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Intelligent medical record—Entry (IMR-E)

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Abstract

This paper describes an automated medical record designed to allow providers to enter patient data at the point of care. The system runs on PCs and Macintoshes and uses a graphical user interface and object-oriented programming to take advantage of current mouse and pen technologies. The provider acquires all relevant patient data by pointing and clicking at selections on input screens, many of which contain anatomical drawings to help the provider quickly and accurately describe patient findings. The system also generates a grammatically correct progress note using the problem-oriented structure. Furthermore, items identified in the assessment and plans portion of the program can be ported to expert systems for medical decision assistance or to billing systems. The system allows the provider to obtain the necessary information on a focused patient visit in less than 5 min or to enter a complete history and physical.

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References

  1. Ben-Bassat, M., Multimembership and multiperspective Classification: Introduction, applications, and a Bayesian model. IEEE Transactions on System, Man, and Cybernetics, June 1980; SMC-ID 6:331–336.

    Google Scholar 

  2. Naeymi-Rad, F., Koschmann, T., Lee, C.M., Kepic, T., Evens, M., and Weil, M.H., Maintaining a Knowledge Base Using the MEDAS Knowledge Engineering Tools. Symposium on Computer Applications in Medical Care, November 1985, 298–303.

  3. Koschmann, T., Evens, M., Naeymi-Rad, F., Lee, C.M., and Weil, M.H., Knowledge engineering tools for a Bayesian diagnostic consultant. Symposium on Computer Applications in Medical Care, November 1985; 274–280.

  4. Weed, L.L.,Medical Records, Medical Education and Patient Care, Case Western Reserve University, Cleveland Press, Philadelphia, 1969.

    Google Scholar 

  5. Feinstein, A.R., The problems of the problem oriented medical record.Ann. Intern. Med. 78:751–762, 1973.

    Google Scholar 

  6. Switz, D.M., The problem-oriented medical record: Evaluation and management of anemia before and during use.Arch. Intern. Med. 136(10):1119–1123, 1976.

    Google Scholar 

  7. Barnett, G.O., The application of computer-based medical record systems in ambulatory practice.N. Engl. J. Med. 310(25):1643–1650, 1984.

    Google Scholar 

  8. Weed, L.L., Quality control and the medical record.Arch. Intern. Med. 310(25):101–105, 1971.

    Google Scholar 

  9. Studney, D.R., and Hakstian, A.R., A comparison of medical record with billing diagnostic information associated with ambulatory medical care.Am. J. Pub. Health 71(2):145–149, 1981.

    Google Scholar 

  10. Demlo, L.K., Campbell, P.M., and Brown, S.S., Reliability of information abstracted from patients medical records.Med. Care 16(12):995–1005, 1978.

    Google Scholar 

  11. Doremus, H.D., and Michenzi, E.M., Data quality: An illustration of its potential impact upon a diagnosis-related group's case mix index and reimbursement.Med. Care 21(10):1001–1011, 1983.

    Google Scholar 

  12. Revicki, D.A., The dependability of medical encounter diagnostic information.Med. Care 22(7):611–669, 1984.

    Google Scholar 

  13. Dove, H.G., Gifford, R., and Schneider, K.C., The trips of slips: Time delays in laboratory and x-ray data for outpatients in a teaching hospital.JAMA 243(5):537–539, 1980.

    Google Scholar 

  14. Romm, F.J., and Putnam, S.M., The validity of the medical record.Med. Care 19(3):310–315, 1981.

    Google Scholar 

  15. Brewster, M.A., and Heim, M.A., Adverse pregnancy outcomes: Information from the medical record.Ann. Clin. Lab. Sci. 15(6):470–474, 1985.

    Google Scholar 

  16. Westgren, M., Divon, M., Greenspoon, J., and Paul, R., Missing hospital records. A confounding variable in retrospective studies.Am. J. Obstet. Gynecol. 155(2):269–271, 1986.

    Google Scholar 

  17. Kiely, J.M., Juergens, J.L., Hisey, B.L., and Williams, P.E., A computer based medical record entry of data from the history and physical exam by the physician.JAMA 205(8):571–576, 1968.

    Google Scholar 

  18. McDonald, C., Blevins, L., Glazenec, T., Haas, J., Lemmon, L., and Meeks-Johnson, J., Data base management, feedback control and the regenstrief medical record.J. Med Syst. 7(2):111–125, 1983.

    Google Scholar 

  19. McDonald, C.J., Hul, S.L., Smith, D.M., Tierney, W.M., Cohen, S.J., Weinberger, M., and McCabe, G.P., Reminders to physicians from an introspective computer medical record: A two-year randomized trial.Ann. Intern. Med. 100(1):130–138, 1984.

    Google Scholar 

  20. McDonald, C.J., Wilson, G.A., and McCabe, B.P., Jr., Physician response to computer reminders.JAMA 244(4):1579–1581, 1980.

