Literature DB >> 10550032

Problem Knowledge Couplers: reengineering evidence-based medicine through interdisciplinary development, decision support, and research.

J J McGowan1, P Winstead-Fry.   

Abstract

The rapid growth of medical knowledge is creating a demand for new ways of providing information in support of evidence-based medical practice. Problem Knowledge Couplers are a clinical decision support software tool that offer a new approach to this growing problem. Couplers are developed through a collaboration among clinicians, informaticians, and librarians. They recognize that functionality must be predicated upon combining unique patient information, gleaned through relevant structured question sets, with the appropriate knowledge found in the world's peer-reviewed medical literature. Two pilot studies indicate that couplers can meet the gold standards of decision making within both a primary care and a specialty practice. Issues remain about how to best integrate Problem Knowledge Couplers into clinical practice and whether large-scale outcomes research will support the findings of pilot studies. However, Problem Knowledge Couplers represent a promising approach that might portend a new model for health care delivery in the next millennium.

Entities:  

Mesh:

Year:  1999        PMID: 10550032      PMCID: PMC226622     

Source DB:  PubMed          Journal:  Bull Med Libr Assoc        ISSN: 0025-7338


  12 in total

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  3 in total

1.  Health information outreach: the land-grant mission.

Authors:  J J McGowan
Journal:  Bull Med Libr Assoc       Date:  2000-10

2.  Bringing science to medicine: an interview with Larry Weed, inventor of the problem-oriented medical record.

Authors:  Adam Wright; Dean F Sittig; Julie McGowan; Joan S Ash; Lawrence L Weed
Journal:  J Am Med Inform Assoc       Date:  2014-05-28       Impact factor: 4.497

3.  The Use of Evidence-Based, Problem-Oriented Templates as a Clinical Decision Support in an Inpatient Electronic Health Record System.

Authors:  Raj Mehta; Nila S Radhakrishnan; Carrie D Warring; Ankur Jain; Jorge Fuentes; Angela Dolganiuc; Laura S Lourdes; John Busigin; Robert R Leverence
Journal:  Appl Clin Inform       Date:  2016-08-17       Impact factor: 2.342

  3 in total

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