CN112086150A - Clinical research data integration platform - Google Patents
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- CN112086150A CN112086150A CN202010757672.2A CN202010757672A CN112086150A CN 112086150 A CN112086150 A CN 112086150A CN 202010757672 A CN202010757672 A CN 202010757672A CN 112086150 A CN112086150 A CN 112086150A
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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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Abstract
The invention discloses a clinical research data integration platform, which comprises the following modules: a data acquisition module comprising an established data set; the set of building data includes the following information: basic information of the patient and the patient treatment record; the basic information of the patient comprises a certificate number, a patient name and a birth year and month, and forms a patient identifier; the patient visit record comprises a request mechanism, registration time, admission time, discharge time, and a patient identifier (FKI), and forms a patient visit identifier; the patient basic information also comprises a patient examination report and an assay report, and has the advantages that: the invention can realize comprehensive and complete data acquisition, information intercommunication by utilizing the Internet, and data are concentrated and processed to form a label so as to facilitate later observation and study through a data acquisition-interconnection-data concentration-data treatment-application layer.
Description
Technical Field
The invention relates to the technical field of medical clinical research, in particular to a clinical research data integration platform.
Background
The diagnosis and treatment data of modern hospitals are rapidly accumulated, and the conventional recording mode for writing medical records cannot meet the scientific research requirement. Data in the systems of the hospital HIS, the LIS, the RIS and the like are independent from each other, so that the data cannot be directly exported for statistical analysis. Clinical data collection modes are different from Excel to SPSS, unified standards are lacked, data collection quality is uneven, and scientific research output is influenced.
For existing clinical research projects, different clinical study design types require different data acquisition modes, especially prospective studies involving the recording of follow-up data. The privacy of the diagnosis and treatment data of the hospital is strong, the hospital database needs to be accessed, and a data environment which is safe enough and relatively independent is needed. At present, hospitals have numerous scientific research projects, a unified management platform is lacked, and meanwhile, the roles in clinical scientific research projects are numerous, and the differentiation management is also needed.
To solve the above problems, we propose a clinical research data integration platform.
Disclosure of Invention
The invention aims to solve the problems in the background art and provides a clinical research data integration platform.
In order to achieve the purpose, the invention adopts the following technical scheme: a clinical research data integration platform, the platform comprising the following modules:
a data acquisition module comprising an established data set;
the set of building data includes the following information: basic information of the patient and the patient treatment record;
the basic information of the patient comprises a certificate number, a patient name and a birth year and month, and forms a patient identifier;
the patient visit record comprises a request mechanism, registration time, admission time, discharge time, and a patient identifier (FKI), and forms a patient visit identifier;
the patient basic information also comprises a patient examination report and an assay report;
the patient examination report comprises a patient visit identification (FKI), a request mechanism, an image seeing, an image obtaining, a final report time, a patient identification (FKI), and forms an application form number report identification;
the test report includes a project sub-item, a patient visit identification (FKI), a request institution, a project value, a viewing time, a patient identification (FKI), and forms an application form number;
the patient treatment record also comprises operation record, medication record, vital signs, patient diagnosis and medical record document record;
the operation record comprises a patient visit identification (FKI), an operation name, an operation scale, an anesthesia mode, an operation starting time, an operation ending time and a patient identification (FKI), and forms an operation identification;
the medication record comprises a prescription number, a prescription source, a patient visit identification (FKI), a drug name, a dose unit, a start time, an end time, and forms a medication record;
the vital signs comprise project observation time, observation projects, project values, units and patient identification (FKI), and form a patient visit identification;
the patient diagnosis comprises a patient visit identification (FKI), a diagnosis name and a diagnosis time, and forms a source of the patient diagnosis identification;
the medical record document record comprises a patient treatment identifier, document creation time and document content, and forms a document record identifier;
the medical record document also comprises family history, past medical history and past treatment condition;
the family history comprises a patient diagnosis identifier, a relative type, a relative relationship and a relative fever name, and a document record identifier is formed;
the prior medical history comprises a character record number, a prior medical history name, a medical history starting time, a medical history ending time and a part, and forms a document record identifier;
the existing treatment condition comprises myeloid picture, immunophenotype, cytogenetics, molecular biology, treatment scheme, and forms record mark;
the interconnection module comprises a system integration platform-ESB and a data access platform (in a database replication and synchronization) - (OGG/CDC/ETL mode and the like);
the system integration platform comprises an HL7-adapter, a service registration, a message routing, a management system MDM and a patient index system;
the data management module comprises a standard data layer and an application data mart;
the standard data layer comprises a standardized Schema, cloud security storage, data normalization and data desensitization;
the application data mart comprises a data model, structuring, standardization and data mining;
and the application layer module comprises a patient panoramic view, a disease category library/scientific research platform, a knowledge base and document pushing module, operation management/quality control, multidisciplinary case discussion, a search engine, a DRGS/intelligent medical record, accurate medical treatment, crowd queuing research, health supervision and data reporting and clinical decision support CDSS.
