Literature DB >> 12415722

Patients' and physicians' understanding of health and biomedical concepts: relationship to the design of EMR systems.

Vimla L Patel1, José F Arocha, André W Kushniruk.   

Abstract

OBJECTIVE: The aim of this paper is to examine knowledge organization and reasoning strategies involved in physician-patient communication and to consider how these are affected by the use of computer tools, in particular, electronic medical record (EMR) systems.
DESIGN: In the first part of the paper, we summarize results from a study in which patients were interviewed before their interactions with physicians and where physician-patient interactions were recorded and analyzed to evaluate patients' and physicians' understanding of the patient problem. We give a detailed presentation of one of such interaction, with characterizations of physician and patient models. In a second set of studies, the contents of both paper and EMRs were compared and in addition, physician-patient interactions (involving the use of EMR technology) were video recorded and analyzed to assess physicians' information gathering and knowledge organization for medical decision-making.
RESULTS: Physicians explained the patient problems in terms of causal pathophysiological knowledge underlying the disease (disease model), whereas patients explained them in terms of narrative structures of illness (illness model). The data-driven nature of the traditional physician-patient interaction allows physicians to capture the temporal flow of events and to document key aspects of the patients' narratives. Use of electronic medical records was found to influence the way patient data were gathered, resulting in information loss and disruption of temporal sequence of events in assessing patient problem.
CONCLUSIONS: The physician-patient interview allows physicians to capture crucial aspects of the patient's illness model, which are necessary for understanding the problem from the patients' perspective. Use of computer-based patient record technology may lead to a loss of this relevant information. As a consequence, designers of such systems should take into account information relevant to the patient comprehension of medical problems, which will influence their compliance.

Entities:  

Mesh:

Year:  2002        PMID: 12415722     DOI: 10.1016/s1532-0464(02)00002-3

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  26 in total

1.  Evaluation of family history information within clinical documents and adequacy of HL7 clinical statement and clinical genomics family history models for its representation: a case report.

Authors:  Genevieve B Melton; Nandhini Raman; Elizabeth S Chen; Indra Neil Sarkar; Serguei Pakhomov; Robert D Madoff
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

2.  Gradual electronic health record implementation: new insights on physician and patient adaptation.

Authors:  Renée R Shield; Roberta E Goldman; David A Anthony; Nina Wang; Richard J Doyle; Jeffrey Borkan
Journal:  Ann Fam Med       Date:  2010 Jul-Aug       Impact factor: 5.166

3.  End-user support for primary care electronic medical records: a qualitative case study of users' needs, expectations and realities.

Authors:  Aviv Shachak; Catherine Montgomery; Rustam Dow; Jan Barnsley; Karen Tu; Alejandro R Jadad; Louise Lemieux-Charles
Journal:  Health Syst (Basingstoke)       Date:  2013-11-01

4.  Exploring and developing consumer health vocabularies.

Authors:  Qing T Zeng; Tony Tse
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

5.  Document ontology: supporting narrative documents in electronic health records.

Authors:  Jason S Shapiro; Suzanne Bakken; Sookyung Hyun; Genevieve B Melton; Cara Schlegel; Stephen B Johnson
Journal:  AMIA Annu Symp Proc       Date:  2005

6.  You and me and the computer makes three: variations in exam room use of the electronic health record.

Authors:  Jason J Saleem; Mindy E Flanagan; Alissa L Russ; Carmit K McMullen; Leora Elli; Scott A Russell; Katelyn J Bennett; Marianne S Matthias; Shakaib U Rehman; Mark D Schwartz; Richard M Frankel
Journal:  J Am Med Inform Assoc       Date:  2013-09-03       Impact factor: 4.497

7.  Consumer health concepts that do not map to the UMLS: where do they fit?

Authors:  Alla Keselman; Catherine Arnott Smith; Guy Divita; Hyeoneui Kim; Allen C Browne; Gondy Leroy; Qing Zeng-Treitler
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

Review 8.  A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014-2015.

Authors:  K Zheng; J Abraham; L L Novak; T L Reynolds; A Gettinger
Journal:  Yearb Med Inform       Date:  2016-11-10

9.  A classification of errors in lay comprehension of medical documents.

Authors:  Alla Keselman; Catherine Arnott Smith
Journal:  J Biomed Inform       Date:  2012-08-20       Impact factor: 6.317

10.  Office-Based Tools and Primary Care Visit Communication, Length, and Preventive Service Delivery.

Authors:  Jennifer Elston Lafata; L Aubree Shay; Richard Brown; Richard L Street
Journal:  Health Serv Res       Date:  2015-08-07       Impact factor: 3.402

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