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Knowledge-based scheduling of duty rosters for physicians



Knowledge-based scheduling of duty rosters for physicians



Medical Informatics 18(4): 355-366



Applications of artificial intelligence methods to problems of common sense in medicine are rare. Our approach deals with a special class of resource allocation problems concerning fairness in the everyday life in a hospital. We treated the construction of a duty roster in a medical environment. We developed a fairness reasoning machine embedded in the expert system PEP for constructing a duty roster. Furthermore, we elicited and generalized knowledge about fairness between physicians. PEP has been used routinely. We observed a clear short cut of work time of the user in running it, and a 'fair' long-term allocation of physicians in the duty roster.

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Accession: 046508760

Download citation: RISBibTeXText

PMID: 8072344

DOI: 10.3109/14639239309025324


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