Hospital bed scheduling method based on ant system optimization

Abstract

The invention discloses a hospital bed scheduling method based on ant system optimization. Three factors such as patient emergency level, receiving patient number and patient satisfaction degree are taken into comprehensive consideration, so that three targets of scheduling beds for patients with high emergency level, scheduling more beds for more patients and improving the patient satisfaction degree by the hospital are met; the characteristics of the ant system are completely utilized, each ant can construct an integrated solution path based on historical information and heuristic information in search on selecting patients to schedule beds, and solution of one problem is obtained through search for many times; dynamic and continuous scheduling on the hospital beds is supported and the next-time search can be guided by pheromone remained by the method last time, so that the convergence rate is increased and the accuracy degree of the solution is increased; and the aims of increasingthe utilization rate of hospital bed resources and improving the experience of patients on medical service by the hospital can be fulfilled.

Description

technical field [0001] The invention relates to the research field of intelligent allocation, in particular to a method for arranging hospital beds based on ant system optimization. Background technique [0002] Medical problems are closely related to people's lives, so the medical field has always been one of the most important fields in today's society. Among them, the most prominent ones are the "difficulty in seeing a doctor" and the tense relationship between doctors and patients that plague the public. The emergence of these problems is mainly caused by the lack of medical resources, information asymmetry between doctors and patients, and unreasonable resource allocation. In recent years, with the rapid development of the Internet of Things and the popularization of smart devices, in order to make more effective use of medical resources and improve hospital work efficiency, the concept of smart medical care has been developed. Smart medical care utilizes the Internet...

AI Technical Summary

Problems solved by technology

Since there may be new queued patients in the hospital every day, it is not practical to plan the bed arrangement for all the queued patients for a few days in advance. The emergency patient cannot be allocated a bed immediately

In addition, if the patient's queuing time has exceeded its maximum tolerance limit, or if the patient is told that he cannot be admitted to the hospital after waiting for a period of time, the patient may have negative emotions towards the hospital, and it is likely to cause tension in the doctor-patient relationship. Therefore, the bed arrangement method should also Taking into account the problem of the hospital's service experience for patients

[0005] At present, most of the existing bed arrangement methods in the hospital may have the problem of lack of consideration of the urgent situation of the patient's condition, the patient's evaluation of the hospital's service quality, and the dynamic increase of patients in the queue

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