In the above clinical research data integration platform, the data model includes diseases, diagnoses, patients, and the like;
the structuring includes symptoms, disease history, tests, etc.;
such standardization includes diagnostics, pharmaceuticals, testing, etc.;
the data mining includes clustering, classification, association, and the like.
In the clinical research data integration platform, the data acquisition module, the interconnection module, the data concentration module, the data management module and the application layer module form sequential steps.
In the above clinical research data integration platform, the search engine includes the following items at the time of retrieval: patient information, outpatient information, hospitalization information, diagnostic information, surgical information, cost, medical advice;
the patient information comprises discharge, treatment type, name, birth date, blood type, age, marital status, nationality, birth place, address, certificate type, certificate number, and telephone number;
the outpatient service information comprises the name of the outpatient service, the department of the outpatient service, the time of the outpatient service and the outpatient service doctor;
the hospitalization information comprises patient number, hospitalization days, hospitalization source, hospitalization department, hospitalization time, discharge time, transfer department, transfer time, death or death time and attending physician;
the diagnostic information comprises outpatient diagnosis, admission diagnosis and discharge diagnosis;
the operation information comprises operation type, operation name, start time, end time, anesthesia method, incision grade and operation grade;
the cost includes total cost, operation cost, oxygen inhalation cost, B ultrasonic, electrocardiogram of heart and brain, treatment cost, anesthesia cost, examination cost, assay cost, CT, nursing cost, etc.;
the orders include medication, treatment, surgery, examination, and care.
Compared with the prior art, the clinical research data integration platform has the advantages that:
1. the invention can realize system butt joint, automatically capture data and carry out structural modeling on the medical document, and has the advantages of ensuring data accuracy and post-structuring: the writing habit of doctors is not changed, the distributed processing realizes quick retrieval and the whole flow line implementation and management of scientific research projects.
2. The invention can realize comprehensive and complete data acquisition, information intercommunication by utilizing the Internet, and data are concentrated and processed to form a label so as to facilitate later observation and study through a data acquisition-interconnection-data concentration-data treatment-application layer.
Drawings
FIG. 1 is a simplified diagram of an integration platform for clinical research data according to the present invention;
FIG. 2 is a second schematic diagram of a clinical research data integration platform according to the present invention;
FIG. 3 is an enlarged view of the left-side dashed box of FIG. 2;
FIG. 4 is an enlarged view of the middle dashed box of FIG. 2;
FIG. 5 is an enlarged view of the dotted frame on the right side of FIG. 2;
fig. 6 is a schematic diagram of content retrieved by a clinical research data integration platform medical record retrieval platform according to the present invention.
Detailed Description
The following examples are for illustrative purposes only and are not intended to limit the scope of the present invention.
