Software Reuse Reference Model Approach in Developing an Automated Medical Information System (AMIS) for Improving Health Care Practice

Authors

  • Anil Khatri PhD,

    1. School of Business and Professional Studies, The Johns Hopkins University, Columbia, Md. (Dr. A. Khatri); the Computer Science Department, George Mason University, Fairfax, Va. (Dr. Rine); and Kaiser Permanente, Woodlawn, Md. (Dr. S. Khatri).
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  • David C. Rine PhD,

    1. School of Business and Professional Studies, The Johns Hopkins University, Columbia, Md. (Dr. A. Khatri); the Computer Science Department, George Mason University, Fairfax, Va. (Dr. Rine); and Kaiser Permanente, Woodlawn, Md. (Dr. S. Khatri).
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  • Sadhna Khatri PharmD

    1. School of Business and Professional Studies, The Johns Hopkins University, Columbia, Md. (Dr. A. Khatri); the Computer Science Department, George Mason University, Fairfax, Va. (Dr. Rine); and Kaiser Permanente, Woodlawn, Md. (Dr. S. Khatri).
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Address all correspondence to Dr. Anil Khatri, 8605 Stonehouse Drive, Ellicott City, MD 21043.

Abstract

Objective.—To evaluate patient acceptance of an automated medical information system specific to headache.

Background.—Studies suggest that automated tools may help health care delivery systems to be efficient and effective, but patient satisfaction remains a major concern.

Methods.—We adapted our software reuse reference model and Unified Modeling Language to apply the domain model to the headache population. Patients with headache were tested both to validate the system and to evaluate patient satisfaction and headache management with an automated system.

Results.—The mean age of all study participants was 44 years. Over 95% of the participants were satisfied or strongly satisfied with the Automated Medical Information System.

Conclusions.—The results strongly suggest that patients are willing and able to use nontraditional sources, such as the Automated Medical Information System, to learn about their illnesses.

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