Process mining method based on single-disease treatment process

Abstract

The invention provides a process mining method based on a single-disease treatment process. According to the method, a series of logic optimization algorithms such as association rules, a genetic algorithm, an EM (expectation maximum) algorithm and the like are used for determining a core even item of a treatment process, then case samples are used for connecting scattered points occurring on a treatment path for drawing, a treatment path diagram is obtained through a connected graph after historical case sample drawing, then each event node on the treatment path diagram is expanded, a complete treatment event item set is formed, and the cost interval for each treatment event item set is estimated and a treatment event sequence of the whole treatment process is given; the mined treatment event sequence is subjected to rationality verification and evaluation, and the path is disassembled effectively.

Description

technical field [0001] The invention relates to a process mining method based on a treatment process of a single disease, covering the fields of medical treatment, medical insurance, software development and the like. Background technique [0002] The clinical path is a diagnosis and treatment service program jointly developed by the medical staff of various relevant departments and departments. It is a sequential, time-sensitive and most appropriate clinical diagnosis and treatment plan for a specific disease or operation, so as to shorten the patient's life expectancy. Hospitalization time is reduced, medical expenses are reduced, and patients can obtain the best quality of care for continuous improvement. [0003] At present, the research and application of clinical pathways in foreign countries are basically at a mature stage. By 2003, 60% of hospitals in the United States had implemented clinical pathways. There are many literature reports in the United States, Japan, ...

AI Technical Summary

Problems solved by technology

[0008]The research on resource allocation needs to be further in-depth. Due to the lack of consideration of hospitalization time and cost performance during modeling, when optimizing resource allocation in the later stage, it can only give Even if some macro optimization strategies are proposed, the quantitative optimal resource allocation based on hospitalization time and medical expenses cannot be obtained.

[0009] With the continuous development of medical information, this static, too rigid, non-adaptive clinical path is increasingly unable to meet the needs of clinical medical care

Although this clinical approach can reduce medical differences and reduce patient medical costs to a certain extent, it also has great disadvantages for patients with obvious individual differences—even in the case of the same disease, patients There are also great differences in specific situations, and it is impossible to completely follow the established path

At present, most electronic applications of clinical pathways are static and do not support adaptive dynamic clinical pathway adjustments, so they cannot adapt to the processing of complex clinical problems, nor can they provide online decision-making processing of real-time "live" data of patients

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