Doctor-patient management system and method based on Internet artificial intelligence

An artificial intelligence and management system technology, applied in the field of doctor-patient management system, which can solve the lack of mechanisms and methods for patient filing and updating outside the hospital, the inability to achieve a long-term stable relationship between doctors and patients, and the inability to achieve a long-term stable relationship between doctors and patients. To improve the quality of medical services, reduce the risk of recurrence and deterioration, and avoid medical errors

Pending Publication Date: 2020-12-22
杭州翼心信息科技有限公司
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, the traditional doctor-patient relationship relies on offline medical institutions. Often patients can only establish a doctor-patient relationship when they actively go to the hospital to find a doctor. After completing a diagnosis and treatment relationship, the relationship between doctors and patients is terminated. It is inefficient and takes up a lot of time for doctors to conduct a new consultation every time they visit a doctor. Moreover, most patients with chronic diseases need to be managed by professional doctors for a long time to maintain a better control effect. Currently, without the support of relevant technologies, Physicians can't do the job of long-term management
[0003] Some applications of existing technologies and products have simply realized real-time communication between doctors and patients, but the current status is still unable to achieve a long-term and stable relationship between doctors and patients, and there is a lack of a complete mechanism and method for establishing and updating patient files outside the hospital , basically stay at the stage of one-time online consultation. Although individual cases have achieved long-term follow-up, most of the methods used are relatively backward and inefficient methods such as regular telephone follow-up
Unable to achieve a long-term stable relationship between doctors and patients

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0113] Example 1: Structured patient A's medical information forms n pieces of information containing:

[0114] 1. Gender (male)

[0115] 2. Age (67 years old)

[0116] 3. Diagnosis (coronary heart disease)

[0117] 4. Treatment method (percutaneous coronary stent implantation)

[0118] 5. Processing time (October 15, 2019)

[0119] The first collection with a large amount of guideline data is obtained by screening the guideline database with article 1 (gender (male));

[0120] Then use item 2 (age (67 years old)) to filter the first set to obtain the second set with a relatively small amount of guide data, but the amount of guide data is still large;

[0121] Then use item 3 (diagnosis (coronary heart disease)) to screen the second set to obtain the third set with smaller guideline data, among which, the guideline data can be accurately obtained: ① blood pressure control standard (<150 / 90mmHg), ② Heart rate control standard (55-70 beats / min), ③ LDL-C control standard (1-...

example 2

[0129] Example 2: Structured patient B's medical information forms n pieces of information containing:

[0130] 1. Gender (female)

[0131] 2. Age (40 years old)

[0132] 3. Diagnosis (atrial fibrillation)

[0133] 4. Treatment method (drug: warfarin)

[0134] 5. Medication status (began to take it on April 15, 2020, and have taken it for a full month)

[0135] The first collection with a large amount of guideline data is obtained by screening the guideline database with article 1 (gender (female));

[0136] Then use the second item (age (40 years old)) to filter the first set to obtain the second set with a relatively small amount of guide data, but the amount of guide data is still large;

[0137] Then use item 3 (diagnosis (atrial fibrillation)) to screen the second set to obtain a third set with smaller guideline data, in which guideline data can be accurately obtained: ① blood pressure control standard (<140 / 90mmHg), ② Heart rate control standard (60-80 beats / min), ③...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a doctor-patient management system and method based on Internet artificial intelligence. The system comprises a doctor terminal which is used for binding a doctor to a platformand achieving the operation of providing services for a patient, a patient terminal which is used for binding a patient to the platform and realizing binding with a specific doctor and medical treatment operation, and a server which is used for connecting the doctor terminal and the patient terminal and transmitting related information. According to the system and the method, the requirement of doctors for long-term management after a patient is hospitalized at present is met, the working efficiency of the doctors is greatly improved, the communication cost between the doctors and the patientis reduced, and most medical errors in medical behaviors are avoided to a greater extent through integration of medical logic. Through multi-element system construction and method function realization, the complexity and workload of patient file establishment and maintenance are greatly simplified, and a simpler and more convenient way is provided for patients to enjoy professional medical services.

Description

technical field [0001] The invention relates to a doctor-patient management system and method based on Internet artificial intelligence. Background technique [0002] At present, the traditional doctor-patient relationship relies on offline medical institutions. Often patients can only establish a doctor-patient relationship when they actively go to the hospital to find a doctor. After completing a diagnosis and treatment relationship, the relationship between doctors and patients is terminated. It is inefficient and takes up a lot of time for doctors to conduct a new consultation every time they visit a doctor. Moreover, most patients with chronic diseases need to be managed by professional doctors for a long time to maintain a better control effect. Currently, without the support of relevant technologies, Physicians cannot do the job of long-term management. [0003] Some applications of existing technologies and products have simply realized real-time communication betwe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16H40/20
CPCG16H40/20
Inventor 张闻欣张勇
Owner 杭州翼心信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap