Struggling to bring clinical prediction rules to the point of care: missed opportunities to impact patient care.
Clinical prediction rules can help clinicians make personalized and complex decisions at the point of care. They have the potential to improve patient care outcomes and reduce healthcare costs, but remain underutilized. There are a number of well-derived and validated clinical prediction rules. Few, however, have been studied by means of an impact analysis or successfully integrated into provider workflow. A heavily identified area of opportunity for integration is the electronic health record. There are, however, a number of barriers to adoption at both the infrastructure and organizational levels. Research efforts should focus on impact analysis and how to successfully implement existing, well-validated clinical prediction rules into daily practice. Recommendations include emphasis on a collaborative framework, using existing technologies, and utilization of usability and workflow integration methodology.
Hofstra North Shore-LIJ School of Medicine, 500 Hofstra University, Hempstead, NY 11549, USA.
Corey
C
Karlin-Zysman
Nancy
N
Zeitoun
Lawrence
L
Belletti
Lauren
L
McCullagh
Thomas
T
McGinn
D020811:Biomedical Technology; D003661:Decision Support Techniques; D004059:Diffusion of Innovation; D042241:Early Diagnosis; D057286:Electronic Health Records; D019317:Evidence-Based Medicine; D006801:Humans; D015279:Organizational Culture; D019095:Point-of-Care Systems; D010818:Practice Patterns, Physicians'