Computer-assisted diagnostic decision support: History, challenges, and possible paths forward

Advances in Health Sciences Education

Volumn 14, Issue 1 SUPPL, 2009, Pages 89-106

  Miller, Randolph A ^a  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Computer assisted; Computers; Decision support systems; Diagnosis; Management trends; Research; User computer interface

Indexed keywords

ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; DECISION SUPPORT SYSTEM; HISTORY;

DECISION SUPPORT SYSTEMS, CLINICAL; DIAGNOSIS, COMPUTER-ASSISTED; HISTORY, 20TH CENTURY; HISTORY, 21ST CENTURY; USER-COMPUTER INTERFACE;

EID: 73349130032     PISSN: 13824996     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10459-009-9186-y     Document Type: Article

References (76)

1. Adams, I. D., Chan, M., Clifford, P. C., et al. (1986). Computer aided diagnosis of acute abdominal pain: A multicentre study. British Medical Journal (Clinical research ed.), 293, 800-804.
2. Aliferis, C. F., Cooper, G. F., Miller, R. A., Buchanan, B. G., Bankowitz, R., & Giuse, N. B. (1996). A temporal analysis of QMR. Journal of the American Medical Informatics Association, 3, 79-91.
3. Bankowitz, R. A., McNeil, M. A., Challinor, S. M., Parker, R. C., Kapoor, W. N., & Miller, R. A. (1989a). A computer-assisted medical diagnostic consultation service: Implementation and prospective evaluation of a prototype. Annals of Internal Medicine, 110, 824-832.
4. Bankowitz, R. B., McNeil, M. A., Challinor, S. M., & Miller, R. A. (1989b). Effect of a computer-assisted general medicine diagnostic consultation service on housestaff diagnostic strategy. Methods of Information in Medicine, 28, 352-356.
5. Barnett, G. O., Cimino, J. J., Hupp, J. A., & Hoffer, E. P. (1987). DXplain. An evolving diagnostic decisionsupport system. JAMA, 258, 67-74.
6. Bates, D. W., et al. (2003). Ten Commandments for effective clinical decision support. Journal of the American Medical Informatics Association, 10(6), 523-530.
7. Berner, E. S., Webster, G. D., Shugerman, A. A., et al. (1994). Performance of four computer-based diagnostic systems. New England Journal of Medicine, 330(25), 1792-1796.
8. Berner, E. S., Maisiak, R. S., Cobbs, C. G., & Taunton, O. D. (1999). Effects of a decision support system on physicians' diagnostic performance. Journal of the American Medical Informatics Association, 6(5), 420-427.
9. Bleich, H. L. (1969). Computer evaluation of acid-base disorders. Journal of Clinical Investigation, 48, 1689-1696.
10. Blois, M. S., Tuttle, M. S., & Sherertz, D. D. (1981). RECONSIDER: A program for generating differential diagnoses. In: Hefferman, H. G. (Ed.). Proceedings of the Fifth Annual Symposium On Computer Applications in Health Care (pp. 263-268). Washington, DC: IEEE Computer Society Press.
11. Collen, M. F. (1995). A history of medical informatics in the United States: 1950 to 1990.Bethesda (p. 489). Amer Med Informatics Assoc: MD. ISBN 0-9647743-0-5.
12. Cooper, G. F. (1986). A diagnostic method that uses causal knowledge and linear programming in the application of Bayes' formula. Computer Methods and Programs in Biomedicine, 22(2), 223-237.
13. de Dombal, F. T., Hortocks, J. C., Staniland, J. R., & Gill, P. W. (1971). Simulation of clinical diagnosis: A comparative study. British Medical Journal, 2, 575-577.
14. Durack, D. T. (1978). The weight of medical knowledge. New England Journal of Medicine, 298(14), 773-775.
15. Feldman, M. J., & Bartlett, G. O. (1991). An approach to evaluating the accuracy of' DXplain. Computer Methods and Programs in Biomedicine, 35, 261-266.
16. Friedman, C. P., & Wyatt, J. (1997). Evaluation methods in medical informatics (p. 311). New York: Springer. ISBN 0387942289, 9780387942285.
17. Friedman, C. P., Elstein, A. S., Wolf, F. M., et al. (1999). Enhancement of clinicians' diagnostic reasoning by computer-based consultation: A multisite study of 2 systems. JAMA, 282(19), 1851-1856.
