Three Methods for Aiding Clinical Decision Making

The mathematical techniques to-be presented are intended as aids to the clinician’s decision making.1 The methods to be introduced do not imply that a mathematical model or theory implemented by computer can replace the clinician. The work we are about to discuss shows that decision aids, utilising the clinician’s knowledge and expertise, can improve on unaided judgement and choice. Diagnosis, prognosis and treatment decisions made under conditions of uncertainty and including the clinician’s differential valuation of the consequences of the decisions, can be improved. This extra precision is due to the optimal combination of the information the clinician already possesses rather than the clinician’s access to extra information.

[1]  W B Schwartz,et al.  Sounding board. Decision Analysis: a look at the chief complaints. , 1979 .

[2]  Paul E. Meehl,et al.  A comparison of clinicians with five statistical methods of identifying psychotic MMPI profiles. , 1959 .

[3]  Paul Slovic,et al.  From Shakespeare to Simon: speculations--and some evidence-- about man's ability to process information , 1972 .

[4]  W. Edwards,et al.  Emerging technologies for making decisions , 1965 .

[5]  B. Fischhoff,et al.  Behavioral Decision Theory , 1977 .

[6]  G. Diamond,et al.  Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease. , 1979, The New England journal of medicine.

[7]  Lawrence D. Phillips,et al.  Personality and probabilistic thinking: An exploratory study , 1979 .

[8]  Rex V. Brown,et al.  Decision Analysis for the Manager , 1974 .

[9]  John B. Kidd,et al.  Decision Making and Change in Human Affairs , 1979 .

[10]  Frances K. Graham,et al.  Memory-for-Designs Test: Revised General Manual , 1960 .

[11]  Lawrence D. Phillips,et al.  Bayesian Statistics for Social Scientists. , 1973 .

[12]  G. Gorry,et al.  Decision analysis and clinical judgment. , 1973, The American journal of medicine.

[13]  B. H. Beach Expert judgment about uncertainty: Bayesian decision making in realistic settings. , 1975, Organizational behavior and human performance.

[14]  L. R. Goldberg,et al.  DIAGNOSTICIANS VS. DIAGNOSTIC SIGNS: THE DIAGNOSIS OF PSYCHOSIS VS. NEUROSIS FROM THE MMPI. , 1965, Psychological monographs.

[15]  B. Fischhoff,et al.  I knew it would happen: Remembered probabilities of once—future things , 1975 .

[16]  Robin M. Hogarth,et al.  Cognitive Processes and the Assessment of Subjective Probability Distributions , 1975 .

[17]  P A Emerson,et al.  The application of decision theory to the prevention of deep vein thrombosis following myocardial infarction. , 1974, The Quarterly journal of medicine.

[18]  L. Beach,et al.  Man as an Intuitive Statistician , 2022 .

[19]  Henry R. Neave A Quick and Simple Technique for General Slippage Problems , 1975 .

[20]  R. Dawes,et al.  Linear models in decision making. , 1974 .

[21]  Jay J.J. Christensen-Szalanski,et al.  Physicians' use of probabilistic information in a real clinical setting. , 1981 .

[22]  R M Dawes,et al.  Graduate admission variables and future success. , 1975, Science.

[23]  J. Pliskin,et al.  Decision Analysis in Individual Clinical Decision Making : A Real-World Application in Treatment of Renal Disease , 1976, Methods of Information in Medicine.

[24]  Baruch Fischhoff,et al.  Calibration of Probabilities: The State of the Art , 1977 .

[25]  Howard Raiffa,et al.  Decision analysis: introductory lectures on choices under uncertainty. 1968. , 1969, M.D.Computing.

[26]  Elizabeth C. Hirschman,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.