Examples
Referring to fig. 1-6, a clinical research data integration platform includes the following modules:
a data acquisition module comprising an established data set;
the set of building data includes the following information: basic information of the patient and the patient treatment record;
the basic information of the patient comprises a certificate number, a patient name and a birth year and month, and forms a patient identifier;
the patient visit record comprises a request mechanism, registration time, admission time, discharge time, and a patient identifier (FKI), and forms a patient visit identifier;
the patient basic information also comprises a patient examination report and an assay report;
the patient examination report comprises a patient visit identification (FKI), a request mechanism, an image seeing, an image obtaining, a final report time, a patient identification (FKI), and forms an application form number report identification;
the test report includes a project sub-item, a patient visit identification (FKI), a request institution, a project value, a viewing time, a patient identification (FKI), and forms an application form number;
the patient treatment record also comprises operation record, medication record, vital signs, patient diagnosis and medical record document record;
the operation record comprises a patient visit identification (FKI), an operation name, an operation scale, an anesthesia mode, an operation starting time, an operation ending time and a patient identification (FKI), and forms an operation identification;
the medication record comprises a prescription number, a prescription source, a patient visit identification (FKI), a drug name, a dose unit, a start time, an end time, and forms a medication record;
the vital signs comprise project observation time, observation projects, project values, units and patient identification (FKI), and form a patient visit identification;
the patient diagnosis comprises a patient visit identification (FKI), a diagnosis name and a diagnosis time, and forms a source of the patient diagnosis identification;
the medical record document record comprises a patient treatment identifier, document creation time and document content, and forms a document record identifier;
the medical record document also comprises family history, past medical history and past treatment condition;
the family history comprises a patient diagnosis identifier, a relative type, a relative relationship and a relative fever name, and a document record identifier is formed;
the prior medical history comprises a character record number, a prior medical history name, a medical history starting time, a medical history ending time and a part, and forms a document record identifier;
the existing treatment condition comprises myeloid picture, immunophenotype, cytogenetics, molecular biology, treatment scheme, and forms record mark;
the interconnection module comprises a system integration platform-ESB and a data access platform (in a database replication and synchronization) - (OGG/CDC/ETL mode and the like);
the system integration platform comprises an HL7-adapter, a service registration, a message routing, a management system MDM and a patient index system;
the data management module comprises a standard data layer and an application data mart;
the standard data layer comprises a standardized Schema, cloud security storage, data normalization and data desensitization;
the application data mart comprises a data model, structuring, standardization and data mining;
and the application layer module comprises a patient panoramic view, a disease category library/scientific research platform, a knowledge base and document pushing module, operation management/quality control, multidisciplinary case discussion, a search engine, a DRGS/intelligent medical record, accurate medical treatment, crowd queuing research, health supervision and data reporting and clinical decision support CDSS.
The data model includes diseases, diagnoses, patients, and the like;
the structuring includes symptoms, disease history, tests, etc.;
such standardization includes diagnostics, pharmaceuticals, testing, etc.;
the data mining includes clustering, classification, association, and the like.
The data acquisition module, the interconnection module, the data concentration module, the data management module and the application layer module form sequential steps.
The search engine includes the following items when retrieved: patient information, outpatient information, hospitalization information, diagnostic information, surgical information, cost, medical advice;
the patient information comprises discharge, treatment type, name, birth date, blood type, age, marital status, nationality, birth place, address, certificate type, certificate number, and telephone number;
the outpatient service information comprises the name of the outpatient service, the department of the outpatient service, the time of the outpatient service and the outpatient service doctor;
the hospitalization information comprises patient number, hospitalization days, hospitalization source, hospitalization department, hospitalization time, discharge time, transfer department, transfer time, death or death time and attending physician;
the diagnostic information comprises outpatient diagnosis, admission diagnosis and discharge diagnosis;
the operation information comprises operation type, operation name, start time, end time, anesthesia method, incision grade and operation grade;
the cost includes total cost, operation cost, oxygen inhalation cost, B ultrasonic, electrocardiogram of heart and brain, treatment cost, anesthesia cost, examination cost, assay cost, CT, nursing cost, etc.;
the orders include medication, treatment, surgery, examination, and care.
