Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method for self-adaptive adjustment of patient follow-up reminder cycle

An adaptive adjustment, patient technology, applied in the field of medical information processing, which can solve the problems of adjusting the follow-up plan and fixing the follow-up period.

Inactive Publication Date: 2016-08-10
BEIJING UNIV OF TECH
View PDF1 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This type of follow-up system has a common problem: they are all regular follow-up systems with a fixed follow-up period, and cannot dynamically adjust the follow-up plan according to the development of the patient's condition

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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for self-adaptive adjustment of patient follow-up reminder cycle
  • A method for self-adaptive adjustment of patient follow-up reminder cycle
  • A method for self-adaptive adjustment of patient follow-up reminder cycle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] The present invention will be further described below according to the accompanying drawings and embodiments.

[0073] This example uses the actual follow-up data of patients with advanced non-small cell lung cancer (NSCLC) in a hospital, and uses the follow-up reminder cycle adaptive adjustment system based on patient follow-up data to adjust the follow-up cycle to obtain the next time the patient should visit. Assist doctors in diagnosis and treatment.

[0074] A flow chart of a patient follow-up reminder cycle self-adaptive adjustment method is attached figure 2 shown, including the following steps:

[0075] Step 1: Collect patient follow-up data.

[0076] In this embodiment, the data of 220 patients are collected, which mainly includes the following five parts:

[0077] (1) Changes in tumor size: Manually record the tumor size observed by CT, save the tumor size data to the database through the added function of the follow-up data module, and return the tumor siz...

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 belongs to the technical field of medical information processing, and discloses a patient follow-up visit reminding cycle self-adaptive adjustment method. The method comprises the steps of 1, collecting patient follow-up visit data, 2, establishing a patient follow-up visit system, and 3, updating data of a follow-up visit management system. According to the method, by taking a multidimensional longitudinal detection index as an input, and taking a survival quality score as an output, a variable coefficient model is established, the survival quality score is forecasted, a follow-up visit cycle is adjusted correspondingly according to a changing situation of the survival quality score, and the time of a follow-up visit of a patient is output finally. Compared with the scheme only using single time diagnosis and treatment data, the method can use cross correlation between the follow-up visit data better for forecasting the follow-up visit time of the patient, provides diagnosis and treatment assistance for a doctor, can dynamically adjust the follow-up visit scheme through a self-adaptive algorithm according to a development situation of an illness state of the patient, lowers the unnecessary medical treatment cost, and can provide services such as illness state tracking for the patient and the doctor.

Description

technical field [0001] The invention belongs to the technical field of medical information processing, and relates to a follow-up reminder period adaptive adjustment method based on patient follow-up data, which uses data modeling to dynamically adjust the length of the follow-up period to assist doctors in diagnosis and treatment. Background technique [0002] In biomedical and epidemiological research, it is usually necessary to evaluate the effects of independent variables such as treatment, dose, risk factors, and physical symptoms that change over time on disease conditions and population health conditions that change over time. The data obtained from repeated observations of the same individual at different time points are called follow-up data. Follow-up is an important link in the process of medical treatment for patients, and follow-up data is an important source of data for medical research projects. Ensuring timely follow-up of patients is not only conducive to r...

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 Patents(China)
IPC IPC(8): G06F19/00
Inventor 方丽英万敏李爽程文帅李会民王普
Owner BEIJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com