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 free text information to drive clinical decision support mine large clinical databases to create new CDS.
HTML PDFShare this article
Journal of Clinical Research received 11 citations as per Google Scholar report
