Enabling health care decisionmaking through clinical decision support and knowledge management

Lobach D, Sanders GD, Bright TJ, Wong A, Dhurjati R, Bristow E, Bastian L, Coeytaux R, Samsa G, Hasselblad V, Williams JW, Wing L, Musty M, Kendrick AS
Record ID 32012000924
English
Authors' objectives: To catalogue study designs used to assess the clinical effectiveness of clinical decision support systems (CDSSs) and knowledge management systems (KMSs), to identify features that impact the success of CDSSs/KMSs, to document the impact of CDSSs/KMSs on outcomes, and to identify knowledge types that can be integrated into CDSSs/KMSs.
Authors' recommendations: Strong evidence shows that CDSSs/KMSs are effective in improving health care process measures across diverse settings using both commercially and locally developed systems. Evidence for the effectiveness of CDSSs on clinical outcomes and costs and KMSs on any outcomes is minimal. Nine features of CDSSs/KMSs that correlate with a successful impact of clinical decision support have been newly identified or confirmed.
Details
Project Status: Completed
Year Published: 2012
URL for additional information: http://www.ahrq.gov/clinic/tp/knowmgttp.htm
English language abstract: An English language summary is available
Publication Type: Not Assigned
Country: United States
MeSH Terms
  • Decision Support Systems, Clinical
  • Knowledge Management
  • Decision Making
Contact
Organisation Name: Agency for Healthcare Research and Quality
Contact Address: Center for Outcomes and Evidence Technology Assessment Program, 540 Gaither Road, Rockville, MD 20850, USA. Tel: +1 301 427 1610; Fax: +1 301 427 1639;
Contact Name: martin.erlichman@ahrq.hhs.gov
Contact Email: martin.erlichman@ahrq.hhs.gov
Copyright: Agency for Healthcare Research and Quality (AHRQ)
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.