Literature DB >> 1762580

Validation, clinical trial, and evaluation of a radiology expert system.

C E Kahn1.   

Abstract

The PHOENIX Radiology Consultant is a rule-based expert system which assists physicians in planning radiological work-up strategies. This article describes the methods used to create and validate the system's knowledge base. The feasibility and acceptability of PHOENIX were tested for two years in a clinical trial. During this period, the system was used 1,421 times, an average of 13.7 times per week, primarily by medical students and nonradiologist physicians. Much of the system's use occurred at night and on weekends, when the radiology department was not fully staffed. Several physicians were enlisted to further evaluate the utility of the system. The results of their evaluation indicate that an expert system that helps physicians select diagnostic-imaging studies can serve as a useful and informative component of a radiology information system, and is particularly useful for medical students and physicians in training.

Mesh:

Year:  1991        PMID: 1762580

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  5 in total

1.  Integrating Radiology and Hospital Information Systems: the advantage of shared data.

Authors:  P J Haug; T A Pryor; P R Frederick
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

2.  Evaluation of a new method for cardiovascular reasoning.

Authors:  W J Long; S Naimi; M G Criscitiello
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

Review 3.  Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.

Authors:  R A Miller
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

4.  Planning diagnostic imaging work-up strategies using case-based reasoning.

Authors:  C E Kahn
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

Review 5.  Decision support systems for clinical radiological practice -- towards the next generation.

Authors:  S M Stivaros; A Gledson; G Nenadic; X-J Zeng; J Keane; A Jackson
Journal:  Br J Radiol       Date:  2010-11       Impact factor: 3.039

  5 in total

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