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

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

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

20 Citations (Scopus)

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 publicationStudies in Health Technology and Informatics
Pages806-810
Number of pages5
Volume160
EditionPART 1
DOIs
StatePublished - 2010
Event13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa
Duration: Sep 12 2010Sep 15 2010

Other

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

Fingerprint

Clinical Decision Support Systems
Knowledge Management
Knowledge management
Health care
Practice Guidelines
Planning
Medical Order Entry Systems
Process Assessment (Health Care)
Quality of Health Care
Community Hospital
Interviews
Delivery of Health Care

Keywords

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

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Ash, J., Sittig, D. F., Dykstra, R., Wright, A., McMullen, C., Richardson, J., & Middleton, B. (2010). Identifying best practices for clinical decision support and knowledge management in the field. In Studies in Health Technology and Informatics (PART 1 ed., Vol. 160, pp. 806-810) https://doi.org/10.3233/978-1-60750-588-4-806

Identifying best practices for clinical decision support and knowledge management in the field. / Ash, Joan; Sittig, Dean F.; Dykstra, Richard; Wright, Adam; McMullen, Carmit; Richardson, Joshua; Middleton, Blackford.

Studies in Health Technology and Informatics. Vol. 160 PART 1. ed. 2010. p. 806-810.

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

Ash, J, Sittig, DF, Dykstra, R, Wright, A, McMullen, C, Richardson, J & Middleton, B 2010, Identifying best practices for clinical decision support and knowledge management in the field. in Studies in Health Technology and Informatics. PART 1 edn, vol. 160, pp. 806-810, 13th World Congress on Medical and Health Informatics, Medinfo 2010, Cape Town, South Africa, 9/12/10. https://doi.org/10.3233/978-1-60750-588-4-806
Ash J, Sittig DF, Dykstra R, Wright A, McMullen C, Richardson J et al. Identifying best practices for clinical decision support and knowledge management in the field. In Studies in Health Technology and Informatics. PART 1 ed. Vol. 160. 2010. p. 806-810 https://doi.org/10.3233/978-1-60750-588-4-806
Ash, Joan ; Sittig, Dean F. ; Dykstra, Richard ; Wright, Adam ; McMullen, Carmit ; Richardson, Joshua ; Middleton, Blackford. / Identifying best practices for clinical decision support and knowledge management in the field. Studies in Health Technology and Informatics. Vol. 160 PART 1. ed. 2010. pp. 806-810
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