The medical follow-up method according to claim 1, wherein a scoring rule is preset, the medical follow-up method further comprising the steps of:
and intelligently scoring the follow-up result according to a scoring rule.
3. The medical follow-up method according to claim 2, wherein a rating rule corresponding to the rating rule is preset, the medical follow-up method further comprising the steps of:
and intelligently grading the corresponding medical resources according to the grading rule and by combining the grading of the follow-up result.
4. The medical follow-up method according to claim 1, further comprising the steps of:
and setting a plurality of nodes for the corresponding follow-up task according to the associated file of the patient, and tracking and marking the completion degree of each node.
5. The medical follow-up method according to claim 1, wherein: the follow-up mode comprises a voice call mode, a platform communication mode and a visiting follow-up mode.
6. The medical follow-up method according to claim 1, wherein: the follow-up tasks comprise a conventional follow-up task for the follow-up of common outpatients, a continuous follow-up task for the follow-up of inpatients and a customized follow-up task, and the customized follow-up task can be specifically customized according to specific disease categories, patients or medical resource information.
7. The medical follow-up method according to claim 1, wherein: the follow-up template comprises one or more of a satisfaction survey module for surveying medical resource satisfaction, an efficacy survey module for surveying patient recovery, and a recommendation module.
8. The medical follow-up method according to claim 1, wherein: the patient medical information comprises disease information and diagnosis and treatment records of the patient.
9. A medical follow-up system for carrying out a medical follow-up method according to any one of claims 1 to 8, comprising:
the acquisition unit is used for acquiring medical information of a patient and corresponding medical resource information;
the information association unit is used for associating the medical information of the patient with the corresponding medical resource information to form an association file;
the follow-up task creating unit is used for creating a follow-up task and automatically generating a follow-up template;
the follow-up visit unit is used for intelligently selecting a corresponding follow-up visit mode according to the follow-up visit template to carry out follow-up visit and acquiring a follow-up visit result;
and the data statistical unit is used for carrying out statistical analysis on the follow-up results and carrying out intelligent scoring.
10. The medical follow-up system according to claim 9, wherein: the medical follow-up system also comprises a voice conversion unit which is used for converting the voice content in the voice communication mode into text information in real time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110112758.4A CN112768092A (en) | 2021-01-27 | 2021-01-27 | Medical follow-up method and follow-up system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110112758.4A CN112768092A (en) | 2021-01-27 | 2021-01-27 | Medical follow-up method and follow-up system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112768092A true CN112768092A (en) | 2021-05-07 |
Family
ID=75706224
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110112758.4A Withdrawn CN112768092A (en) | 2021-01-27 | 2021-01-27 | Medical follow-up method and follow-up system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112768092A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107436988A (en) * | 2016-05-26 | 2017-12-05 | 上海蝶科软件有限公司 | A kind of implementation method of hospital's Supervise |
| KR101847193B1 (en) * | 2017-11-22 | 2018-05-28 | 주식회사 세마그룹 | A System Providing Patient Experience Evaluation Service for Hospital |
| CN109740848A (en) * | 2018-11-30 | 2019-05-10 | 平安医疗健康管理股份有限公司 | Geronto-therapeutics effect wire examination method, device, equipment and storage medium |
| CN110265096A (en) * | 2019-05-24 | 2019-09-20 | 中国人民解放军陆军军医大学第一附属医院 | A kind of hospital's follow-up system and follow-up method |
-
2021
- 2021-01-27 CN CN202110112758.4A patent/CN112768092A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107436988A (en) * | 2016-05-26 | 2017-12-05 | 上海蝶科软件有限公司 | A kind of implementation method of hospital's Supervise |
| KR101847193B1 (en) * | 2017-11-22 | 2018-05-28 | 주식회사 세마그룹 | A System Providing Patient Experience Evaluation Service for Hospital |
| CN109740848A (en) * | 2018-11-30 | 2019-05-10 | 平安医疗健康管理股份有限公司 | Geronto-therapeutics effect wire examination method, device, equipment and storage medium |
| CN110265096A (en) * | 2019-05-24 | 2019-09-20 | 中国人民解放军陆军军医大学第一附属医院 | A kind of hospital's follow-up system and follow-up method |
Non-Patent Citations (2)
| Title |
|---|
| 李永平;: "医院云随访系统平台的研究", 中国医疗设备, no. 12, pages 1 * |
| 柯艳;王忠庆;: "个性化临床科研随访闭环管理", 中国医疗设备, no. 06 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Murray | Relation between private health insurance and high rates of caesarean section in Chile: qualitative and quantitative study | |
| CN112164460B (en) | Intelligent disease auxiliary diagnosis system based on medical knowledge graph | |
| Krause | Church-based social support and health in old age: Exploring variations by race | |
| US6315569B1 (en) | Metaphor elicitation technique with physiological function monitoring | |
| Yang et al. | Examining the pre-adoption stages of healthcare IT: A case study of vital signs monitoring systems | |
| Tong et al. | The road to early success: impact of system use in the swift response phase | |
| CN116028603B (en) | Intelligent pre-consultation method, device and system based on big data, and storage medium | |
| CN114187988A (en) | Data processing method, device, system and storage medium | |
| CN109559830A (en) | Smart Verify consulting system and its implementation based on Medicine standard problem base | |
| Aase et al. | Implementation of a standardized template for reporting of incidental pulmonary nodules: feasibility, acceptability, and outcomes | |
| CN109841285B (en) | Clinical research collaboration system and method | |
| US20110301966A1 (en) | Real-time synchronous semantic processing in electronic documentation | |
| CN109524108A (en) | A kind of method for building up and device of inquiry model | |
| US20190180851A1 (en) | System and method for predicting non-adherence risk based on socio-economic determinates of health | |
| Katz et al. | Retention of Native American nurses working in their communities | |
| CN117370525A (en) | Intelligent diagnosis guiding method based on fine tuning large model | |
| CN112768092A (en) | Medical follow-up method and follow-up system | |
| CN113448566B (en) | Form logic configuration method and device | |
| Alajmi et al. | Knowledge management (KM) practices-a study of KM adoption among doctors in Kuwait | |
| CN115394431A (en) | Intelligent medical service system | |
| Curtis | Evaluation of community health assessment in Kansas | |
| Montgomery et al. | Using item response theory to develop a shortened practice environment scale of the nursing work index | |
| Schuurman et al. | alt. metadata. health: Ontological Context for Data Use and Integration | |
| CN112562813A (en) | Intelligent generation method and system of electronic medical record for emergency call | |
| Graham | GPs and voluntary organizations |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210507 |
|
| WW01 | Invention patent application withdrawn after publication |