CN113223652A - Patient-oriented medical examination report inquiry and automatic intelligent analysis system - Google Patents
Patient-oriented medical examination report inquiry and automatic intelligent analysis system Download PDFInfo
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Abstract
The invention discloses a patient-oriented medical examination report inquiry and automatic intelligent analysis system, which comprises a user authority module, a report generation module, a report inquiry module, a report intelligent interpretation analysis module, a report printing module, an intelligent pushing module and an Aliskiu number increasing data platform, wherein the system adopts a front-end and back-end separation and distribution type cluster design, can transfer data intelligent flow to a designated module by combining with a big data platform, has clear logic and simplified deployment of each module, simultaneously enables a patient to inquire the report information of an examination report of the patient or a family on the platform at any end, improves the convenience of the patient, simultaneously enables the inquiry ways of the patient to be more diverse, enables the patient to better know the report information according to the needs, and can support the report related to all clinics by inquiring through the platform without being limited to the clinics, making the scope of the query broader.
Description
Technical Field
The invention relates to the technical field of clinical examination, in particular to a patient-oriented medical examination report inquiry and automatic intelligent analysis system.
Background
With the development of society, hospitals are gradually promoted towards the development direction of informatization and intellectualization, and patients treated in hospitals and clinics can make medical examination report forms according to examination information of the patients generally at hospital ends, and with the rapid development of current laboratory technologies, the examination means and the experimental methods are continuously improved, so that more and more examination items can be provided for clinics in laboratories, and clinicians need to perform a large amount of clinical medical activities every day, so that the examination conditions can be conveniently known through the medical examination report forms, and the clinical significance of the examination items can be conveniently mastered;
the report form information quantity of the hospital-patient end examination is huge, and the number of the patients is large relatively, so that the patients can become very inconvenient when inquiring the medical examination report form, and meanwhile, the existing hospitals do not have the function of analyzing and reading the medical examination report form, so that the patients are easy to have the situation that the medical examination report form cannot be deeply understood after inquiring the corresponding medical examination report form, and further, much inconvenience is brought to the patients, and the development of hospital business and the treatment experience of the patients are influenced.
Disclosure of Invention
The invention provides a patient-oriented medical examination report inquiring and automatic intelligent analyzing system, which can effectively solve the problems that the report information quantity of the examination at the doctor-patient end is huge, and the number of patients is relatively large, so that the patients are very inconvenient to inquire the medical examination report, and the existing hospitals do not have the functions of analyzing and reading the medical examination report, so that the patients are easy to have the situation that the medical examination report cannot be deeply understood after inquiring the corresponding medical examination report, and further the patients are inconvenient to bring much influence on the development of hospital business and the patient experience of seeing a doctor.
In order to achieve the purpose, the invention provides the following technical scheme: a patient-oriented medical examination report inquiry and automatic intelligent analysis system comprises a user authority module, a report generation module, a report inquiry module, a report intelligent interpretation and analysis module, a report printing module, an intelligent pushing module and an Aliskiu number increasing data platform;
the user permission module is designed independently, and the report generation module, the report query module, the report intelligent interpretation analysis module, the report printing module, the intelligent pushing module and the Aliskiu number increasing data platform are designed and arranged in the same container independently, so that millisecond-level starting and expanding are realized, the operating efficiency of a system platform is improved, the Aliskiu number increasing data platform of the large data center platform is used for carrying out intelligent ETL cleaning on the report, and the cleaned report data is provided for services such as report query, report interpretation analysis, report printing, report intelligent pushing and the like.
According to the technical scheme, the user authority module is mainly responsible for management of user authority, the service is independently designed and operates under a container to support calling of any end, wherein any end comprises a public number, an applet and an App for inquiry, a user can register identity according to any port of the public number, the applet, the App and the like in a user information registering mode, an application manager can establish corresponding roles according to the identity information registered by the user and allocate authority of each service object, access authority of a user page and an available application menu to different roles according to needs.