18. Fryback, D. G. (1978). Bayes' theorem and conditional nonindependence of data in medical diagnosis. Computers and Biomedical Research, 11, 423-434.
19. Giuse, N. B., Bankowitz, R. A., Giuse, D. A., Parker, R. C., & Miller, R. A. (1989a). Medical Knowledge Base Acquisition: The Role of Expert Review Process in Disease Profile Construction. Proceedings of Thirteenth Annual Symposium on Computer Applications in Medical Care (pp. 105-109). Washington, DC: IEEE Press.
20. Giuse, N. B., Giuse, D. A, & Miller, R. A. (1989b). Medical knowledge base construction as a means of introducing students to medical informatics. Proceedings of the International Symposium on Medical Informatics and Education (pp. 228-232). Victoria, BC.
21. Giuse, D. A., Giuse, N. B., & Miller, R. A. (1990). Towards computer assisted maintenance of medical knowledge bases. Artificial Intelligence in Medicine, 2, 21-33.
22. Giuse, N, B, Giuse, D. A, Bankowitz, R. A., & Miller, R. A. (1993a). Comparing contents of a knowledge base to traditional information sources. Proceedings of the Seventeenth Annual Symposium on Computer Applications in Medical Care. Washington DC: McGraw-Hill, Nov. 1993.
23. Giuse, D. A., Giuse, N. B., & Miller, R. A. (1993b). Consistency enforcement in medical knowledge base construction. Artificial Intelligence in Medicine, 5, 245-252.
24. Giuse, N. B., Giuse, D. A., Miller, R. A., Bankowitz, R. A., Janosky, J. E., Davidoff, F., et al. (1993c). Evaluating consensus among physicians in medical knowledge base construction. Methods of Information in Medicine, 32, 137-145.
25. Giuse, D. A., Giuse, N. B., & Miller, R. A. (1995). Evaluation of long-term maintenance of a large medical knowledge base. Journal of the American Medical Informatics Association, 2, 297-306.
26. Gorman, P. N., & Helfand, M. (1995). Information seeking in primary care: How physicians choose which clinical questions to pursue and which to leave unanswered. Medical Decision Making, 15(2), 113-119.
27. Gorry, A. (1968). Strategies for computer-aided diagnosis. Mathematical Biosciences, 2, 293-318.
28. Gorry, G. A., & Barnett, G. O. (1968). Experience with a model of sequential diagnosis. Computers and Biomedical Research, 1, 490-507.
29. Horrocks, J. C., McCann, A. P., Staniland, J. R., Leaper, D. J., & de Dombal, F. T. (1972). Computer-aided diagnosis: Description of an adaptable system, and operational experience with 2, 034 cases. British Medical Journal, 2(5804), 5-9.
30. Hupp, J. A., Cimino, J. J., Hoffer, E. F., Lowe, H. J., & Barnett, G. O. (1986). Explain-A computer-based diagnostic knowledge base. In: Proc Fifth World Conference on Medical Informatics, MEDINFO 86 (pp. 3117-3121). Amsterdam: North-Holland.
31. Kingsland, L. C. III, Sharp, G. C., Kay, D. R., Weiss, S. M., Roeseler, G. C., & Lindberg, D. A. B. (1982). An expert consultant system in rheumatology: AI/RHEUM. Proc Sixth Ann Symp Comput Appl Med Care (pp. 748-752).
32. Kingsland, L., Sharp, G., & Capps, R. (1983). Testing of a criteria-based consultant system in rheumatology. In J. van Bemmel, M. Ball, O. Wigertz, et al. (Eds.), Proceedings of MEDlNFO-83 (pp. 514-517). Amsterdam, The Netherlands: North-Holland.
33. Lau, L. M., & Warner, H. R. (1992). Performance of a diagnostic system (Iliad) as a tool for quality assurance. Computers and Biomedical Research, 25, 314-323.
34. Ledley, R. S., & Lusted, L. B. (1959). Reasoning foundations of medical diagnosis. Science, 130, 9-21.
35. Leigh, T. M., Young, P. R., & Haley, J. V. (1993). Performances of family practice diplomates on successive mandatory recertification examinations. Academic Medicine, 68(12), 912-918.
36. Lindbeg, D. A. B., Rowland, L. R., Buch, C. R. Jr., Morse, W. F., & Morse, S. S. (1968). CONSIDER: A computer program for medical instruction. Proc Ninth IBM Med Symp.
