Evolution of State Data Systems to Protect Individuals From Substance Use Disorder Overdose and Deaths: Lessons From Florida and Maine

Tuesday, April 11, 2023

8:00 AM – 9:15 AM

Location: International Ballroom Section F OMNI

Presenter(s)

Daniel S. Soucier, PhD

Project Director/Research Associate/Instructor
University of Maine
Brewer, Maine
Rebecca A. Taylor, MD, MS, MPH

Deputy Director of Research and Evaluation
Maine Department of Health and Human Services / Office of Behavioral Health
Augusta, Maine
JR

John Robertson

Business Intelligence Architect / Chief Technology Officer
Florida Department of Health / Omnicore
Tallahassee, Florida

Moderator(s)

Michael B. Meit, MA, MPH

Director
ETSU Center for Rural Health
Member, Rx Drug Abuse & Heroin Summit Advisory Board
Johnson city, Tennessee

Prescription Drug Monitoring Programs (PDMPs) continue to rapidly add new capabilities since appearing in an electronic format 30 years ago. With the advent of computerized databases, statistical tools, machine learning, and artificial intelligence, PDMP’s can analyze information from an unlimited number of resources. Next-generation programs will use complex statistical algorithms to access data from PDMPs, health, and justice information systems. Combined with publicly available research databases, these systems can create predictive models in real-time that enable policymakers and first responders the ability to put in place preventive measures that improve public safety and health outcomes. This mitigation strategy identifies patterns that would have taken decades to monitor and address even ten years ago. The loss of life and long-term impact of the opioid epidemic require an aggressive, but thoughtful, approach in creating models that protect patient civil liberties while providing policymakers with the effective tools that mitigate the risks and other negative impacts of drug use.

In this session, representatives of two PDMPs will share their experiences with developing data warehouses and applying various analytics.

Learning Objectives:

Describe the steps necessary to create and manage a data surveillance website
List the steps to de-duplicate fatal and nonfatal overdose events for timely public reporting
Describe how to create data products that are useful across the spectrum of website guests from policymakers and legislators to people who use drugs, their friends and families
List strategies for creating a modern data warehouse
Identify data sets that complement and enhance PDMP and public health/safety information
Describe the use of standards in cross-dimensional data models