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Research article summary (published 19 Sep 2007):
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Grand challenges in clinical decision support.

Full Abstract

There is a pressing need for high-quality, effective means of designing, developing, presenting, implementing, evaluating, and maintaining all types of clinical decision support capabilities for clinicians, patients and consumers. Using an iterative, consensus-building process we identified a rank-ordered list of the top 10 grand challenges in clinical decision support. This list was created to educate and inspire researchers, developers, funders, and policy-makers. The list of challenges in order of importance that they be solved if patients and organizations are to begin realizing the fullest benefits possible of these systems consists of: improve the human-computer interface; disseminate best practices in CDS design, development, and implementation; summarize patient-level information; prioritize and filter recommendations to the user; create an architecture for sharing executable CDS modules and services; combine recommendations for patients with co-morbidities; prioritize CDS content development and implementation; create internet-accessible clinical decision support repositories; use freetext information to drive clinical decision support; mine large clinical databases to create new CDS. Identification of solutions to these challenges is critical if clinical decision support is to achieve its potential and improve the quality, safety and efficiency of healthcare.

 

Author information

Author/s: Sittig, Dean F (DF); Wright, Adam (A); Osheroff, Jerome A (JA); Middleton, Blackford (B); Teich, Jonathan M (JM); Ash, Joan S (JS); Campbell, Emily (E); Bates, David W (DW);

Affiliation: Department of Medical Informatics, Northwest Permanente, PC, Portland, OR, USA. dean.f.sittig(-atsign-)kp.org

Grants: ASMMI0031 (Agency:PHS HHS) ; LM06942 (Agency:NLM NIH HHS) ; R56 LM006942-07A1 (Agency:NLM NIH HHS)

Journal and publication information

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Review

Journal: Journal of biomedical informatics (J Biomed Inform), published in United States. (Language: eng)

Reference: 2008-Apr; vol 41 (issue 2) : pp 387-92

Dates: Created 2008/03/10; Completed 2008/04/16; Revised 2009/04/06;

PMID: 18029232, status: MEDLINE (last retrieval date: 4/7/2009, IMS Date: )

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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