Literature DB >> 779466

Towards the simulation of clinical cognition. Taking a present illness by computer.

S G Pauker, G A Gorry, J P Kassirer, W B Schwartz.   

Abstract

Remarkably little is known about the cognitive processes which are employed in the solution of clinical problems. This paucity of information is probably accounted for in large part by the lack of suitable analytic tools for the study of the physician's thought processes. Here we report on the use of the computer as a laboratory for the study of clinical cognition. Our experimental approach has consisted of several elements. First, cognitive insights gained from the study of clinicians' behavior were used to develop a computer program designed to take the present illness of a patient with edema. The program was then tested with a series of prototypical cases, and the present illnesses generated by the computer were compared to those taken by the clinicians in our group. Discrepant behavior on the part of the program was taken as a stimulus for further refinement of the evolving cognitive theory of the present illness. Corresponding refinements were made in the program, and the process of testing and revision was continued until the program's behavior closely resembled that of the clinicians. The advances in computer science that made this effort possible include "goal-directed" programming, pattern-matching and a large associative memory, all of which are products of research in the field known as "artificial intelligence". The information used by the program is organized in a highly connected set of associations which is used to guide such activities as checking the validity of facts, generating and testing hypotheses, and constructing a coherent picture of the patient. As the program pursues its interrelated goals of information gathering and diagnosis, it uses knowledge of diseases and pathophysiology, as well as "common sense", to dynamically assemble many small problem-solving strategies into an integrated history-taking process. We suggest that the present experimental approach will facilitate accomplishment of the long-term goal of disseminating clinical expertise via the computer.

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Year:  1976        PMID: 779466     DOI: 10.1016/0002-9343(76)90570-2

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  35 in total

Review 1.  A primer on aspects of cognition for medical informatics.

Authors:  V L Patel; J F Arocha; D R Kaufman
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

2.  Three decades of research on computer applications in health care: medical informatics support at the Agency for Healthcare Research and Quality.

Authors:  J Michael Fitzmaurice; Karen Adams; John M Eisenberg
Journal:  J Am Med Inform Assoc       Date:  2002 Mar-Apr       Impact factor: 4.497

Review 3.  Knowledge bases in medicine: a review.

Authors:  C A Perry
Journal:  Bull Med Libr Assoc       Date:  1990-07

4.  Evolution of a mature clinical informationist model.

Authors:  Nunzia B Giuse; Taneya Y Koonce; Rebecca N Jerome; Molynda Cahall; Nila A Sathe; Annette Williams
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

Review 5.  Interface terminologies: facilitating direct entry of clinical data into electronic health record systems.

Authors:  S Trent Rosenbloom; Randolph A Miller; Kevin B Johnson; Peter L Elkin; Steven H Brown
Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

6.  Googling for a diagnosis--use of Google as a diagnostic aid: internet based study.

Authors:  Hangwi Tang; Jennifer Hwee Kwoon Ng
Journal:  BMJ       Date:  2006-11-10

7.  AI/Consult: a prototype directed history system based upon the AI/Rheum knowledge base.

Authors:  R S Kaplan
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

8.  The information paradox.

Authors:  K G Sweeney
Journal:  Occas Pap R Coll Gen Pract       Date:  1998-04

9.  Computers and medical decision making.

Authors:  E V Dunn
Journal:  Can Fam Physician       Date:  1984-04       Impact factor: 3.275

10.  What clinical information do doctors need?

Authors:  R Smith
Journal:  BMJ       Date:  1996-10-26
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