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    • Medical Diagnosis
      • Diagnostic Problem Solving
      • Conceptual Basis of Diagnosis
      • Problems of Medical Diagnosis
      • Clinical Diagnostic Reasoning
      • Mathematical Background of Medical Diagnosis
    • Medical Decision-Support Systems
      • The Definition of Medical Decision-Support Systems
      • The Function of Medical Decision-Support Systems
      • The Potential Benefits of Medical Decision-Support Systems
      • Types of Medical Decision-Support Systems
      • Historical Overview
      • International Experiences
      • The Evidence for Benefits from Using Medical Decision-Support Systems
      • Characteristics of Successful Medical Decision-Support Systems
      • Barriers to Successful Implantation of Medical Decision-Support Systems
      • Ethical Principles for Appropriate Use of Decision-Support Systems
      • Evaluation of Medical Decision-Support Systems
    • Medical Diagnosis Modeling
      • Formal Theories of Medical Diagnosis
      • Uncertainty in Medical Decision Making
      • Mathematical Models for Medical Diagnosis
      • A Model of Differential Diagnosis in Internal Medicine
    • Medical Knowledge Representation
      • What Is a Knowledge Representation
      • A View of Medical Knowledge
      • The Basis of Medical Knowledge Representation
      • Problems Regarding Medical Knowledge Representation
      • Uncertainty in Medical Knowledge
      • A Medical Knowledge Representation Method Based on Relations
      • The Problem of Medical Knowledge Scale
    • Avicenna Overview And Objectives
      • Avicenna Model for Medical Diagnosis
      • Avicenna Software Description
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Uncertainty in Medical Decision Making

Uncertainty is the central, critical fact about medical reasoning. Patients cannot describe exactly what has happened to them or how they feel, doctors and nurses cannot tell exactly what they observe, laboratories report results only with some degree of error, physiologists do not understand precisely how the human body works, medical researchers cannot precisely characterize how diseases alter the normal functioning of the body, pharmacologists do not fully understand the mechanisms accounting for the effectiveness of drugs, and no one can precisely determine one’s prognosis.

Nevertheless, every healthcare professional must make important decisions about testing and treatments and despite all the uncertainties about the bases for those decisions, the decisions themselves must be definitive. Hence, physicians generally seek means to relieve these uncertainties, e.g., one typical approach is temporizing: putting off the fi¬nal decision and hoping that additional information will evolve to make the decision more straightforward. Another approach is buying additional information by performing less risky or costly tests that help to reduce the uncertainties in the more critical decision.

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جستجو

پیوندها

  • Society for Medical Decision Making
  • National Library of Medicine
  • MIT OpenCourseWare
  • The Merck Manual
  • OpenClinical

بایگانی

  • آبان ۱۳۸۸
  • مهر ۱۳۸۸
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