Subscribe to RSS
DOI: 10.1055/s-0038-1636814
Use of the Quick Medical Reference (QMR) Program as a Tool for Medical Education
Publication History
Publication Date:
17 February 2018 (online)
Abstract:
The original goal of the INTERNIST-1 project, as formulated in the early 1970s, was to develop an expert consultant program for diagnosis in general internal medicine. By the early 1980s, it was recognized that the most valuable product of the project was its medical knowledge base (KB). The INTERNIST-1/QMR KB comprehensively summarizes information contained in the medical literature regarding diagnosis of disorders seen in internal medicine. The QMR program was developed to enable its users to exploit the contents ofthe INTERNIST-1/ QMR KB in educationally, clinically, and computationally useful ways. Utilizing commonly available microcomputers, the program operates at three levels - as an electronic textbook, as an intermediate level spreadsheet for the combination and exploration of simple diagnostic concepts, and as an expert consultant program. The electronic textbook contains an average of 85 findings and 8 associated disorders relevant to the diagnosis of approximately 600 disorders in internal medicine. Inverting the disease profiles creates extensive differential diagnosis lists for the over 4250 patient findings known to the system. Unlike a standard printed medical textbook, the QMR knowledge base can be manipulated “on the fly” to format displays that match the information needs of users. Preliminary use of the program for education of medical students and medical house officers at several sites has met with an enthusiastic response.
-
REFERENCES
- [1] Pople HE, Myers JD, Miller RA. DIALOG: A model of diagnostic logic for internal medicine. Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Cambridge Mass: MIT Artificial Intelligence Laboratory Publications 1975: 848-855.
- [2] Miller RA, Pople HE, Myers JD. INTERNIST-1, an experimental computer-based diagnostic consultant for general internal medicine. N Engl J Med. 1982; 307: 468-476.
- [3] Pople HE. Heuristic methods for imposing structure on ill-structured problems: the structuring of medical diagnostics. In: Szolovits P, ed. Artificial Intelligence in Medicine. Boulder Colo: Westview Press 1982: 119-190.
- [4] Miller RA, Masarie FE, Myers JD. “Quick Medical Reference“ for diagnostic assistance. MD Comp 1986; 3: 34-48.
- [5] Miller RA, McNeil MA, Challinor S, Masarie FE, Myers JD. Status report: the INTERNIST-1 Quick Medical Reference project. West J Med 1986; 145: 816-822.
- [6] Quick Medical Reference (QMR): an evolving, microcomputer-base diagnostic program for general internal medicine. Proceedings of the Twelfth Annual Symposium on Computer Applications in Medical Care (Demonstration Digest). Washington DC: IEEE Press, 1988.
- [7] Giuse NB, Giuse DA, Miller RA. Medical knowledge base construction as a means of introducing students to medical informatics. Proceedings of the International Symposium on Medical Informatics and Education. Victoria BC 1989: 228-232.
- [8] Miller RA, Schaffner KF. The logic of problem-solving in clinical diagnosis: a course for second-year medical students. J Med Educ 1982; 57: 63-65.
- [9] Miller RA. A computer-based patient case simulator. Clin Res 1984; 32: 651A.
- [10] Parker RC, Miller RA. Using causal knowledge to create simulated patient cases: The CPCS project as an extension of INTERNIST-1. Proceedings of the Eleventh Annual Symposium on Computer Applications in Medical Care. Washington DC: IEEE Press; 1987: 473-480.
- [11] Parker RC, Miller RA. Creation of a knowledge base adequate for simulating patient cases: adding deep knowledge to the INTERNIST-l/QMR knowledge base. Meth Inf Med 1989; 28: 346-351.
- [12] Rennels GD. A Computational Model of Reasoning from the Clinical Literature (Ph. D Dissertation). Stanford Calif: Program in Medical Information Sciences. Stanford University 1986
- [13] Bankowitz RB, McNeil MA, Challinor SM, Miller RA. Effect of a computer-assisted general medicine diagnostic consultation service on housestaff diagnostic strategy. Meth Inf Med 1989; 28: 352-356.