According to the technical scheme, the report generation module is mainly responsible for generation of the medical examination report and is divided into two acquisition modes, wherein one acquisition mode is active acquisition and the other acquisition mode is passive acquisition;
the active acquisition refers to configuring API provided by a corresponding laboratory according to a system, the barcode generating service can acquire report data of the laboratory at regular time, and the passive acquisition refers to providing API correspondingly supporting protocols such as TCP, SOAP and HTTP and the like for the report generating service to call the laboratory;
and the two acquisition modes store the generated report bar code, report bar code details and report file into a database and an OSS distributed file.
According to the technical scheme, the report query module is mainly responsible for intelligent query of medical inspection reports, intelligent ETL cleaning is carried out on data through the Aliskiu number increasing data platform in combination with dimensionalities of users, laboratories, report bar codes, report bar code details and the like, all dimensionality data are loaded to a database after extraction and cleaning conversion, scattered, disordered and non-uniform medical inspection reports generated by the report generation module are integrated, and meanwhile, the data of the reports, the report bar codes, the report bar code details and the like are pushed to the report data center.
According to the technical scheme, after the data such as the report, the report bar code and the report bar code details are pushed to the data center, the report is further refined and classified, and specifically, the report information of the data center is correspondingly refined and separately stored according to the categories of laboratories, orders, bar codes, names, sexes and time;
the laboratory refers to a clinic which generates a medical examination report form and corresponding examination laboratory information, the order refers to payment order information paid by a user during medical examination, the bar code refers to a report bar code of the medical examination report and detailed information of the report bar code, the name refers to information of a user registration account and real name information during medical examination, the gender refers to the gender of the user during registration account information, and the time refers to examination time information during medical examination and generation time information of the medical examination report form;
when the data center provides report query service according to a user request, the report is intelligently queried more quickly and accurately according to dimension information classified by laboratories, orders, bar codes, names, sexes, time and the like.
According to the technical scheme, the patient can inquire the examination report of the patient or the family through any client such as the public number, the applet and the App, and all clinic-related reports can be supported through the platform without being limited to a certain clinic.
According to the technical scheme, the report intelligent interpretation analysis module is mainly responsible for intelligently interpreting the medical inspection report, intelligently ETL cleaning is carried out on data through the Aliskiu number increasing data platform in combination with dimensional information such as age, gender and current report interpretation of a user and report examination items, and intelligent analysis interpretation of each examination item in the report is provided by the service in combination with the big data platform;
the user can intelligently interpret his own examination report through the personal center at any end of our public number, applet, App, etc.
According to the technical scheme, the report printing module is mainly responsible for printing services of medical examination report forms and report information, the services support the combination of reports, the combination refers to the combination of medical examination reports of the current period and medical examination reports of the current period of a user, and the report information of the user is combined and typeset through time series, so that the examination reports printed each time are the latest report.
According to the technical scheme, the intelligent pushing module is used for pushing the queried query report to a client sending a request by a user correspondingly according to laboratory, order, bar code, name, gender and time information of the report after the data center queries the report according to the request of the user, and specifically, after the user requests the query report information, the data center intelligently pushes the corresponding report query information to a public number, a small program and an App end of the user according to report dimension information, so that the report information is pushed quickly.
According to the technical scheme, the data cleaning system is mainly used for cleaning data such as report query and interpretation and cleaning the data to a report data center through a MaxCommuter calculation engine in combination with data such as bar codes, bar code details, laboratories and users in reports.
