Performance of Four Computer-Based Diagnostic Systems
| Autor: | Leonard D. Hudson, James R. Jackson, Eugene P. Frenkel, Charles E. Rackley, Elliott L. Mancall, James Algina, O. David Taunton, George D. Webster, Vincent W. Dennis, C. Glenn Cobbs, Alwyn A. Shugerman, Alfred L. Baker, Eugene V. Ball, Eta S. Berner |
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| Rok vydání: | 1994 |
| Předmět: | |
| Zdroj: | New England Journal of Medicine. 330:1792-1796 |
| ISSN: | 1533-4406 0028-4793 |
| DOI: | 10.1056/nejm199406233302506 |
| Popis: | Background Computer-based diagnostic systems are available commercially, but there has been limited evaluation of their performance. We assessed the diagnostic capabilities of four internal medicine diagnostic systems: Dxplain, Iliad, Meditel, and QMR. Methods Ten expert clinicians created a set of 105 diagnostically challenging clinical case summaries involving actual patients. Clinical data were entered into each program with the vocabulary provided by the program's developer. Each of the systems produced a ranked list of possible diagnoses for each patient, as did the group of experts. We calculated scores on several performance measures for each computer program. Results No single computer program scored better than the others on all performance measures. Among all cases and all programs, the proportion of correct diagnoses ranged from 0.52 to 0.71, and the mean proportion of relevant diagnoses ranged from 0.19 to 0.37. On average, less than half the diagnoses on the experts' original list of reasonab... |
| Databáze: | OpenAIRE |
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