CN110580940A - Chronic disease management method and device based on big data - Google Patents
Chronic disease management method and device based on big data Download PDFInfo
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- CN110580940A CN110580940A CN201910801136.5A CN201910801136A CN110580940A CN 110580940 A CN110580940 A CN 110580940A CN 201910801136 A CN201910801136 A CN 201910801136A CN 110580940 A CN110580940 A CN 110580940A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention relates to a chronic disease management method based on big data, which comprises the following steps: s1, data acquisition, including acquisition of chronic patient data in the region; s2, processing the collected data to obtain the personal data related to the chronic disease; s3, generating health characteristic factors according to the data, and obtaining the health characteristic factors according to the processed data; and S4, data classification, namely, classifying the health characteristic factors to generate a region success case characteristic map and a region non-ideal case characteristic map. The method combines regional local climate, living habits, medical staff level, understanding of local residents on chronic diseases, a local treatment mode method and the like, establishes regional chronic disease monitoring and management by a big data technology, analyzes local medical big data and chronic disease success cases, and generates an executable chronic disease management scheme with stronger regional applicability to improve the control rate by local resident chronic disease multi-factor cluster analysis.
Description
Technical Field
The invention relates to a chronic disease management method, in particular to a chronic disease management method and device based on big data.
background
At present, more than 3 hundred million chronic disease patients in China exist, the death number of chronic diseases accounts for 80% of the death number of the chronic diseases in China, the death number of the chronic diseases becomes the main cause of death of Chinese residents, and the disease burden accounts for 70% of the total disease burden; meanwhile, chronic diseases such as diabetes and the like are in a trend of youth, and the health and the life quality of residents are seriously influenced.
the traditional chronic disease management method is generally the medication based on guidelines and the change of living habits, and the control effect is not ideal.
Disclosure of Invention
in order to solve the above problems, the present invention provides a chronic disease management method based on big data, which is an executable chronic disease management scheme with stronger regional applicability and improves the control rate, and the specific technical scheme is as follows:
a chronic disease management method based on big data comprises the following steps:
S1, data acquisition, wherein the data acquisition comprises acquisition of chronic patient data in the region;
S2, processing the acquired data, wherein the data processing comprises data selection, data cleaning, data conversion, data simplification and exception processing, the data processing obtains the relevant personal data of the chronic disease, and the data comprises a blood pressure value, a blood sugar value, a weight, a disease history, a diagnosis and a treatment scheme;
S3, generating health characteristic factors according to the data, and obtaining the health characteristic factors according to the processed data, wherein the health characteristic factors comprise life habit files, regional characteristic files, personal health management files, family doctor chronic disease management files and various treatment files;
And S4, data classification, wherein the health characteristic factors are classified to generate a regional success case characteristic map and a regional non-ideal case characteristic map, the regional success case characteristic map comprises health characteristic factors for successful treatment of the chronic diseases, and the regional non-ideal characteristic map comprises health characteristic factors for failed treatment of the chronic diseases.
Preferably, the data acquisition in step S1 includes data acquisition of a personal health examination device, data acquisition of a physical examination of a chronic disease of a family doctor or a primary doctor, data acquisition of a doctor ' S office or a primary doctor ' S chronic medical record, data acquisition of a doctor ' S office and an electronic medical record of a primary medical institution, data acquisition of a doctor ' S office and an electronic medical record of a general hospital, data acquisition of an outpatient and an electronic medical record of a hospital ' S hospital of a special hospital or a general hospital, and data acquisition of other.
a big data based chronic disease management apparatus comprising a processor; and a memory having stored thereon a computer program operable on the processor, wherein the computer program, when executed by the processor, implements the steps of a big data based chronic disease management method.
a computer readable storage medium having stored thereon a data processing program which, when executed by a processor, implements the steps of a big-data based chronic disease management method.
compared with the prior art, the invention has the following beneficial effects:
the chronic disease management method based on big data provided by the invention combines regional local climate, living habits, medical staff level, local resident chronic disease understanding, local treatment mode methods and the like, establishes regional chronic disease monitoring and management by big data technology, analyzes local medical big data and chronic disease success cases, generates executable chronic disease management schemes with stronger regional applicability by local resident chronic disease multi-factor cluster analysis to improve the control rate, and provides systematic and continuous health management service for residents.
Detailed Description
a chronic disease management method based on big data comprises the following steps:
S1, data acquisition, wherein the data acquisition comprises acquisition of chronic patient data in the region;
S2, processing the acquired data, wherein the data processing comprises data selection, data cleaning, data conversion, data simplification and exception processing, the data processing obtains the relevant personal data of the chronic disease, and the data comprises a blood pressure value, a blood sugar value, a weight, a disease history, a diagnosis and a treatment scheme;
S3, generating health characteristic factors according to the data, and obtaining the health characteristic factors according to the processed data, wherein the health characteristic factors comprise life habit files, regional characteristic files, personal health management files, family doctor chronic disease management files and various treatment files;
And S4, data classification, wherein the health characteristic factors are classified to generate a regional success case characteristic map and a regional non-ideal case characteristic map, the regional success case characteristic map comprises health characteristic factors for successful treatment of the chronic diseases, and the regional non-ideal characteristic map comprises health characteristic factors for failed treatment of the chronic diseases.
preferably, the data acquisition in step S1 includes data acquisition of a personal health examination device, data acquisition of a physical examination of a chronic disease of a family doctor or a primary doctor, data acquisition of a doctor ' S office or a primary doctor ' S chronic medical record, data acquisition of a doctor ' S office and an electronic medical record of a primary medical institution, data acquisition of a doctor ' S office and an electronic medical record of a general hospital, data acquisition of an outpatient and an electronic medical record of a hospital ' S hospital of a special hospital or a general hospital, and data acquisition of other.
a big data based chronic disease management apparatus comprising a processor; and a memory having stored thereon a computer program operable on the processor, wherein the computer program, when executed by the processor, implements the steps of a big data based chronic disease management method.