37. Lipkin, M., & Hardy, J. D. (1958). Mechanical correlation of data in differential diagnosis of hematological diseases. JAMA, 166, 113-123.
38. Madlon-Kay, D. J. (1989). The weight of medical knowledge: Still gaining. New England Journal of Medicine, 321(13), 908.
39. Masarie, F. E., Jr., Miller, R. A., & Myers, J. D. (1985). INTERNIST-I PROPERTIES: Representing common sense and good medical practice in a computerized medical knowledge base. Computers and Biomedical Research, 18, 458-479.
40. Miller, R. A. (1984). Internist-1/CADUCEUS: Problems facing expert consultant programs. Methods of Information in Medicine, 23, 9-14.
41. Miller, R. A. (1990). Why the standard view is standard: People, not machines, understand patients' problems. Journal of Medicine and Philosophy, 15, 581-591.
42. Miller, R. A. (1994). Medical diagnostic decision support systems past, present, and future. Journal of the American Medical Informatics Association, 1, 8-27.
43. Miller, R. A. (1996). Evaluating evaluations of medical diagnostic systems. Journal of the American Medical Informatics Association, 3, 429-431.
44. Miller, R. A. (1997). A heuristic approach to the multiple diagnoses problem. In E. Keravnou, C. Garbay, R. Baud, & J. Wyatt (Eds.), Artificial intelligence in medicine, proceedings of AIME 97. Lecture notes in artificial intelligence series, #1211 (pp. 187-198). Berlin: Springer.
45. Miller, R. A., & Gardner, R. M. (1997). Summary recommendations for responsible monitoring and regulation of clinical software systems. Annals of Internal Medicine, 127(9), 842-845.
46. Miller, R. A., & Masarie, F. E., Jr. (1989). Use of the quick medical reference (QMR) (R) program as a tool for medical education. Methods of Information in Medicine, 28, 340-345.
47. Miller, R. A., & Masarie, F. E., Jr. (1990). The demise of the "greek oracle" model for medical diagnostic systems. Methods of Information in Medicine, 29, 1-2.
48. Miller, R. A., & Masarie, F. E. (1992). The Quick Medical Reference (QMR) Relationships function: Description and evaluation of a simple, efficient "multiple diagnoses" algorithm. Proc MEDINFO 92 (pp. 512-518). Geneva, Switzerland.
49. Miller, R. A., & Schaffner, K. F. (1982). The logic of problem-solving in clinical diagnosis: A course for second-year medical students. Journal of Medical Education, 57, 63-65.
50. Miller, R. A., Pople, H. E., Jr., & Myers, J. D. (1982). INTERNIST-1, an experimental computer-based diagnostic consultant for general internal medicine. New England Journal of Medicine, 307, 468-476.
51. Miller, R. A., Schaffner, K. F., & Meisel, A. (1985). Ethical and legal issues related to the use of computer programs in clinical medicine. Annals of Internal Medicine, 102, 529-536.
52. Miller, R. A., Masarie, F. E., & Myers, J. D. (1986a). "Quick medical reference" for diagnostic assistance. MD Computing, 3, 34-48.
53. Miller, R. A., McNeil, M. A., Challinor, S., Masarie, F. E., & Myers, J. D. (1986b). Status report: The INTERNIST-1/quick medical reference project. Western Journal of Medicine, 145, 816-822.
54. Nash, F. A. (1954). Differential diagnosis: An apparatus to assist the logical faculties. Lancet, 1, 874.
55. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice Hall.
56. Newman-Toker, D. E., & Pronovost, P. J. (2009). Diagnostic errors-The next frontier for patient safety. JAMA, 301(10), 1060-1062.
57. Nordyke, R. A., Kulikowski, C. A., & Kulikowski, C. W. (1971). A comparison of methods for the automated diagnosis of thyroid dysfunction. Computers and Biomedical Research, 4(4), 374-389.
58. Osheroff, J. A., Forsythe, D. E., Buchanan, B. G., Bankowitz, R. A., Blumenfeld, B. H., & Miller, R. A. (1991). Physicians' information needs: An analysis of questions posed during clinical teaching in internal medicine. Annals of Internal Medicine, 114, 576-581.
