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BMJ 2005;330:740-741 (2 April), doi:10.1136/bmj.330.7494.740
We have some answers, but implementing good decision support is still hard
| The first 150 words of the full text of this article appear below. |
Clinical decision support is the provision of "clinical knowledge and patient-related information, intelligently filtered or presented at appropriate times, to enhance patient care."1 Medical institutions are increasingly adopting tools that offer decision support to improve patient outcomes and reduce errors. Healthcare providers and administrators with little or no training in computer science may be asked to evaluate, select, or contribute to the development of decision support systems for their practices. Is there an easy way to determine which clinical decision support systems are good?
In this issue Kawamoto and colleagues provide some evidence based guidance in a systematic analysis of the ability of decision support systems to improve practice in both statistically significant and clinically meaningful ways (p 765).2 This rigorous review includes only randomised controlled trials and excludes small studies that do not meet 50% of established criteria for methodological quality.3
4 It identifies four independent predictors
Gretchen P Purcell, paediatric surgery fellow
(gretchenpurcell@stanfordalumni.org) Division of Pediatric Surgery, Pittsburgh Children's Hospital, Pittsburgh, PA 15213, USA