Literature DB >> 18316247

Evaluating collaborative features of critical care systems: a methodological study of information technology in surgical intensive care units.

Madhu C Reddy1, M Michael Shabot, Erin Bradner.   

Abstract

PURPOSE: This study evaluates the collaborative features of a critical care system, CV, used in a surgical intensive care unit (SICU). In the evaluation, we take a socio-technical perspective--a view that the technical features of the system and social features of the work are fundamentally interrelated.
METHODS: We utilized qualitative data collection and analysis methods. We undertook seven months of observations and conducted more than thirty interviews of healthcare providers in the SICU.
RESULTS: We found that there are a wide variety of collaborative activities such as morning rounds and medication administration that a critical care system must support. We further found that CV supports healthcare providers by providing them awareness of others' activities. DISCUSSION: We discuss the issue of awareness in greater detail. We also provide some recommendations on how to evaluate how well a system supports collaborative features such as multiple perspectives on information, workflow dependences, and context.

Mesh:

Year:  2008        PMID: 18316247     DOI: 10.1016/j.jbi.2008.01.004

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


  5 in total

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2.  Electronic exchange of discharge summaries between hospital and municipal care from health personnel's perspectives.

Authors:  Line Melby; Ragnhild Hellesø
Journal:  Int J Integr Care       Date:  2010-04-21       Impact factor: 5.120

3.  Identification and management of information problems by emergency department staff.

Authors:  Alison R Murphy; Madhu C Reddy
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

Review 4.  Review of Social and Organizational Issues in Health Information Technology.

Authors:  Craig E Kuziemsky
Journal:  Healthc Inform Res       Date:  2015-07-31

5.  Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment.

Authors:  David C Mohr; Aaron R Lyon; Emily G Lattie; Madhu Reddy; Stephen M Schueller
Journal:  J Med Internet Res       Date:  2017-05-10       Impact factor: 5.428

  5 in total

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