Identifying best practices for clinical decision support and knowledge management in the field

Joan S. Ash, Dean F. Sittig, Richard Dykstra, Adam Wright, Carmit McMullen, Joshua Richardson, Blackford Middleton

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

33 Scopus citations

Abstract

To investigate best practices for implementing and managing clinical decision support (CDS) in community hospitals and ambulatory settings, we carried out a series of ethnographic studies to gather information from nine diverse organizations. Using the Rapid Assessment Process methodology, we conducted surveys, interviews, and observations over a period of two years in eight different geographic regions of the U.S.A. We first utilized a template organizing method for an expedited analysis of the data, followed by a deeper and more time consuming interpretive approach. We identified five major categories of best practices that require careful consideration while carrying out the planning, implementation, and knowledge management processes related to CDS. As more health care organizations implement clinical systems such as computerized provider order entry with CDS, descriptions of lessons learned by CDS pioneers can provide valuable guidance so that CDS can have optimal impact on health care quality.

Original languageEnglish (US)
Title of host publicationMedinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
PublisherIOS Press
Pages806-810
Number of pages5
EditionPART 1
ISBN (Print)9781607505877
DOIs
StatePublished - 2010
Event13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa
Duration: Sep 12 2010Sep 15 2010

Publication series

NameStudies in Health Technology and Informatics
NumberPART 1
Volume160
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other13th World Congress on Medical and Health Informatics, Medinfo 2010
Country/TerritorySouth Africa
CityCape Town
Period9/12/109/15/10

Keywords

  • Clinical
  • Decision support systems
  • Information management
  • Medical order entry systems

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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