Compared with the prior art, the invention has the beneficial effects that:
the system can transfer data intelligent flow to a designated module by combining a big data platform through a front-end and back-end separation and distributed cluster design, each module has clear logic and simplified deployment, and meanwhile, a patient can inquire the report information of an inspection report of the patient or a family on the platform at any end, so that the convenience of the patient is improved, and meanwhile, the inquiry ways of the patient are more diverse, so that the patient can better know the report information according to needs, and the inquiry is carried out through the platform, so that the report related to all clinics can be supported, the system is not limited to a certain clinic, and the inquiry range is wider;
after the data such as the report, the report bar code details and the like are pushed to the data center, the report information is further classified in a refining mode, the report bar code and the report bar code details can be stored in a better classified mode according to the classification of the refining analysis, and therefore when the data center provides report query service according to a user request, the report can be positioned more quickly and accurately according to the classified dimension information, the user can acquire the report information more quickly and accurately when querying the report information, the query efficiency of the system is improved, and the hysteresis generated in the follow-up intelligent pushing process of the report information is avoided.
When the data center queries the report according to the user request, the report information requested to be queried by the user can be rapidly and intelligently pushed to the user according to the report dimension information according to the laboratory, the order, the bar code, the name, the gender and the time information of the report, and the user can receive the report query information through free ends such as the public number, the applet, the App and the like, so that the rapid and accurate pushing of the report information is realized, the process from the request of the user to the pushing of the report result is more continuous and rapid, and the diagnosis and treatment experience of the user is further facilitated to be improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
FIG. 1 is a block diagram of the system architecture of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example (b): as shown in fig. 1, the present invention provides a technical solution, which is a patient-oriented medical examination report form query and automatic intelligent analysis system, including a user authority module, a report generation module, a report query module, a report intelligent interpretation analysis module, a report printing module, an intelligent push module, and an arrhizus number increasing data platform;
the user permission module is designed independently, and the report generation module, the report query module, the report intelligent interpretation analysis module, the report printing module, the intelligent pushing module and the Aliskiu number increasing data platform are designed and arranged in the same container independently, so that millisecond-level starting and expansion are realized, and the operating efficiency of a system platform is improved.
Based on the technical scheme, the user authority module is mainly responsible for management of user authority, the service is independently designed, operates under a container and supports calling of any end, wherein any end comprises a public number, an applet and an App for inquiry, a user can register identity through registering user information according to any port of the public number, the applet, the App and the like, an application manager can establish corresponding roles according to the identity information registered by the user and allocate the authority of each service object, the access authority of a user page and an available application menu to different roles according to needs.
Based on the technical scheme, the report generation module is mainly responsible for generating the medical examination report and is divided into two acquisition modes, wherein one acquisition mode is active acquisition and the other acquisition mode is passive acquisition;
the active acquisition refers to configuring API provided by a corresponding laboratory according to a system, the barcode generating service can acquire report data of the laboratory at regular time, and the passive acquisition refers to providing API correspondingly supporting protocols such as TCP, SOAP and HTTP and the like for the report generating service to call the laboratory;
and the two acquisition modes store the generated report bar code, report bar code details and report file into a database and an OSS distributed file.
Based on the technical scheme, the report query module is mainly responsible for intelligent query of medical inspection reports, intelligent ETL cleaning is carried out on data through the Aliskiu number increasing data platform in combination with dimensionalities of users, laboratories, report bar codes, report bar code details and the like, all dimensionality data are loaded to a database after extraction and cleaning conversion, scattered, disordered and standard non-uniform medical inspection reports generated by the report generation module are integrated, and meanwhile, the data of the reports, the report bar codes, the report bar code details and the like are pushed to the report data center.
Based on the technical scheme, after the data such as the report, the report bar code details and the like are pushed to the data center, the report is further refined and classified, and specifically, the report information of the data center is correspondingly refined and separately stored according to the categories of laboratories, orders, bar codes, names, sexes and time;
the laboratory refers to a clinic which generates a medical examination report and corresponding examination laboratory information, the order refers to payment order information paid by a user during medical examination, the bar code refers to a report bar code of the medical examination report and detail information of the report bar code, the name refers to information of a user registration account and real name information during medical examination, the gender refers to the gender of the user during registration account information, and the time refers to examination time information during medical examination and generation time information of the medical examination report;
when the data center provides report query service according to a user request, the report is intelligently queried more quickly and accurately according to dimension information classified by laboratories, orders, bar codes, names, sexes, time and the like.
