Using Electronic Health Record Data to Explore the Challenges of Opioid Prescribing: A Short Communication

Abstract

Background: Following the publication of the Center for Diseases Control and Prevention Guidelines for Prescribing Opioids in Primary Care, providers and institutions alike have been modifying practices and policies for prescribing controlled substances (2016). Study Setting:The University of Utah Health implemented a series of data-driven adaptive and innovative programs and initiatives to improve opioid prescribing across its connected hospital and ambulatory health centers. Data Collection: Using data mined from the electronic heath record system, researchers have been developing a data-driven approach with a collaborative team spanning clinical and data analytics backgrounds. Objective: This article discusses those collaborative initiatives and presents a discussion of mindfulness in prescribing practices. Conclusion: The multi-tiered data-driven approach taken by the University of Utah collaborative team demonstrates a model of change that other health care systems can emulate.