A heuristic-based computerized nurse scheduling system
Computers and Operations Research
Genetic Algorithm Based System for Patient Scheduling in Highly Constrained Situations
CBMS'97 Proceedings of the 10th conference on Computer based medical systems
Knowledge-Based Scheduling Systems in Industry and Medicine
IEEE Expert: Intelligent Systems and Their Applications
M-HTP: A system for monitoring heart transplant patients
Artificial Intelligence in Medicine
A knowledge driven approach to aerospace condition monitoring
Knowledge-Based Systems
Design of an assistive anaesthesia drug delivery control using knowledge based systems
Knowledge-Based Systems
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A knowledge-based reactive scheduling system is proposed to answer the requirements of Emergency Departments (EDs). The algorithm includes detailed patient priority, arrival time, flow time and doctor load. The main aim is to determine the patients who have higher priorities initially, and then minimize their waiting times. To achieve this aim, physicians and the other related workers can use an interactive system. In this study, we evaluated the existing system by comparing the proposed system. Also, reactive scheduling cases were evaluated for some items such as decreasing the number of doctors, changing durations and entering of an urgent patient to the system. All experiments were performed with proposed algorithm and right shift rescheduling approach.