Literature DB >> 2662227

The problem-oriented system, problem-knowledge coupling, and clinical decision making.

L L Weed1, N J Zimny.   

Abstract

The information tool to aid us in making the clinical decisions discussed in this presentation is called the PKC. Our goal with patients should be to couple the knowledge of the unique patient to the knowledge in the literature and get the best possible match. This approach requires combinatorial versus probabilistic thinking. In the real world, ideal matches are not found. Therefore, it is critical to exhaust the patient's uniqueness first and only then use probabilities to settle further uncertainties. It is an error to teach people how to deal with uncertainty instead of teaching them to clean up a great deal of the uncertainty first. Patients must be involved in this endeavor. In essence, they have a PhD in their own uniqueness, and it is this uniqueness that is very powerful in solving complex problems. This method of patient evaluation and management cannot be used with the unaided mind. It requires new and powerful information tools like the PKC. All information that is relevant to a problem should be included in the coupler. It should encompass differing points of view, and the rationale should be made explicit to clinician and patient alike. When complete, the coupler should represent an interdisciplinary compilation of questions and tests that are expected to be collected every time in the clinic for the type of problem the coupler represents. This method will provide a basis for quality control because the contents of the coupler now have defined what we expect to occur in every patient encounter.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1989        PMID: 2662227     DOI: 10.1093/ptj/69.7.565

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  6 in total

1.  Handling age specification in the SNOMED CT to ICD-10-CM cross-map.

Authors:  Junchuan Xu; Kin Wah Fung
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

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.  A method and knowledge base for automated inference of patient problems from structured data in an electronic medical record.

Authors:  Adam Wright; Justine Pang; Joshua C Feblowitz; Francine L Maloney; Allison R Wilcox; Harley Z Ramelson; Louise I Schneider; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2011-05-25       Impact factor: 4.497

Review 4.  An Alternative Paradigm for Evidence-Based Medicine: Revisiting Lawrence Weed, MD's Systems Approach.

Authors:  Ali Rafik Shukor
Journal:  Perm J       Date:  2017

Review 5.  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

6.  Effects of Palliative Care Training Program on Knowledge, Attitudes, Beliefs and Experiences Among Student Physiotherapists: A Preliminary Quasi-experimental Study.

Authors:  Senthil P Kumar; Anand Jim; Vaishali Sisodia
Journal:  Indian J Palliat Care       Date:  2011-01
  6 in total

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