59. Parker, R. C., & Miller, R. A. (1989). Creation of a knowledge base adequate for simulating patient cases: Adding deep knowledge to the INTERNIST-1/QMR knowledge base. Methods of Information in Medicine, 28, 346-351.
60. Pauker, S. G., Gorry, G. A., Kassirer, J. P., & Schwartz, W. B. (1976). Towards the simulation of clinical cognition. Taking a present illness by computer. American Journal of Medicine, 60(7), 981-996.
61. Pearl, J. (1987). Evidential reasoning using stochastic simulation of causal models. Artificial Intelligence, 32, 245-252.
62. Pople, H. E., Jr. (1982). Heuristic methods for imposing structure on ill-structured problems: The structuring of medical diagnostics. In P. Szolovits (Ed.), Artificial intelligence in medicine (pp. 119-190). Boulder, Co: Westview Press. AAAS Symposium Series, no. 51.
63. Pople, H. E., Myers, J. D., & Miller, R. A (1975). DIALOG: A model of diagnostic logic for internal medicine. In: Proceedings of the fourth International Joint Conference on Artificial Intelligence (pp. 848-855). Cambridge, Massachusetts: MIT Artificial Intelligence Laboratory Publications.
64. Porter, J. F., Kingsland, L. C., I. I. I., Lindbeerg, D. A., et al. (1988). The AI/RHEUM knowledge-based computer consulatant system in rheumatology. Performance in the diagnosis of 59 connective tissue disease patients from Japan. Arthritis and Rheumatism, 31, 219-226.
65. Ramnarayan, P., Kapoor, R. R., Coren, M., Nanduri, V., Tomlinson, A. L., Taylor, P. M., et al. (2003). Measuring the impact of diagnostic decision support on the quality of clinical decision making: Development of a reliable and valid composite score. Journal of the American Medical Informatics Association, 10(6), 563-572.
66. Ramnarayan, P., Tomlinson, A., Kulkarni, G., Rao, A., & Britto, J. (2004). A novel diagnostic aid (ISABEL): Development and preliminary evaluation of clinical performance. Studies in Health Technology and Informatics, 107(Pt 2), 1091-1095.
67. Ramnarayan, P., Winrow, A., Coren, M., Nanduri, V., Buchdahl, R., Jacobs, B., et al. (2006). Diagnostic omission errors in acute paediatric practice: Impact of a reminder system on decision-making. BMC Medical Informatics and Decision Making, 6, 37-39.
68. Ramsey, P. G., Carline, J. D., Inui, T. S., Larson, Lo. Gerfo. J. P., Norcini, J. J., & Wenrich, M. D. (1991). Changes over time in the knowledge base of practicing internists. JAMA, 266(8), 1103-1107.
69. Shiffman, R. N. (1995). Guideline maintenance and revision. 50 years of the Jones criteria for diagnosis of rheumatic fever. Archives of Pediatrics and Adolescent Medicine, 149(7), 727-732.
70. Shortliffe, E. H. (1976). Computcr-based medical consultations: MYCIN. Artificial Intelligence Series. New York: Elsevier Computer Science Library.
71. Statnikov, A., Aliferis, C. F., Tsamardinos, I., Hardin, D., & Levy, S. (2005). A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics, 21(5), 631-643.
72. Stead, W. W., Haynes, R. B., Fuller, S., Friedman, C. P., et al. (1994). Designing medical informatics research and library-Resource projects to increase what is learned. Journal of the American Medical Informatics Association, 1(1), 28-33.
73. Szolovits, P., Patil, R. S., & Schwartz, W. B. (1988). Artificial intelligence in medical diagnosis. Annals of Internal Medicine, 108, 7.
74. Warner, H. R., Jr. (1989). Iliad: Moving medical decision-making into new frontiers. Methods of Information in Medicine, 28, 370-372.
75. Warner, H. R., Toronto, A. F., Veasey, L. G., & Stephenson, R. A. (1961). Mathematical approach to medical diagnosis. JAMA, 177, 75-81.
76. Warner, H. R, Haug, P., & Bouhaddou, O., et al. (1987). ILIAD as an expert consultant to teach differential diagnosis. In: Proceedings of the Twelfth Annual Symposium on Computer Applications in Medical Care (pp. 371-376). New York: IEEE Computer Society Press.