Leveraging social network analysis to improve the implementation of evidence-based practices and systems in healthcare

Priscilla A. Arling, Bradley N. Doebbeling, Rebekah L. Fox

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In healthcare, evidence-based practice (EBP) integrates clinical expertise with the best available external evidence from systematic research. Yet even with the aid of technology, implementation of EBP in many settings remains a challenge. This paper combines research from the fields of healthcare implementation science and social networks to present an integrated framework for the study of EBP-related information systems. We explore the application of the framework to a complex healthcare collaborative, the MRSA infection control project, a project intended to foster the implementation of EBP's to reduce the spread of MRSA infections. We also consider how the framework can be used with other theories, to inform EBP-related information system implementations.

Original languageEnglish (US)
Title of host publicationProceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010
DOIs
StatePublished - Mar 28 2011
Externally publishedYes
Event44th Hawaii International Conference on System Sciences, HICSS-44 2010 - Koloa, Kauai, HI, United States
Duration: Jan 4 2011Jan 7 2011

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Other

Other44th Hawaii International Conference on System Sciences, HICSS-44 2010
CountryUnited States
CityKoloa, Kauai, HI
Period1/4/111/7/11

ASJC Scopus subject areas

  • Engineering(all)

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    Arling, P. A., Doebbeling, B. N., & Fox, R. L. (2011). Leveraging social network analysis to improve the implementation of evidence-based practices and systems in healthcare. In Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010 [5718490] (Proceedings of the Annual Hawaii International Conference on System Sciences). https://doi.org/10.1109/HICSS.2011.285