PDMP & Data Surveillance
Chris Delcher, PhD
Assistant Professor, Department of Pharmacy Practice and Science, and Associate Director, Institute for Pharmaceutical Outcomes and Policy (IPOP)
University of Kentucky, College of Pharmacy
This session will focus on fraud and abuse involving controlled prescription drugs that is committed at the prescriber-dispenser-consumer end of the pharmaceutical chain. An important step in the detection of such schemes is the use of data-driven techniques and tools that leverage multiple data sets to ensure accuracy. In this session, representatives of different organizations will describe methods used to identify aberrant prescribing and dispensing patterns from their data. The early detection of these anomalies helps hone in on the set of potential bad actors from the larger dataset and informs the more advanced diagnostic analytic steps that are needed (to establish intent) in the investigative process. Citing real case studies, each speaker will share unique perspectives and techniques that were applied to various large longitudinal datasets. A discussion of these innovative techniques and things to consider will help the audience understand how best to leverage the never-ending, but often disparate, streams of data.
This session is accredited for the following accreditation types: CME, CNE, CPE, APA, AAFP, AAHCPAD*, NAADAC*, ASWB,* GA Post.
*State and provincial regulatory boards have the final authority to determine whether an individual course may be accepted for continuing education credit.