    Google Scholar 

  21. Wilson, G.A., McDonald, C.J., and McCabe, G.P., Jr., The effect of immediate access to a computerized medical record on physician test ordering: A controlled clinical trial in the emergency room.Am. J. Pub. Health 72(7):698–702, 1982.

    Google Scholar 

  22. Pollack, V.E., Computerization of the medical record: Use in care of patients with end-stage renal disease.Kidney Int. 24(4):464–473, 1984.

    Google Scholar 

  23. Barnett, G.O., Winickoff, R.N., Morgan, M.M., and Zielstorff, R.D., A computer-based monitoring system for follow-up of elevated blood pressure.Med. Care 21(4):400–409, 1983.

    Google Scholar 

  24. Whiting-O'Keefe, Q.E., Simborg, D.W., and Epstein, W.V., A controlled experiment to evaluate the use of a time-oriented summary medical record.Med. Care 18(8):842–852, 1980.

    Google Scholar 

  25. Evans, R.S., Gardner, R.M., Bush, A.R., Burke, J.P., Jacobson, Y.A., Larsen, R.A., Meier, F.A., and Warner, H.R., Development of a computerized infectious disease monitor (CIDM).Comput. Biomed. Res. 18(2):103–113, 1985.

    Google Scholar 

  26. Warner, H.R., First the electrocardiogram—Then what?: A system for decision making by computer.Am. J. Cardiol. 41(1):115–118, 1978.

    Google Scholar 

  27. Fessel, W.J., and Van-Brunt, E.E., Assessing quality of care from the medical record.N. Engl. J. Med. 286(3):134–138, 1972.

    Google Scholar 

  28. Meldman, M.J., Harris, D., Pellicore, R.J., and Johnson, E.L., A computer-assisted, goal oriented psychiatric progress note system.Am. J. Psych. 134(1):38–41, 1977.

    Google Scholar 

  29. Payne, B.C., The medical record as a basis for assessing physician competence.Ann. Intern. Med. 91(4):623–629, 1979.

    Google Scholar 

  30. Bischoff, M.E., Shortliffe, E.H., Scott, A.C., Carlson, R.W., and Jacobs, C.D., Integration of a computer based consultant into a clinical setting. Proc. 7th S.C.A.M.C., pp. 149–152, 1983.

  31. Stead, W.W., Garrett, L.E., Jr., and Hammond, W.E., Practicing nephrology with a computerized medical record.Kidney Int. 24(4):446–454, 1983.

    Google Scholar 

  32. Whiting-O'Keefe, Q.E.,Simborg, D.N., Epstein, W.V., and Warger, A., A computerized summary medical record system can provide more information that the standard medical report.JAMA 254:1185–1192, 1985.

    Google Scholar 

  33. Rogers, J.L., Haring, O.M., Worthan, P.M., Watson, R.A., and Goetz, J.P., Medical information systems: Assessing impact in the areas of hypertension, obesity and renal disease.Med. Care 20(1):63–74, 1982.

    Google Scholar 

  34. Rose, G., and Barter, D.J.: Prognosis and Outcome.Br. Med. J. 2(6148):1355–1356, 1978.

    Google Scholar 

  35. Newcombe, H.B., The use of medical record linkage for population and genetic studies.Methods Info. Med. 8(1):7–11, 1969.

    Google Scholar 

  36. Roos, L.L., Jr., Wajda, A., and Nicol, J.P., The art and science of record linkage: Methods that work with few identifiers.Comput. Biol. Med. 16(1):45–47, 1986.

    Google Scholar 

  37. Beebe, G.W., Record linkage system—Canada vs. the United Staes (editorial).Am. J. Publ. Health 70(12):1246–1248, 1980.

    Google Scholar 

  38. Gittelsohn, A., and Senning, J., Studies on the reliability of vital and health records I: Comparison of cause of death and hospital record diagnosis.Am. J. Publ. Health 69(7):680–689, 1979.

    Google Scholar 

  39. Horwitz, R.I., Comparison of epidemiological data from multiple sources.J. Chronic Dis. 39(11):889–896, 1986.

    Google Scholar 

  40. Feigel, P., Breslow, N.E., Laszlo, J., Priore, R.L., and Taylor, W.F., U.S. centralized cancer data system for uniform communication among cancer centers.J. Clin. Invest. 67(5):1017–1024, 1981.

    Google Scholar 

  41. Trace, D., Evens, M., Naeymi-Rad, F., and Carmony, L., Medical information management: The MEDAS approach. Symposium on Computer Applications in Medical Care, Washington, DC, pp. 635–639, 1990.

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Trace, D., Naeymi-Rad, F., Haines, D. et al. Intelligent medical record—Entry (IMR-E). J Med Syst 17, 139–151 (1993). https://doi.org/10.1007/BF00996938

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