Literature DB >> 365439

Evaluating the performance of a computer-based consultant.

V L Yu, B G Buchanan, E H Shortliffe, S M Wraith, R Davis, A C Scott, S N Cohen.   

Abstract

The performance of a computer-based clinical consultation system is evaluated. The program, called MYCIN, is designed to function as an aid for infectious disease diagnosis and therapy selection, with an initial emphasis on bacteremias. The evaluation methodology is discussed, as well as the difficulties encountered in attempting to evaluate clinical judgments. Specialists in infectious diseases judged MYCIN's final therapy recommedation, and intermediate conclusions about the significance of the infection and identity of infecting organisms. The evaluation techniques described may be useful in assessing the performance of other clinical decision aids. Results of the evaluation show that the program's therapy recommedations meet Stanford experts' standards of acceptable practice 90.9% of the time (table 2), with some variation noted both among individual experts and between Stanford experts and others (tables 1, 2).

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Year:  1979        PMID: 365439     DOI: 10.1016/0010-468x(79)90022-9

Source DB:  PubMed          Journal:  Comput Programs Biomed        ISSN: 0010-468X


  13 in total

1.  The contributions of biomedical informatics to the fight against bioterrorism.

Authors:  Isaac S Kohane
Journal:  J Am Med Inform Assoc       Date:  2002 Mar-Apr       Impact factor: 4.497

2.  Analysis of DNA microarrays using algorithms that employ rule-based expert knowledge.

Authors:  Kuang-Hung Pan; Chih-Jian Lih; Stanley N Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

Review 3.  Interface terminologies: facilitating direct entry of clinical data into electronic health record systems.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

4.  Rapid approximation of confidence intervals for Markov process decision models: applications in decision support systems.

Authors:  D J Cher; L A Lenert
Journal:  J Am Med Inform Assoc       Date:  1997 Jul-Aug       Impact factor: 4.497

Review 5.  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

6.  Strategies for searching medical natural language text. Distribution of words in the anatomic diagnoses of 7000 autopsy subjects.

Authors:  G W Moore; G M Hutchins; R E Miller
Journal:  Am J Pathol       Date:  1984-04       Impact factor: 4.307

7.  A survey of decision aids for clinicians.

Authors:  D W Young
Journal:  Br Med J (Clin Res Ed)       Date:  1982-11-06

8.  Database technology in health care.

Authors:  G Wiederhold
Journal:  J Med Syst       Date:  1981       Impact factor: 4.460

9.  Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration.

Authors:  Turgay Ayer; Oguzhan Alagoz; Jagpreet Chhatwal; Jude W Shavlik; Charles E Kahn; Elizabeth S Burnside
Journal:  Cancer       Date:  2010-07-15       Impact factor: 6.860

10.  Design of a decision support system to help clinicians manage glycemia in patients with type 2 diabetes mellitus.

Authors:  David Rodbard; Robert A Vigersky
Journal:  J Diabetes Sci Technol       Date:  2011-03-01
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