Literature DB >> 2189054

Computer-assisted adult medical diagnosis: subject review and evaluation of a new microcomputer-based system.

H S Waxman1, W E Worley.   

Abstract

Three decades after the conceptual foundation was laid for computer-aided diagnosis, some of its potential has been realized. Systems based on probabilistic reasoning have been developed and applied within limited domains (e.g., acute abdominal pain) and for the general diagnosis of systemic disorders. Less progress has been made in the development and application of diagnostic systems based on "artificial intelligence", reflecting theoretical limits to this application of computers to medicine and the enormity of the task. The presently available probabilistic systems have recently been joined by a new microcomputer-based system, MEDITEL Computer-Assisted Diagnosis, Adult System. The performance of this system was evaluated with both clinical-pathologic conference cases and consecutive admissions with undiagnosed illnesses. The correct diagnosis appeared on the list generated by the system in 80 to 90% of the cases. Experience with this and other systems illustrates current issues in the evaluation of computer systems for aid in diagnosis and of computer-based medical "expert" systems in general. These issues include physician acceptance of these systems and the ethical, legal, and regulatory aspects of computer system application. We conclude that, in appropriately selected cases, the accuracy and efficiency of physician diagnosis can be enhanced with computer assistance, and the risk of overlooking the correct diagnosis can be reduced.

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Mesh:

Year:  1990        PMID: 2189054

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


  8 in total

1.  Influence of case and physician characteristics on perceptions of decision support systems.

Authors:  E S Berner; R S Maisiak
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

2.  Effects of a decision support system on physicians' diagnostic performance.

Authors:  E S Berner; R S Maisiak; C G Cobbs; O D Taunton
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

3.  Lack of awareness of community-acquired adverse drug reactions upon hospital admission : dimensions and consequences of a dilemma.

Authors:  Harald Dormann; Manfred Criegee-Rieck; Antje Neubert; Tobias Egger; Arnim Geise; Sabine Krebs; Thomas Schneider; Micha Levy; Eckhart Hahn; Kay Brune
Journal:  Drug Saf       Date:  2003       Impact factor: 5.606

Review 4.  Recent developments in computer-assisted diagnosis of putative adverse drug reactions.

Authors:  C A Naranjo; K L Lanctôt
Journal:  Drug Saf       Date:  1991 Sep-Oct       Impact factor: 5.606

5.  Relationships among performance scores of four diagnostic decision support systems.

Authors:  E S Berner; J R Jackson; J Algina
Journal:  J Am Med Inform Assoc       Date:  1996 May-Jun       Impact factor: 4.497

Review 6.  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

7.  Development and validation of a computer program using Bayes's theorem to support diagnosis of rheumatic disorders.

Authors:  H J Moens; J K van der Korst
Journal:  Ann Rheum Dis       Date:  1992-02       Impact factor: 19.103

Review 8.  The Effectiveness of Electronic Differential Diagnoses (DDX) Generators: A Systematic Review and Meta-Analysis.

Authors:  Nicholas Riches; Maria Panagioti; Rahul Alam; Sudeh Cheraghi-Sohi; Stephen Campbell; Aneez Esmail; Peter Bower
Journal:  PLoS One       Date:  2016-03-08       Impact factor: 3.240

  8 in total

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