CN111755087A - Health medicine big data implementation method - Google Patents
Health medicine big data implementation method Download PDFInfo
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- CN111755087A CN111755087A CN201910240830.4A CN201910240830A CN111755087A CN 111755087 A CN111755087 A CN 111755087A CN 201910240830 A CN201910240830 A CN 201910240830A CN 111755087 A CN111755087 A CN 111755087A
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- physical examination
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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
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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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
- G16H70/00—ICT specially adapted for the handling or processing of medical references
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- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention relates to the technical field of medical health, in particular to a method for realizing big data of health medicine, which comprises the following steps: s1, carrying out various physical examinations in a hospital; s2, the physical examination equipment is compatible with a physical examination software system, and a physical examination database and a physical examination report are generated; s3, leading the generated physical examination database and the physical examination report into a database summary table through a data leading-in system; s4, analyzing by the big data analysis system to generate an evaluation model and an analysis report; and S5, the client can inquire the evaluation model and the analysis report through the mobile phone and link the personal doctor through the Internet. The invention can save a great deal of time of medical staff, can efficiently guide the patient through the APP of the patient, can obtain continuous and complete medical data of the patient, and is convenient for a doctor to trace and return to visit; the patient nursing system is simple to use, reduces the probability of disease recurrence of the patient through long-term tracking and nursing of individual doctors, saves the time for the patient to go to a hospital, and improves the life quality of the patient.
Description
Technical Field
The invention relates to the technical field of medical health, in particular to a health medical big data implementation method.
Background
China is the first major world population, and the large population base and rapidly growing aging population have brought about a continuously growing demand for medical services. The national level of medical service investment and element supply continues to increase to meet the demand for medical services. Under the condition that the medical service demand and supply are increased, the medical service system still presents the problems of difficult and expensive medical service, and the supply end and the demand end of the medical service are in contradiction.
Individuals are the units that receive medical services, the increase in population is the first element driving the rise in demand for medical services, and the increase in demand for industry drives the rapid development of the entire medical services industry. China is the first major country of the world population, the natural growth rate of the population is reduced year by year due to factors such as birth control policies, the total population still continuously rises, and the number of patients in medical institutions correspondingly increases.
In the prior art, a patient is ill and needs to be registered in a hospital, queued for waiting and diagnosed by a doctor, and after diagnosis, or the patient is in a rehabilitation stage, no good guidance is provided, so that the rehabilitation effect is influenced.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a method for realizing big data of health medicine.
In order to achieve the purpose, the invention adopts the following technical scheme:
a health medicine big data implementation method comprises the following steps:
s1, carrying out various physical examinations in a hospital;
s2, the physical examination equipment is compatible with a physical examination software system, and a physical examination database and a physical examination report are generated;
s3, leading the generated physical examination database and the physical examination report into a database summary table through a data leading-in system;
s4, analyzing by the big data analysis system to generate an evaluation model and an analysis report;
and S5, the client can inquire the evaluation model and the analysis report through the mobile phone and link the personal doctor through the Internet.
Preferably, in S1, the personal health data file is established, and the hospital physical examination devices are all connected to the internet cloud system.
Preferably, in S3, the data importing is data cleaning, deletion processing, encoding, and de-identification.
Preferably, in S3, the database summary table is linked with a medical internet special server, and the medical internet special server performs unstructured data processing and variable corresponding import into the database summary table.
Preferably, in S4, the big data analysis system performs statistical analysis, a depth algorithm, model evaluation, and model output.
Preferably, in S5, the mobile phone of the client is compatible with the APP of the patient and the personal doctor attends to the whole course of care, and the generated evaluation model and the analysis report are solved.
Preferably, in S5, the evaluation model and the analysis report include clinical diagnosis evaluation, disease and risk factor correlation analysis, disease risk evaluation model, and rehabilitation treatment model.
Preferably, in S5, the individual doctor gives guidance to the medicine, diet, exercise and psychological condition.
Compared with the prior art, the invention provides a method for realizing big data of health medicine, which has the following beneficial effects:
the invention can save a large amount of time of medical staff, can efficiently guide the patient through the APP of the patient, can acquire continuous and complete medical data of the patient, and is convenient for a doctor to trace and return to visit.
The invention is simple to use, reduces the probability of disease recurrence of the patient through the long-term tracking and nursing of the individual doctor, saves the time for the patient to go to the hospital and improves the life quality of the patient.
Drawings
FIG. 1 is a schematic structural diagram of an entirety of a big data implementation method for health medicine according to the present invention;
fig. 2 is a schematic structural diagram of a part of a method for implementing big data of health medicine according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1-2, a method for implementing big data of health medicine includes the following steps:
s1, carrying out various physical examinations in a hospital;
s2, the physical examination equipment is compatible with a physical examination software system, and a physical examination database and a physical examination report are generated;
s3, leading the generated physical examination database and the physical examination report into a database summary table through a data leading-in system;
s4, analyzing by the big data analysis system to generate an evaluation model and an analysis report;
and S5, the client can inquire the evaluation model and the analysis report through the mobile phone and link the personal doctor through the Internet.