Based on the technical scheme, the patient can inquire the examination report of the patient or the family through any client such as public numbers, applets and apps, and the platform can support all clinic-related report without being limited to a certain clinic.
Based on the technical scheme, the report intelligent interpretation analysis module is mainly responsible for intelligently interpreting the medical inspection report, intelligently ETL cleaning is carried out on data through the Aliskiu number increasing data platform in combination with dimensional information such as age, gender and current report interpretation of a user and report examination items, and intelligent analysis interpretation of each examination item in the report is provided by the service in combination with the big data platform;
the user can intelligently interpret his own examination report through the personal center at any end of our public number, applet, App, etc.
Based on the technical scheme, the report printing module is mainly responsible for printing services of medical examination report sheets and report information, the services support the combination of reports, the combination refers to the combination of medical examination reports of the current period and medical examination reports of the previous period of the user, and the report information of the user is combined and typeset through time series, so that the examination reports printed each time are the latest report.
Based on the technical scheme, the intelligent pushing module is used for pushing the queried query report to a client sending a request by a user correspondingly according to laboratory, order, bar code, name, gender and time information of the report after the data center queries the report according to the request of the user, and specifically, after the user requests the query report information, the data center intelligently pushes the corresponding report query information to a public number, a small program and an App end of the user according to report dimension information, so that the report information is pushed quickly.
Based on the technical scheme, the data cleaning of inquiry, reading and the like of the reports is mainly carried out by the data platform for increasing the number of the Aliskies, and the data cleaning is carried out on the reports to a report data center through the MaxCommputer calculation engine in combination with the bar codes, bar code details, laboratories, users and the like in the reports.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A patient-oriented medical examination report query and automated intelligent analysis system, characterized by: the system comprises a user authority module, a report generating module, a report inquiring module, a report intelligent reading and analyzing module, a report printing module, an intelligent pushing module and an Aliskiu number increasing data platform;
the user permission module is designed independently, the report generation module, the report query module, the report intelligent interpretation analysis module, the report printing module, the intelligent pushing module and the Aliskiu number increasing data platform are designed and arranged in the same container independently, the Aliskiu number increasing data platform of the big data center platform carries out intelligent ETL cleaning on the report, and the cleaned report data is provided for services such as report query, report interpretation analysis, report printing and report intelligent pushing.
2. The system of claim 1, wherein the system comprises: the user authority module is mainly responsible for management of user authority, the service is independently designed, operates under a container and supports calling of any end, wherein any end comprises a public number, an applet and an App for inquiry, a user can register identity through registering user information according to any port of the public number, the applet, the App and the like, an application manager can establish corresponding roles according to the identity information registered by the user and distribute authority of various service objects, access authority of user pages and available application menus for different roles according to needs.
3. The system of claim 1, wherein the system comprises: the report generation module is mainly responsible for generating a medical examination report and is divided into two acquisition modes, wherein one acquisition mode is active acquisition and the other acquisition mode is passive acquisition;
the active acquisition refers to configuring API provided by a corresponding laboratory according to a system, the barcode generating service can acquire report data of the laboratory at regular time, and the passive acquisition refers to providing API correspondingly supporting protocols such as TCP, SOAP and HTTP and the like for the report generating service to call the laboratory;
and the two acquisition modes store the generated report bar code, report bar code details and report file into a database and an OSS distributed file.
4. The system of claim 1, wherein the system comprises: the report query module is mainly responsible for intelligent query of medical inspection reports, intelligent ETL cleaning is carried out on data through an Ariiyun number increasing data platform in combination with dimensionalities such as users, laboratories, report bar codes and report bar code details, all dimensionality data are loaded to a database after being extracted and cleaned and converted, dispersed, disordered and non-uniform medical inspection reports generated by the report generation module are integrated, and meanwhile, the data such as the reports, the report bar codes and the report bar code details are pushed to a report data center.
