Literature DB >> 16904384

Cognitive factors influencing perceptions of clinical documentation tools.

S Trent Rosenbloom1, Adrienne N Crow, Jennifer Urbano Blackford, Kevin B Johnson.   

Abstract

Identifying healthcare providers' perceptions of clinical documentation methods can inform the design of computer-based documentation tools. The authors investigated the cognitive factors underlying such perceptions by performing a qualitative analysis that included open-ended in-depth interviews of a convenience sample of healthcare providers who use a variety of documentation methods. A total of 16 providers participated in the study; subjects included physicians and nurse practitioners from medical and surgical specialties who used paper- and computer-based documentation tools. Based on interview data, authors identified five factors that influenced satisfaction with clinical documentation tools: document system time efficiency, availability, expressivity, structure, and quality. These factors, if validated by subsequent investigations, can be used to develop a formal conceptual model of providers' perceptions of their satisfaction with various documentation systems.

Mesh:

Year:  2006        PMID: 16904384     DOI: 10.1016/j.jbi.2006.06.006

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


  19 in total

1.  What stands in the way of technology-mediated patient safety improvements?: a study of facilitators and barriers to physicians' use of electronic health records.

Authors:  Richard J Holden
Journal:  J Patient Saf       Date:  2011-12       Impact factor: 2.844

2.  Generating Clinical Notes for Electronic Health Record Systems.

Authors:  S Trent Rosenbloom; William W Stead; Joshua C Denny; Dario Giuse; Nancy M Lorenzi; Steven H Brown; Kevin B Johnson
Journal:  Appl Clin Inform       Date:  2010-01-01       Impact factor: 2.342

3.  Association of Medical Directors of Information Systems consensus on inpatient electronic health record documentation.

Authors:  J Shoolin; L Ozeran; C Hamann; W Bria
Journal:  Appl Clin Inform       Date:  2013-06-26       Impact factor: 2.342

4.  Physician inter-annotator agreement in the Quality Oncology Practice Initiative manual abstraction task.

Authors:  Jeremy L Warner; Peter Anick; Reed E Drews
Journal:  J Oncol Pract       Date:  2013-05       Impact factor: 3.840

5.  Initial Steps toward Validating and Measuring the Quality of Computerized Provider Documentation.

Authors:  Kenric W Hammond; Efthimis N Efthimiadis; Charlene R Weir; Peter J Embi; Stephen M Thielke; Ryan M Laundry; Ashley Hedeen
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

6.  Quantifying clinical data quality using relative gold standards.

Authors:  Michael G Kahn; Brian B Eliason; Janet Bathurst
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  Data from clinical notes: a perspective on the tension between structure and flexible documentation.

Authors:  S Trent Rosenbloom; Joshua C Denny; Hua Xu; Nancy Lorenzi; William W Stead; Kevin B Johnson
Journal:  J Am Med Inform Assoc       Date:  2011-01-12       Impact factor: 4.497

8.  A comparative observational study of inpatient clinical note-entry and reading/retrieval styles adopted by physicians.

Authors:  Rubina F Rizvi; Kathleen A Harder; Gretchen M Hultman; Terrence J Adam; Michael Kim; Serguei V S Pakhomov; Genevieve B Melton
Journal:  Int J Med Inform       Date:  2016-03-02       Impact factor: 4.046

9.  What are they trying to do?: An analysis of Action Identities in using electronic documentation in an EHR.

Authors:  Charlene R Weir; Catherine Staes; Stacey Slager; Teresa Taft; Valiammai Chidambaram; Heidi Kramer; Bruce E Bray; Seneca Perri Moore
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

10.  Integrated Electronic Discharge Summaries-Experience of a Tertiary Pediatric Institution.

Authors:  Daryl R Cheng; Merav L Katz; Mike South
Journal:  Appl Clin Inform       Date:  2018-09-19       Impact factor: 2.342

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