Method for constructing hospital patient triage queuing model

Abstract

The invention provides a method for constructing a hospital patient triage queuing model, wherein the method is characterized by comprising the following steps: step (1), in a period of time, continuously acquiring hospital admission department-transfer conditions of a plurality of patients, to obtain different-department transfer paths of the plurality of patients in a period of time; step (2), grading the transfer paths, establishing transfer path clusters, and studying patient transfer paths of different patterns in the transfer path clusters; step (3), converting the patient transfer pathswith the different patterns into a real-time monitoring path map, and analyzing the path map by using a queuing theory principle; and step (4), according to the queuing theory principle and a dynamicdisplay mode, obtaining a real-time path map and finding out a patient path result. A logarithmic normal distribution model is established for the workload of medical staff, the queuing model of themedical staff is initially established, the staffing configuration is optimized and the workload distribution is balanced.

Description

technical field [0001] The invention relates to the medical field, in particular to a method for constructing a hospital patient shunting and queuing model. Background technique [0002] Hospitals are complex systems with important social benefits and enormous costs. Costs are exacerbated by inefficiencies in hospital processes, which often manifest as congestion and lengthy delays in patient care. Therefore, a hospital's patient flow queuing network view is natural to study and improve its performance. The purpose of our study is to explore patient flow data by applying the perspective of a probabilistic queuing theory scientist, in conjunction with a data scientist. This approach, an exploratory data analysis (EDA) of patient flow data from a large Chinese hospital, revealed important features that are not easily explained by existing models. [0003] The healthcare system in general, and hospitals in particular, are a major determinant of our quality of life. They can...

AI Technical Summary

Problems solved by technology

[0004] However, when this happens, few researchers have access to the operating hospital data, and patient data is not actually public

Reasons are non-existence or poor quality data, concerns about confidentiality of patient information, and lack of incentives for data owners

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