A computer readable storage medium having stored thereon a data processing program which, when executed by a processor, implements the steps of a big-data based chronic disease management method.
The chronic disease management method based on big data can better monitor the effects of different management schemes on a certain body, and through the comparative analysis of a large number of local success cases, the success schemes related to the chronic disease are displayed, reference is provided for the diagnosis and treatment of doctors, and the diagnosis and treatment efficiency is improved. And the control rate of the chronic diseases is continuously improved through comparative analysis, and the functions of improving and dynamically monitoring the quality control management of the chronic diseases in the whole area are achieved.
various kinds of relevant data acquisition of the chronic disease data patient in the multi-mode multi-channel region, for example, data are acquired through ways such as intelligent wearable equipment and an electronic medical record system of a hospital three and are stored in a data management platform based on Hadoop, and the data have the characteristics of large data volume, fuzzy data, unstructured data and the like, so that data processing is needed. A large amount of noise data exists in the acquired data, and the data needs to be cleaned, converted and the like, so that disordered unstructured data is converted into structured data suitable for mining. The method mainly comprises data selection, data cleaning, data conversion, data simplification and abnormal data processing for processing a large amount of unstructured chronic disease data, and finally forms various types of chronic disease related data which are all around 360 degrees and take an individual patient as a center, such as blood pressure values, blood sugar values, weight, current disease history, diagnosis, treatment schemes and the like, and labels the chronic disease data of the individual patient according to the treatment result of each patient, namely 'regional success cases' and 'regional non-ideal cases', so that for the patient who appears later, the success scheme related to the chronic disease is displayed according to examination data or life habit data of the patient, and reference is provided for diagnosis and treatment of a doctor.
the chronic disease management method based on big data provided by the invention combines regional local climate, living habits, medical staff level, local resident chronic disease understanding, local treatment mode methods and the like, establishes regional chronic disease monitoring and management by big data technology, analyzes local medical big data and chronic disease success cases, generates executable chronic disease management schemes with stronger regional applicability by local resident chronic disease multi-factor cluster analysis to improve the control rate, and provides systematic and continuous health management service for residents.
Claims (4)
1. A chronic disease management method based on big data is characterized by comprising the following steps:
s1, data acquisition, wherein the data acquisition comprises acquisition of chronic patient data in the region;
S2, processing the acquired data, wherein the data processing comprises data selection, data cleaning, data conversion, data simplification and exception processing, the data processing obtains the relevant personal data of the chronic disease, and the data comprises a blood pressure value, a blood sugar value, a weight, a disease history, a diagnosis and a treatment scheme;
S3, generating health characteristic factors according to the data, and obtaining the health characteristic factors according to the processed data, wherein the health characteristic factors comprise life habit files, regional characteristic files, personal health management files, family doctor chronic disease management files and various treatment files;
And S4, data classification, wherein the health characteristic factors are classified to generate a regional success case characteristic map and a regional non-ideal case characteristic map, the regional success case characteristic map comprises health characteristic factors for successful treatment of the chronic diseases, and the regional non-ideal characteristic map comprises health characteristic factors for failed treatment of the chronic diseases.
2. The big-data-based chronic disease management method according to claim 1,
The data acquisition in the step S1 includes data acquisition of personal health examination equipment, data acquisition of chronic disease physical examination by family doctors or primary doctors, primary medical institution visit and electronic medical record data, general clinic visit and electronic medical record data, outpatient clinic and inpatient electronic medical record data of a special hospital or comprehensive hospital, and data acquisition of other personal chronic diseases.
3. A big data based chronic disease management apparatus comprising a processor; and
a memory having stored thereon a computer program operable on the processor, wherein the computer program when executed by the processor implements the steps of a big data based chronic disease management method as claimed in any of claims 1 to 2.
4. A computer-readable storage medium, having stored thereon a data processing program which, when executed by a processor, implements the steps of a big-data based chronic disease management method as claimed in any one of claims 1 to 2.
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| CN109326357A (en) * | 2018-11-27 | 2019-02-12 | 广东智源信息技术有限公司 | A kind of health control method and system based on self-service slow disease intervention |
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| CN109841282A (en) * | 2018-12-10 | 2019-06-04 | 广东省中医院 | A kind of Chinese medicine health control cloud system and its building method based on cloud computing |
| CN109920504A (en) * | 2019-02-27 | 2019-06-21 | 澹泊科技(苏州)有限公司 | A kind of cloud platform Telemedicine System |
| CN109935319A (en) * | 2019-03-15 | 2019-06-25 | 南京邮电大学 | Chronic disease systematic management system |
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Patent Citations (8)
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| CN107145704A (en) * | 2017-03-27 | 2017-09-08 | 西安电子科技大学 | Health medical treatment monitoring, evaluating system and its method for a kind of Community-oriented |
| CN109102897A (en) * | 2018-07-19 | 2018-12-28 | 贵州省人民医院 | A kind of Database and information retrieval method for disease big data |
| CN109326357A (en) * | 2018-11-27 | 2019-02-12 | 广东智源信息技术有限公司 | A kind of health control method and system based on self-service slow disease intervention |
| CN109841282A (en) * | 2018-12-10 | 2019-06-04 | 广东省中医院 | A kind of Chinese medicine health control cloud system and its building method based on cloud computing |
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Application publication date: 20191217 |