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Diabetes digital management method

A management method and diabetes technology, applied in the field of medical data management, can solve problems such as limitations, lack of exercise and dietary intervention, lack of active patient control, etc., to achieve the effect of efficient physical recovery

Pending Publication Date: 2022-05-13
生科(广东)数字化医疗科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the growth rate of diabetes patients in China is fast, accounting for a high proportion of the population. Therefore, the management of diabetes is of great significance to China's medical law. At present, China's diabetes management is mainly controlled through medical methods, and diabetes is regarded as a chronic disease. Guidance, but this management method is limited to taking medicine according to the will, mechanically controlling diet, and monitoring blood sugar. It lacks professional exercise and diet intervention, and the management efficiency in the process of diabetes control is not high, and it lacks the initiative of patients. Control, Invention CN201911386412-A diet method based on big data uses big data to actively control diet, and analyzes diet and health conditions in different time periods through big data servers to improve physical fitness, but this invention is aimed at diet information The processing method is cumbersome, and the nutrient intake corresponding to different diets cannot be predicted, and no reasonable exercise plan is provided for the diet in the process; the paper Lin J, Xiao L, Zhang S, etal. Application of Health Education Based on Metabolic Disease Management Information Platform in Patients with Type 2Diabetes after Discharge[J].Modern Clinical Nursing,2019 pointed out that the combination of diet control, blood sugar monitoring, regular exercise, and medication guidance for diabetic patients can effectively control and improve diabetes, but there is a lack of data collection and processing and monitoring means, thus resulting in a lack of effectiveness and data traceability in data management of diabetes

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Embodiment 1

[0070] An embodiment of the present invention provides a digital management method for diabetes, including:

[0071] Obtain the body data of diabetic patients, perform preprocessing on the body data, and send the preprocessed data to a preset big data processing platform;

[0072] Analyze the preprocessed data based on the big data processing platform, and send the analysis results to the data transmission ports corresponding to the sportsman and the nutritionist, and determine the sports nutrition plan;

[0073] According to the sports nutrition program, the patient's exercise and diet data are tracked and recorded in real time through the terminal application program, and the sports nutrition program is dynamically adjusted according to the recorded data;

[0074] The working principle of the above technical solution is: in the prior art of the present invention, the clinical data of the diabetic patients are obtained, the clinical data is preprocessed, the preprocessed clin...

Embodiment 2

[0079] In one embodiment of the present invention: said acquiring the body data of a diabetic patient, performing preprocessing on said body data, and sending the preprocessed data to a preset big data processing platform, includes:

[0080] Perform data filtering according to the physical data of the diabetic patient, obtain data to be processed, and perform data cleaning on the data to be processed to obtain primary processing data; wherein, the physical data includes: blood sugar data, liver data, muscle data , fat data, pancreas data, intestinal data, urine data, etc.; the data to be processed includes: missing data, noise data, repeated data;

[0081] classifying the primary processing data according to a preset data format, obtaining heterogeneous data, and performing data integration on the heterogeneous data to obtain secondary processing data;

[0082] Converting the secondary processing data to standard deviation data, obtaining the tertiary processing data, and sync...

Embodiment 3

[0088] In one embodiment of the present invention: said acquiring the body data of a diabetic patient, performing preprocessing on said body data, and sending the preprocessed data to a preset big data processing platform, further includes:

[0089] Comparing the preprocessed data with a preset threshold range to determine whether the body data is within the preset threshold range;

[0090] When the physical data is not within the preset threshold range, it is determined that the physical data is abnormal physical data;

[0091] When the physical data is within a preset threshold range, it is determined that the physical data is normal physical data;

[0092] Based on the preset diabetes detection platform, detect the abnormal body data of the patient, obtain the detection results, and store the detection results in the cloud server,

[0093] According to the detection results of the diabetic patients, the detection results are graded to obtain the diabetes grade classificati...

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Abstract

The invention provides a digital management method for diabetes mellitus, and the method comprises the steps: obtaining the body data of a diabetic patient, carrying out the preprocessing of the body data, and transmitting the preprocessed data to a preset big data processing platform; analyzing the preprocessed data based on the big data processing platform, sending an analysis result to data transmission ports corresponding to a sportsman and a nutritionist, and determining an exercise nutrition scheme; according to the exercise nutrition scheme, the exercise and diet data of the patient are tracked and recorded in real time through a terminal application program, and the exercise nutrition scheme is dynamically adjusted according to the recorded data. According to the invention, personalized exercise nutrition scheme customization and dynamic adjustment can be carried out on body recovery of diabetic patients.

Description

technical field [0001] The invention relates to the technical field of medical data management, in particular to a digital management method for diabetes. Background technique [0002] At present, the growth rate of diabetes patients in China is fast, accounting for a high proportion of the population. Therefore, the management of diabetes is of great significance to China's medical law. At present, China's diabetes management is mainly controlled through medical methods, and diabetes is regarded as a chronic disease. Guidance, but this management method is limited to taking medicine according to the will, mechanically controlling diet, and monitoring blood sugar. It lacks professional exercise and diet intervention, and the management efficiency in the process of diabetes control is not high, and it lacks the initiative of patients. Control, Invention CN201911386412-A diet method based on big data uses big data to actively control diet, and analyzes diet and health conditio...

Claims

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Application Information

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IPC IPC(8): G16H20/60G16H10/60G16H50/70G16H50/30G16H20/10G06F16/215G06F16/28
CPCG16H20/60G16H10/60G16H50/70G16H50/30G16H20/10G06F16/215G06F16/285
Inventor 付承彬章晋涛
Owner 生科(广东)数字化医疗科技有限公司
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