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Updated: Mar 25, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Effects of an e-Prescribing interface redesign on rates of generic drug prescribing: exploiting default options
Sameer Malhotra1, Adam D Cheriff2, J Travis Gossey3
1Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA Physician Organization, Weill Cornell Medical College, New York, NY, USA sam2032@med.cornell.edu.
Objective:
Increasing the use of generic medications could help control medical costs. However, educational interventions have limited impact on prescriber behavior, and e-prescribing alerts are associated with high override rates and alert fatigue. Our objective was to evaluate the effect of a less intrusive intervention, a redesign of an e-prescribing interface that provides default options intended to "nudge" prescribers towards prescribing generic drugs.
Methods:
This retrospective cohort study in an academic ambulatory multispecialty practice assessed the effects of customizing an e-prescribing interface to substitute generic equivalents for brand-name medications during order entry and allow a one-click override to order the brand-name medication.
Results:
Among drugs with generic equivalents, the proportion of generic drugs prescribed more than doubled after the interface redesign, rising abruptly from 39.7% to 95.9% (a 56.2% increase; 95% confidence interval, 56.0-56.4%; P < .001). Before the redesign, generic drug prescribing rates varied by therapeutic class, with rates as low as 8.6% for genitourinary products and 15.7% for neuromuscular drugs. After the redesign, generic drug prescribing rates for all but four therapeutic classes were above 90%: endocrine drugs, neuromuscular drugs, nutritional products, and miscellaneous products.
Discussion:
Changing the default option in an e-prescribing interface in an ambulatory care setting was followed by large and sustained increases in the proportion of generic drugs prescribed at the practice.
Conclusions:
Default options in health information technology exert a powerful effect on user behavior, an effect that can be leveraged to optimize decision making.
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