The invention can display the platform data overview and the platform information overview on the platform home page, wherein the platform data overview comprises the starting time-ending time, the number of patients and the number of medical records, and the platform information overview comprises a patient gender distribution annular chart, a patient treatment age group distribution annular chart and a medical record information distribution annular chart.
The invention can realize system butt joint, automatically capture data and carry out structural modeling on the medical document, and has the advantages of ensuring data accuracy and post-structuring: the writing habit of doctors is not changed, the distributed processing realizes quick retrieval and the whole flow line implementation and management of scientific research projects.
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 invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (4)
1. A clinical research data integration platform, comprising the following modules:
a data acquisition module comprising an established data set;
the set of building data includes the following information: basic information of the patient and the patient treatment record;
the basic information of the patient comprises a certificate number, a patient name and a birth year and month, and forms a patient identifier;
the patient visit record comprises a request mechanism, registration time, admission time, discharge time, and a patient identifier (FKI), and forms a patient visit identifier;
the patient basic information also comprises a patient examination report and an assay report;
the patient examination report comprises a patient visit identification (FKI), a request mechanism, an image seeing, an image obtaining, a final report time, a patient identification (FKI), and forms an application form number report identification;
the test report includes a project sub-item, a patient visit identification (FKI), a request institution, a project value, a viewing time, a patient identification (FKI), and forms an application form number;
the patient treatment record also comprises operation record, medication record, vital signs, patient diagnosis and medical record document record;
the operation record comprises a patient visit identification (FKI), an operation name, an operation scale, an anesthesia mode, an operation starting time, an operation ending time and a patient identification (FKI), and forms an operation identification;
the medication record comprises a prescription number, a prescription source, a patient visit identification (FKI), a drug name, a dose unit, a start time, an end time, and forms a medication record;
the vital signs comprise project observation time, observation projects, project values, units and patient identification (FKI), and form a patient visit identification;
the patient diagnosis comprises a patient visit identification (FKI), a diagnosis name and a diagnosis time, and forms a source of the patient diagnosis identification;
the medical record document record comprises a patient treatment identifier, document creation time and document content, and forms a document record identifier;
the medical record document also comprises family history, past medical history and past treatment condition;
the family history comprises a patient diagnosis identifier, a relative type, a relative relationship and a relative fever name, and a document record identifier is formed;
the prior medical history comprises a character record number, a prior medical history name, a medical history starting time, a medical history ending time and a part, and forms a document record identifier;
the existing treatment condition comprises myeloid picture, immunophenotype, cytogenetics, molecular biology, treatment scheme, and forms record mark;
the interconnection module comprises a system integration platform-ESB and a data access platform (in a database replication and synchronization) - (OGG/CDC/ETL mode and the like);
the system integration platform comprises an HL7-adapter, a service registration, a message routing, a management system MDM and a patient index system;
the data management module comprises a standard data layer and an application data mart;
the standard data layer comprises a standardized Schema, cloud security storage, data normalization and data desensitization;
the application data mart comprises a data model, structuring, standardization and data mining;
and the application layer module comprises a patient panoramic view, a disease category library/scientific research platform, a knowledge base and document pushing module, operation management/quality control, multidisciplinary case discussion, a search engine, a DRGS/intelligent medical record, accurate medical treatment, crowd queuing research, health supervision and data reporting and clinical decision support CDSS.
2. The clinical research data integration platform of claim 1, wherein the data model comprises disease, diagnosis, patient, etc.;
the structuring includes symptoms, disease history, tests, etc.;
such standardization includes diagnostics, pharmaceuticals, testing, etc.;
the data mining includes clustering, classification, association, and the like.
3. The clinical research data integration platform of claim 1, wherein the data collection module, the interconnection module, the data concentration module, the data administration module, and the application layer module are formed in a sequential step.
