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Patient follow-up visit reminding cycle self-adaptive adjustment method

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

Inactive Publication Date: 2013-09-18
BEIJING UNIV OF TECH
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  • 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

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  • Patient follow-up visit reminding cycle self-adaptive adjustment method
  • Patient follow-up visit reminding cycle self-adaptive adjustment method
  • Patient follow-up visit reminding cycle self-adaptive adjustment method

Examples

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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...

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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

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Application Information

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Patent Type & Authority Applications(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
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