Effects of an e-Prescribing interface redesign on rates of generic drug prescribing: exploiting default options.

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.

Promoting generic medication prescribing by order interface redesign: small change, large impact.

Prescription drugs are a significant component of the ever increasing health care costs. We describe the effects on generic medication prescribing behavior achieved through redesign of the order entry interface of our institutions ambulatory electronic health record. The redesign involved custom programming that automatically substituted brand medications with their generic equivalents and only allowed continuation with the brand medication if the clinician made an extra mouse click selecting "dispense as written". We conducted a before-after retrospective study around the time of the redesign and witnessed a net 36.9% percentage increase in the number of generic medications prescribed.

Physician productivity and the ambulatory EHR in a large academic multi-specialty physician group.

PURPOSE: The impact of the ambulatory electronic health record (EHR) on physician productivity is poorly understood. Fear of productivity loss remains a major concern for practitioners and health care delivery organizations and inhibits system adoption. This study describes the changes in physician productivity after the implementation of a commercially available ambulatory EHR system in a large academic multi-specialty physician group. METHODS: Weill Cornell faculty members implemented on the EpicCare (Epic Systems) EHR between 2001 and 2007 were identified as potential study participants. Monthly visit volume, charges, and work relative value units (wRVUs) were compared pre and post each provider's EHR implementation go-live date. Practitioners who lacked at least 6 months of pre- and post-implementation visit volume and charge data were excluded. Practitioners who did not meet pre-determined system proficiency metrics were additionally identified and became the basis of a non-adopter comparison group. RESULTS: 203 physicians met criteria for the analysis. The eligible providers were divided into an adopter and non-adopter cohort based on system proficiency benchmarks. Those practitioners who adopted the EHR had a statistically significant increase in average monthly patient visit volume of 9 visits per provider per month. The non-adopter cohort's visit volume was statistically unchanged. Both the EHR adopters and non-adopters had statistically significant increases (22% and 16% respectively) in average monthly charges in the post-implementation period. Average monthly wRVUs were statistically unchanged in the non-adopter cohort, but showed a positive and statistically significant increase of 12 wRVUs per provider per month for the adopter group. The EHR adoption group showed an incremental increase in productivity once practitioners achieved 6 or more months experience with the EHR, consistent with a "ramp-up" period. A multivariable regression model did not reveal any association between the post-EHR implementation change in wRVUs and several potential confounding variables, including baseline provider average monthly visit volume and wRVUs, date of system adoption, and specialty categorization. CONCLUSION: Provider productivity, as measured by patient visit volume, charges, and wRVUs modestly increased for a cohort of multi-specialty providers that adopted a commercially available ambulatory EHR. The productivity gain appeared to become even more pronounced after several months of system experience. This objective data may help persuade apprehensive practitioners that EHR adoption need not harm productivity. The baseline differences in productivity metrics for the adopters and non-adopters in our study suggest that there are fundamental differences in these groups. Further characterizing these differences may help predict EHR adoption success and guide future implementation strategies.

Terminological reaction.

When the terminology services at our institution encountered the installation of a new multi-site laboratory information system (LIS), we pursued obtaining a regular dictionary feed to keep the central terminology up-to-date. What we didn't predict was the value added to the LIS implementation effort by a cooperative vocabulary strategy. In this report, we describe how preexisting terminology services were leveraged to facilitate the integration of 2 previously independent laboratories into a new cross-campus LIS.