Title :
Scheduling cardiac procedures: a knowledge-based approach
Author :
Bharadwaj, Anandhi ; Sen, Arun ; Vinze, Ajay
Author_Institution :
Goizueta Bus. Sch., Emory Univ., Atlanta, GA, USA
fDate :
8/1/1999 12:00:00 AM
Abstract :
Decisions pertaining to the planning and scheduling of critical resources such as operating rooms (ORs) are among the most critical day-to-day problems faced by hospitals. These decisions impact not only the quality of care to patients but also the crucial relationship between the hospital and the physicians who practice there. OR scheduling is typically carried out by highly experienced staff who understand the idiosyncrasies of the particular environment. Due to the complexity of the problem and the dynamic nature of the environment, the effectiveness of general-purpose scheduling systems has been limited in such domains. In this paper, the authors describe the scheduling problem in a large cardiac center and present a knowledge-based approach for solving the problem. Their system-development efforts were based on an in-depth study of the scheduling problem using a protocol analysis technique. This paper presents a description of the scheduling problem at the cardiac center in the form of a case study and derives a system architecture that integrates principles of opportunistic planning and reason maintenance. The opportunism in their approach allows for incremental schedule construction, while the reason maintenance mechanism ensures that the system keeps track of reasons for scheduling decisions and revises the schedule whenever conflicts or new opportunities for schedule improvement arise
Keywords :
cardiology; health care; management; patient care; planning; scheduling; cardiac procedures scheduling; critical resources; knowledge-based approach; operating rooms; opportunistic planning; patient care quality; planning decisions; protocol analysis technique; reason maintenance mechanism; scheduling decisions; Artificial intelligence; Construction industry; Costs; Dynamic scheduling; Helium; Hospitals; Information technology; Job shop scheduling; Medical services; Protocols;
Journal_Title :
Engineering Management, IEEE Transactions on