Perspectives for Computers and Medical Education

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Information Transfer: New Age — New Ways

Abstract

During the past two decades computer-assisted instruction (CAI) has evolved from tutoring systems, which facilitate the acquisition of academic knowledge to simulation systems, which intend to develop the experience knowledge by presenting artificial cases to the student for discussion and management. Those two generations have largely benefited from the development of micro-computers, hypermedia and artificial intelligence techniques. They represent the standard of current CAI. But they are still at a distance of the ultimate goal of medicine, which is to improve the patient’s condition. Bringing CAI at the patient side (i.e., in the physician’s office or at the bed side) opens the way for a third generation of CAI that can be called collaborative assistants. Such systems should be able to provide the right knowledge and expertise at the right time and place, thus allowing the physician to take the best decisions. They become technologically feasible with the development of multimedia workstations, communication networks, medical standards for terminology and message communication and software engineering tools. These perspectives should not lead to over-optimistic conclusions until the barriers to the development and dissemination of CAI should be overcome. But transforming present CAI devoted to the restricted period of medical studies to lifelong education programs integrated in the health care process is the challenge of effective CAI.

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References

  1. AAMC. Physicians for the 21st Century. Report; General Professional Education of the Physician. Washington, DC: AAMC, 1984.

    Google Scholar 

  2. Grémy E Crisis of meaning and guidelines for medical informatics education. Meth Inform Med 1989; 28 (4): 189–195.

    Google Scholar 

  3. Trocmé-Fabre H. J’apprends, donc je suis. Paris: Les Editions d’Organisation, 1987.

    Google Scholar 

  4. Manning PR, Lee PV, Denson TA, Gilman NJ. Determining educational needs in the physician’s office. JAMA; 244(10): 1112–5.

    Article  Google Scholar 

  5. Manning PR, Petit DW. The past, present and future of continuing medical education. Achievements and opportunities, computers and recertification. JAMA 1987; 258 (24): 3542–6.

    Article  Google Scholar 

  6. Ball MJ, Douglas JV, Zimmerman JL. Informatics education and the professions. J Am Soc Inform Science 1989; 40 (5): 368–377.

    Article  Google Scholar 

  7. Lyon HC, Soltanianzadeh H, Hohnloser J et al. Significant efficiency findings from research on computer-based interactive medical education programs for teaching clinical reasoning. In: Lun KC, Degoulet P, Piemme T, Rienhoff O (eds). MEDINFO 92. Amsterdam: North-Holland 1992, pp. 1088–94.

    Google Scholar 

  8. Chen CC, Hoffer PB, Swett HA. Hypermedia in radiology: computer-assisted education. J Digit Imaging 1989; 2 (1): 48–55.

    Article  Google Scholar 

  9. McArthur JR, Bolles JR, Fine J, Kidd P, Bessis M. Interactive computer-video for health sciences education. Methods Inf Med 1989; 28 (4): 360–3.

    Google Scholar 

  10. Miller RA, Masarie FE. Use of the Quick Medical Reference (QMR) program as a tool for medical education. Meth Inform Med 1989; 28 (4): 340–345.

    Google Scholar 

  11. Polson MC, Richardson JJ (eds). Foundations of intelligent tutoring systems. Hillsdale, NJ: Lawrence Erlbaum Associate 1988.

    Google Scholar 

  12. Dreyfus HL. What computer can’t do. The limits of artificial intelligence. New York, NY: Harper & Row 1979.

    Google Scholar 

  13. Greens RA. A building block approach to application development for education and decision support in radiology: implications for integrated clinical information systems environments. J Digit Imaging 1991; 4 (4): 213–25.

    Article  Google Scholar 

  14. Degoulet P, Jean FC, Jaulent MC. Software engineering environments for HIS applications. In: Trends in Modern Hospital Information Systems. Bakker AR, Ehlers CT, Bryant JR, Hammond WE (eds). Amsterdam: North-Holland 1992; pp. 149–156.

    Google Scholar 

  15. Levy AH. Experiences with PLATO in medical education. In: Pagès JC, Levy AH, Grémy F, Anderson J (eds). Amsterdam: North-Holland 1983; pp. 201–6.

    Google Scholar 

  16. Levy AH. Factors affecting computer-medicated instruction in medical education. Meth Inform Med 1989; 28 (4): 215–222.

    Google Scholar 

  17. Boyer JF, Blondel FM, Salame N et al. Evolution of a computer based study training system. In: MEDINFO 77. Shires DB and Wolf H (eds). Amsterdam: North-Holland 1977; pp. 857–861.

    Google Scholar 

  18. Redfield CL, Steuck K. The future of intelligent tutoring systems. In: Burns H, Parlett JW, Redfield CL. Intelligent Tutoring Systems. Evolutions in Design. Hillsdale, NJ: Lawrence Erlbaum Associates 1991; pp. 265–284.

    Google Scholar 

  19. Widgton RS, Poses RM, Collins M, Cebul RD. Teaching old dogs new tricks: using cognitive feedback to improve physicians’ diagnostic judgements on simulated cases. Acad Medicine 1990; 65(9) S5–S6.

    Article  Google Scholar 

  20. Bergeron BP, Greenes RA. Modeling and simulation in medicine: the state of the art. In: Proc. 12th Annual SCAMC. R Greenes (ed). Washington, DC: IEEE 1988; pp. 282–6.

    Google Scholar 

  21. Cundick R, Turner CW, Lincoln MJ, Buchanan JP, Anderson C, Warner H, Bouhaddou O. In: Proc 13th SCAMC. Washington, DC: IEEE 1989; pp. 902–6.

    Google Scholar 

  22. Weed LL. Knowledge Coupling. New premises and new tools for medical care and education. New-York: Springer-Verlag, 1991.

    Book  Google Scholar 

  23. Pryor TA, Clayton PD, Haug PJ, Wigertz O. Design of a knowledge driven HIS. In: Proc. 11th SCAMC. WW Stead (ed). Washington, DC: IEEE. 1987; pp. 60–3.

    Google Scholar 

  24. Hendrickson G, Anderson RK, Clayton PD, Cimino J, Hripcsak GM, Johnson SB, McCormack M, Sengupta S, Shea S, Sideli R, Roderer N. The Integrated Academic Information Management System at Columbia-Presbyterian Medical Center. MD Computing 1992; 9 (1): 35–42.

    Google Scholar 

  25. Lindberg DAB. Information systems to support medical practice and scientific discovery. Meth Inform Med 1989; 28 (4): 202–206.

    Google Scholar 

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© 1993 Springer Science+Business Media Dordrecht

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Degoulet, P., Fieschi, M. (1993). Perspectives for Computers and Medical Education. In: Bakker, S., Cleland, M.C. (eds) Information Transfer: New Age — New Ways. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1668-8_10

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  • DOI: https://doi.org/10.1007/978-94-011-1668-8_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4729-6

  • Online ISBN: 978-94-011-1668-8

  • eBook Packages: Springer Book Archive

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