5. The system of claim 4, wherein the system comprises: after the data such as the report, the report bar code details and the like are pushed to the data center, the report is further refined and classified, and specifically, the report information of the data center is correspondingly refined and separately stored according to the categories of laboratories, orders, bar codes, names, sexes and time;
the laboratory refers to a clinic which generates a medical examination report form and corresponding examination laboratory information, the order refers to payment order information paid by a user during medical examination, the bar code refers to a report bar code of the medical examination report and detailed information of the report bar code, the name refers to information of a user registration account and real name information during medical examination, the gender refers to the gender of the user during registration account information, and the time refers to examination time information during medical examination and generation time information of the medical examination report form;
when the data center provides report query service according to a user request, the report is intelligently queried more quickly and accurately according to dimension information classified by laboratories, orders, bar codes, names, sexes, time and the like.
6. The system of claim 4, wherein the system comprises: the patient can inquire the examination report of the patient or the family through any client such as a public number, an applet and an App, and all clinic-related reports can be supported through the platform without being limited to a certain clinic.
7. The system of claim 1, wherein the system comprises: the report intelligent interpretation analysis module is mainly responsible for intelligently interpreting medical inspection reports, intelligently ETL cleaning is carried out on data through the Aliskiu number increasing data platform in combination with dimensional information such as user age, gender, current report interpretation and report examination items, and intelligent analysis interpretation of each examination item in the reports is provided by the service in combination with the big data platform;
the user can intelligently interpret his own examination report through the personal center at any end of our public number, applet, App, etc.
8. The system of claim 1, wherein the system comprises: the report printing module is mainly responsible for printing services of medical examination report forms and report information, the services support the combination of reports, the combination refers to the combination of medical examination reports of the current period and medical examination reports of the previous period of the user, and the report information of the user is combined and typeset through time sequence, so that the examination reports printed each time are the latest reports.
9. The system of claim 1, wherein the system comprises: the intelligent pushing module is used for pushing a query report to a client sending a request by a user correspondingly according to laboratory, order, bar code, name, gender and time information of the report after the data center queries the report according to the request of the user, and particularly for pushing the corresponding report query information to a public number, a small program and an App end of the user intelligently according to report dimension information after the user requests the query of the report, so that the report information is pushed quickly.
10. The system of claim 1, wherein the system comprises: the data platform for increasing the number of the Aliskies is mainly responsible for data cleaning such as report query and interpretation, and is cleaned to a report data center through a MaxCommuter calculation engine in combination with data such as bar codes, bar code details, laboratories and users in reports.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107368684A (en) * | 2017-07-20 | 2017-11-21 | 深圳市快易检网络科技有限公司 | The method and platform of service provided are examined using Cold Chain Logistics and internet as basic unit |
| CN109189844A (en) * | 2018-08-13 | 2019-01-11 | 合肥智圣新创信息技术有限公司 | A kind of inspection examining report business management system |
| CN110232959A (en) * | 2019-05-07 | 2019-09-13 | 西安迪康网络科技有限公司 | A kind of real-time system and method for reminding inspection, audit report state and content |
| CN110556173A (en) * | 2019-08-09 | 2019-12-10 | 刘丽丽 | intelligent classification management system and method for inspection report |
-
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- 2021-05-27 CN CN202110582080.6A patent/CN113223652A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107368684A (en) * | 2017-07-20 | 2017-11-21 | 深圳市快易检网络科技有限公司 | The method and platform of service provided are examined using Cold Chain Logistics and internet as basic unit |
| CN109189844A (en) * | 2018-08-13 | 2019-01-11 | 合肥智圣新创信息技术有限公司 | A kind of inspection examining report business management system |
| CN110232959A (en) * | 2019-05-07 | 2019-09-13 | 西安迪康网络科技有限公司 | A kind of real-time system and method for reminding inspection, audit report state and content |
| CN110556173A (en) * | 2019-08-09 | 2019-12-10 | 刘丽丽 | intelligent classification management system and method for inspection report |
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