Literature DB >> 2695784

Creation of realistic appearing simulated patient cases using the INTERNIST-1/QMR knowledge base and interrelationship properties of manifestations.

R C Parker, R A Miller.   

Abstract

The Internist-1/Quick Medical Reference (QMR) knowledge base (KB) describes the clinical manifestations of some 600 diseases in the domain of internal medicine. This KB, while not representing deep causal modelling of disease processes, is nonetheless effective in providing medical diagnostic assistance through the QMR medical decision support system. One potential application of this extensive KB is the generation of simulated patient cases for use in educating health professionals. However, the "flat" KB is not adequate for this because the clinical manifestations used in the disease descriptions are not mutually independent. While it is theoretically possible to construct disease descriptions which embody pathophysiologic mechanisms of disease causality, it is not practical from the standpoint of resource utilization. Short of constructing a causal knowledge base, the authors herein describe the generation of realistic appearing simulated patient case data using existing information in the knowledge base. This existing information in the KB is in the form of properties which represent a shallow form of interrelationships of the manifestations. The authors conclude that this ability to generate simulated cases represents another view in which to look at an extensive knowledge base, as well as having application to constructing intelligent tutoring systems for health professionals in training.

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Year:  1989        PMID: 2695784

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  7 in total

1.  The clinical data repository: a challenge to medical student education.

Authors:  Michael Altman
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

2.  Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.

Authors:  Xiaoyan Wang; George Hripcsak; Marianthi Markatou; Carol Friedman
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

3.  Virtual epidemic in a virtual city: simulating the spread of influenza in a US metropolitan area.

Authors:  Bruce Y Lee; Virginia L Bedford; Mark S Roberts; Kathleen M Carley
Journal:  Transl Res       Date:  2008-04-03       Impact factor: 7.012

4.  A temporal analysis of QMR.

Authors:  C F Aliferis; G F Cooper; R A Miller; B G Buchanan; R Bankowitz; N Giuse
Journal:  J Am Med Inform Assoc       Date:  1996 Jan-Feb       Impact factor: 4.497

5.  Implementing an interface terminology for structured clinical documentation.

Authors:  Samuel Trent Rosenbloom; Randolph A Miller; Perry Adams; Sina Madani; Naqi Khan; Edward K Shultz
Journal:  J Am Med Inform Assoc       Date:  2013-02-05       Impact factor: 4.497

6.  Integrating QMR with a computer-based patient record.

Authors:  A M van Ginneken; E B Liem; P W Moorman
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

Review 7.  Case-based medical informatics.

Authors:  Stefan V Pantazi; José F Arocha; Jochen R Moehr
Journal:  BMC Med Inform Decis Mak       Date:  2004-11-08       Impact factor: 2.796

  7 in total

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