4. The clinical research data integration platform of claim 1, wherein the search engine comprises the following items when retrieving: patient information, outpatient information, hospitalization information, diagnostic information, surgical information, cost, medical advice;
the patient information comprises discharge, treatment type, name, birth date, blood type, age, marital status, nationality, birth place, address, certificate type, certificate number, and telephone number;
the outpatient service information comprises the name of the outpatient service, the department of the outpatient service, the time of the outpatient service and the outpatient service doctor;
the hospitalization information comprises patient number, hospitalization days, hospitalization source, hospitalization department, hospitalization time, discharge time, transfer department, transfer time, death or death time and attending physician;
the diagnostic information comprises outpatient diagnosis, admission diagnosis and discharge diagnosis;
the operation information comprises operation type, operation name, start time, end time, anesthesia method, incision grade and operation grade;
the cost includes total cost, operation cost, oxygen inhalation cost, B ultrasonic, electrocardiogram of heart and brain, treatment cost, anesthesia cost, examination cost, assay cost, CT, nursing cost, etc.;
the orders include medication, treatment, surgery, examination, and care.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112820368A (en) * | 2021-01-13 | 2021-05-18 | 中国人民解放军国防科技大学 | Method, system, device and storage medium for constructing critical patient data set |
| CN113643778A (en) * | 2021-10-14 | 2021-11-12 | 山东大学齐鲁医院 | In-hospital cardiac arrest screening method and system based on electronic medical record data |
| CN114300079A (en) * | 2021-12-30 | 2022-04-08 | 卫宁健康科技集团股份有限公司 | Case discussion report acquisition method, electronic device and storage medium |
| CN114496143A (en) * | 2021-12-31 | 2022-05-13 | 医渡云（北京）技术有限公司 | Method and device for associating clinical data with literature, electronic equipment and storage medium |
| CN114627994A (en) * | 2022-03-23 | 2022-06-14 | 中山大学附属第八医院（深圳福田） | Storage method of follow-up data for diagnosis and treatment of urinary calculus |
| CN114741521A (en) * | 2022-03-03 | 2022-07-12 | 清华大学 | Method and device for integrating clinical research data, electronic equipment and storage medium |
| CN115148322A (en) * | 2022-08-31 | 2022-10-04 | 神州医疗科技股份有限公司 | Clinical data storage method and system of clinical medical universal data structure model |
| CN115691743A (en) * | 2023-01-05 | 2023-02-03 | 神州医疗科技股份有限公司 | Clinical data path generation method and system based on hospital clinical big data |
| CN117453752A (en) * | 2023-12-25 | 2024-01-26 | 神州医疗科技股份有限公司 | Hospital clinical data retrieval method and device based on retrieval configuration table data model |
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| CN112820368A (en) * | 2021-01-13 | 2021-05-18 | 中国人民解放军国防科技大学 | Method, system, device and storage medium for constructing critical patient data set |
| CN113643778A (en) * | 2021-10-14 | 2021-11-12 | 山东大学齐鲁医院 | In-hospital cardiac arrest screening method and system based on electronic medical record data |
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| CN114627994A (en) * | 2022-03-23 | 2022-06-14 | 中山大学附属第八医院（深圳福田） | Storage method of follow-up data for diagnosis and treatment of urinary calculus |
| CN115148322A (en) * | 2022-08-31 | 2022-10-04 | 神州医疗科技股份有限公司 | Clinical data storage method and system of clinical medical universal data structure model |
| CN115691743A (en) * | 2023-01-05 | 2023-02-03 | 神州医疗科技股份有限公司 | Clinical data path generation method and system based on hospital clinical big data |
| CN117453752A (en) * | 2023-12-25 | 2024-01-26 | 神州医疗科技股份有限公司 | Hospital clinical data retrieval method and device based on retrieval configuration table data model |
| CN117453752B (en) * | 2023-12-25 | 2024-03-19 | 神州医疗科技股份有限公司 | Hospital clinical data retrieval method and device based on retrieval configuration table data model |
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