Impact of Clinical Decision Support Within the Electronic Medical Record on Opioid Prescribing and Dispensing.

INTRODUCTION

Clinical decision support tools support prescribers and pharmacists as they select and verify appropriate opioid regimens in efforts to combat the high variability in opioid prescribing. This study seeks to examine the impact of alerts within the electronic medical record and pharmacy system on day supply of initial opioid prescribing and dispensing.

METHODS

This retrospective study compared a 6-month pre- and postimplementation of clinical decision support tool alerts at an integrated health care system. Data were analyzed to assess changes in the day supply of an opioid at the point of initial prescribing and dispensing based on alerts.

RESULTS

The best practice alert in the electronic medical record was associated with a 27% change (p = 0.007) in prescribing by the physician, which resulted in a reduction of average day supply from 12.09 to 6.58 days. The alert in the pharmacy system was associated with a 41.3% change (p < 0.001) in dispensing, which resulted in a reduction of average day supply from 13.46 to 6.96 days.

DISCUSSION

To promote judicious opioid prescribing, the best practice alert in the electronic medical record led to a statistically significant change in prescribing. To support appropriate dispensing, the alert in the pharmacy system led to a statistically significant change in dispensing.

CONCLUSION

Implementation of two clinical decision support tools that mirrored Centers for Disease Control and Prevention recommendations of prescribing less than a 7-day supply when initiating opioids resulted in a decrease in day supply of the opioid prescription for patients identified as opioid-naïve at the point of prescribing and dispensing.