NDLI: ATTENDING: Critiquing a Physician's Management Plan

Content Provider	IEEE Xplore Digital Library
Author	Miller, Perry L.
Copyright Year	1979
Abstract	The ATTENDING system is designed to critique a physician's preoperative plan for anesthetic management. In undertaking to critique a physician's plan, ATTENDING differs from other medical decision making systems, which in effect attempt to tell a physician what to do. ATTENDING's approach may prove more acceptable clinically, and may avoid certain social, medical, and medicolegal drawbacks. To cri-tique a physician's plan, ATTENDING must confront three basic problems. 1) It must be able to explore flexibly all possible approaches for a patient's management. The formalism of an ``augmented decision network'' allows this. 2) It must be able to assess the relative risks and benefits of alternative approaches intelligently. A heuristic approach to risk analysis is outlined, based on three basic principles which are de-scribed in detail. 3) It must produce a potentially complex analysis which critiques the plan in focused, readable prose. This is facilitated by PROSENET, an approach which allows clean separation between the organization of the content of an analysis and its expression in English prose.
Sponsorship	IEEE Computer Society
Starting Page	449
Ending Page	461
Page Count	13
File Size	3927927
File Format	PDF
ISSN	01628828
Volume Number	PAMI-5
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1983-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Medical diagnostic imaging Decision making Artificial intelligence Anesthetic drugs Risk analysis Physics computing Risk management Surgery Computer hacking Intelligent networks natural language prose generation Anesthesia management artificial intelligence in medicine computer-assisted medical management expert systems heuristic risk analysis medical consultation systems medical decision making
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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