Leveraging Integrated Master Data and Claims Pipelines to Transform Medication Synchronization in Pharmacy Services

Abstract

Rx Sync is a data-focused initiative designed to enhance pharmacy services with improved patient graduation from a medication-taking behavior using data aggregation and analytics; it draws data from many sources, compiling it into a discrete, more effective Product Data Store (PDS). The end product is trustworthy patient profiles complete with layers of data management processes to ensure consistent accuracy of data and linkage of data into actual profiles, and data management processes. The work has resulted in a historic reduction of short-acting opioid prescriptions by 31% and since then has also realized operational efficiencies for improved refill bundling, substitution generics, and home delivery possibilities with potential implications for cost and health outcomes. Utilizing scalable ETL standards and distributed computing technologies, Rx Sync was also able to sustain engagement to address challenges from data silos and data types/processes of designated larger datasets and to still be respectful of patient preferences. The timing of continuous update and feedback loops has also enhanced Rx Sync's performance and value as a project showcasing how the healthcare sector continues to need to transition and embrace Big Data strategies for ultimately higher value patient-centered care and pharmacy operations improvement overall.