In the step S1, personal health data files are established, and hospital physical examination equipment is connected to an Internet cloud system.
In S3, the data import includes data cleaning, deletion processing, encoding, and de-identification.
In the step S3, the database summary table is linked with the medical internet special server, and the medical internet special server is imported into the database summary table through unstructured data processing and variable correspondence.
In S4, the big data analysis system performs statistical analysis, depth algorithm, model evaluation, and model output.
In S5, the mobile phone of the client is compatible with the APP of the patient and the personal doctor nurses the patient in the whole process, and the generated evaluation model and the generated analysis report are solved.
In S5, the evaluation model and the analysis report include clinical diagnosis evaluation, disease and risk factor correlation analysis, disease risk evaluation model, and rehabilitation treatment model.
At said S5, the individual doctor may guide the medication, diet, exercise and psychological condition.
When the health examination system is used, S1, various physical examinations are carried out in a hospital, personal health data files are established, and hospital physical examination equipment is accessed to an internet cloud system; s2, the physical examination equipment is compatible with a physical examination software system, and a physical examination database and a physical examination report are generated; s3, leading the generated physical examination database and the physical examination report into a database summary table through a data leading-in system, wherein the data leading-in is data cleaning, missing processing, coding and de-identification, the database summary table is linked with a medical Internet special server, and the medical Internet special server is correspondingly led into the database summary table through unstructured data processing and variables; s4, analyzing by the big data analysis system to generate an evaluation model and an analysis report, and performing statistical analysis, depth algorithm, model evaluation and model output by the big data analysis system; and S5, the client can inquire the evaluation model and the analysis report through the mobile phone, and link with the personal doctor through the Internet, the mobile phone of the client is compatible with the patient APP, the personal doctor nurses in the whole process, and the generated evaluation model and the analysis report are answered.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A method for realizing big data of health medicine is characterized by comprising the following steps:
s1, carrying out various physical examinations in a hospital;
s2, the physical examination equipment is compatible with a physical examination software system, and a physical examination database and a physical examination report are generated;
s3, leading the generated physical examination database and the physical examination report into a database summary table through a data leading-in system;
s4, analyzing by the big data analysis system to generate an evaluation model and an analysis report;
and S5, the client can inquire the evaluation model and the analysis report through the mobile phone and link the personal doctor through the Internet.
2. The method for implementing big data of health medicine as claimed in claim 1, wherein in S1, the personal health data file is created, and the hospital physical examination devices are all connected to the internet cloud system.
3. The method for implementing big data in health medicine according to claim 1, wherein in S3, data import is data cleaning, deletion processing, encoding, and de-identification.
4. The method for implementing big data in health medicine as claimed in claim 1, wherein in S3, the database summary table is linked with a medical internet special server, and the medical internet special server is imported into the database summary table through unstructured data processing and variable mapping.
5. The method for implementing big data in health medicine according to claim 1, wherein in S4, the big data analysis system performs statistical analysis, depth algorithm, model evaluation, and model output.
6. The method for implementing big health medical data as claimed in claim 1, wherein in S5, the mobile phone of the client is compatible with the APP of the patient and the personal doctor attends to the patient all the time, and the generated evaluation model and analysis report are solved.
7. The method for implementing big data in health medicine according to claim 1, wherein in S5, the evaluation model and the analysis report include clinical diagnosis evaluation, analysis of correlation between disease and risk factors, disease risk evaluation model, and rehabilitation therapy model.
8. The method for implementing big data of health medicine according to claim 1, wherein in S5, the individual doctor guides the medicine, diet, exercise and psychological condition.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910240830.4A CN111755087A (en) | 2019-03-28 | 2019-03-28 | Health medicine big data implementation method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910240830.4A CN111755087A (en) | 2019-03-28 | 2019-03-28 | Health medicine big data implementation method |
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| CN111755087A true CN111755087A (en) | 2020-10-09 |
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| CN201910240830.4A Withdrawn CN111755087A (en) | 2019-03-28 | 2019-03-28 | Health medicine big data implementation method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113161016A (en) * | 2020-12-31 | 2021-07-23 | 上海明品医学数据科技有限公司 | Intelligent medical service system, method and storage medium |
| CN115841275A (en) * | 2022-12-07 | 2023-03-24 | 北京鸿鹄元数科技有限公司 | Physical examination method and device based on AI data management level |
-
2019
- 2019-03-28 CN CN201910240830.4A patent/CN111755087A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113161016A (en) * | 2020-12-31 | 2021-07-23 | 上海明品医学数据科技有限公司 | Intelligent medical service system, method and storage medium |
| CN115841275A (en) * | 2022-12-07 | 2023-03-24 | 北京鸿鹄元数科技有限公司 | Physical examination method and device based on AI data management level |
| CN115841275B (en) * | 2022-12-07 | 2023-09-05 | 北京鸿鹄元数科技有限公司 | Physical examination method and device based on AI (advanced technology attachment) data management level |
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Application publication date: 20201009 |