KNOWLEDGE-BASED SCHEDULING OF DUTY ROSTERS FOR PHYSICIANS

被引：9

作者：

GIERL, L

POLLWEIN, B

HEYDE, G

KURT, H

机构：

[1] Data Processing Centre of the Medical School, University of Munich

[2] Institute for Anesthesiology, University of Munich

来源：

MEDICAL INFORMATICS | 1993年 / 18卷 / 04期

关键词：

RESOURCE PLANNING; DUTY ROSTER; EXPERT SYSTEM; EVERYDAY FAIRNESS AMONG PHYSICIANS;

D O I：

10.3109/14639239309025324

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：355 / 366

页数：12

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