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Computer-Assisted Medical Decision Making

  • James A. Reggia
  • Stanley Tuhrim

Part of the Computers and Medicine book series (C+M)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Rule-Based Systems

    1. Randall Davis, Bruce Buchanan, Edward Shortliffe
      Pages 3-37
    2. Stuart M. Speedie, Francis B. Palumbo, David A. Knapp, Robert Beardsley
      Pages 63-72
  3. Cognitive Models

    1. Jerome P. Kassirer, G. Anthony Gorry
      Pages 85-107
    2. Stephen G. Pauker, G. Anthony Gorry, Jerome P. Kassirer, William B. Schwartz
      Pages 108-138
    3. Randolph A. Miller, Harry E. Pople Jr., Jack D. Myers
      Pages 139-158
    4. James A. Reggia, Dana S. Nau, Pearl Y. Wang
      Pages 159-185
  4. Related Issues

    1. James A. Reggia, Thaddeus P. Pula, Thomas R. Price, Barry T. Perricone
      Pages 214-238
    2. Werner Horn, Walter Buchstaller, Robert Trappl
      Pages 239-244
    3. William R. Swartout
      Pages 254-271
    4. Ramesh S. Patil, Peter Szolovits, William B. Schwartz
      Pages 272-292
  5. Back Matter
    Pages 293-296

About this book

Introduction

Computer technology has impacted the practice of medicine in dramatic ways. Imaging techniques provide noninvasive tools which alter the diag­ nostic process. Sophisticated monitoring equipment presents new levels of detail for both patient management and research. In most of these high technology applications, the computer is embedded in the device; its presence is transparent to the user. There is also a growing number of applications in which the health care provider directly interacts with a computer. In many cases, these appli­ cations are limited to administrative functions, e.g., office practice man­ agement, location of hospital patients, appointments, and scheduling. Nevertheless, there also are instances of patient care functions such as results reporting, decision support, surveillance, and reminders. This series, Computers and Medicine, will focus upon the direct use of information systems as it relates to the medical community. After twenty-five years of experimentation and experience, there are many tested applications which can be implemented economically using the current generation of computers. Moreover, the falling cost of computers suggests that there will be even more extensive use in the near future. Yet there is a gap between current practice and the state-of-the-art.

Keywords

Hospital Notarztinformationssystem Radiologieinformationssystem artificial intelligence calculus care computer database diagnosis expert system management medicine patients scheduling simulation

Editors and affiliations

  • James A. Reggia
    • 1
  • Stanley Tuhrim
    • 1
  1. 1.Department of NeurologyUniversity of Maryland HospitalBaltimoreUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-5108-8
  • Copyright Information Springer-Verlag New York 1985
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-9567-9
  • Online ISBN 978-1-4612-5108-8
  • Series Print ISSN 1431-1909
  • Buy this book on publisher's site