Literature DB >> 2695783

Use of the Quick Medical Reference (QMR) program as a tool for medical education.

R A Miller, F E Masarie.   

Abstract

The original goal of the INTERNIST-1 project, as formulated in the early 1970s, was to develop an expert consultant program for diagnosis in general internal medicine. By the early 1980s, it was recognized that the most valuable product of the project was its medical knowledge base (KB). The INTERNIST-1/QMR KB comprehensively summarizes information contained in the medical literature regarding diagnosis of disorders seen in internal medicine. The QMR program was developed to enable its users to exploit the contents of the INTERNIST-1/QMR KB in educationally, clinically, and computationally useful ways. Utilizing commonly available microcomputers, the program operates at three levels--as an electronic textbook, as an intermediate level spreadsheet for the combination and exploration of simple diagnostic concepts, and as an expert consultant program. The electronic textbook contains an average of 85 findings and 8 associated disorders relevant to the diagnosis of approximately 600 disorders in internal medicine. Inverting the disease profiles creates extensive differential diagnosis lists for the over 4250 patient findings known to the system. Unlike a standard printed medical textbook, the QMR knowledge base can be manipulated "on the fly" to format displays that match the information needs of users. Preliminary use of the program for education of medical students and medical house officers at several sites has met with an enthusiastic response.

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Mesh:

Year:  1989        PMID: 2695783

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


  10 in total

1.  Compositional and enumerative designs for medical language representation.

Authors:  A M Rassinoux; R A Miller; R H Baud; J R Scherrer
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

2.  Modeling principles for QMR medical findings.

Authors:  A M Rassinoux; R A Miller; R H Baud; J R Scherrer
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

3.  Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis.

Authors:  Eryu Xia; Wen Sun; Jing Mei; Enliang Xu; Ke Wang; Yong Qin
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

Review 4.  Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.

Authors:  R A Miller
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

Review 5.  Clinical decision support systems in child and adolescent psychiatry: a systematic review.

Authors:  Roman Koposov; Sturla Fossum; Thomas Frodl; Øystein Nytrø; Bennett Leventhal; Andre Sourander; Silvana Quaglini; Massimo Molteni; María de la Iglesia Vayá; Hans-Ulrich Prokosch; Nicola Barbarini; Michael Peter Milham; Francisco Xavier Castellanos; Norbert Skokauskas
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-04-28       Impact factor: 4.785

6.  Radiology Text Analysis System (RadText): Architecture and Evaluation.

Authors:  Song Wang; Mingquan Lin; Ying Ding; George Shih; Zhiyong Lu; Yifan Peng
Journal:  IEEE Int Conf Healthc Inform       Date:  2022-09-08

Review 7.  Teaching and learning methods for new generalist physicians.

Authors:  L Headrick; A Kaufman; P Stillman; L Wilkerson; R Wigton
Journal:  J Gen Intern Med       Date:  1994-04       Impact factor: 5.128

8.  Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network.

Authors:  Zhongliang Yang; Yongfeng Huang; Yiran Jiang; Yuxi Sun; Yu-Jin Zhang; Pengcheng Luo
Journal:  Sci Rep       Date:  2018-04-20       Impact factor: 4.379

9.  Fuzzy constraint-based agent negotiation framework for doctor-patient shared decision-making.

Authors:  Kaibiao Lin; Yong Liu; Ping Lu; Yimin Yang; Haiting Fan; Feiping Hong
Journal:  BMC Med Inform Decis Mak       Date:  2022-08-13       Impact factor: 3.298

10.  Learning a Health Knowledge Graph from Electronic Medical Records.

Authors:  Maya Rotmensch; Yoni Halpern; Abdulhakim Tlimat; Steven Horng; David Sontag
Journal:  Sci Rep       Date:  2017-07-20       Impact factor: 4.379

  10 in total

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