Data Sharing & Analysis | HEAL

Harnessing big data, computational modeling, and AI to advance pain and addiction research

Addressing the overdose public health crisis requires timely, accessible, connected, and actionable data, yet information is often fragmented across multiple systems, delayed, or difficult to interpret for the communities that need it most. This research program supports projects that develop new methods to better collect, analyze, integrate, and/or link existing health and community data, including electronic health records, mortality records, pharmacy data, social media, and other emerging data sources, to improve understanding of substance use, overdose, treatment, and recovery. By making data more timely, accurate, and useful, these projects help communities, health systems, and public health agencies detect emerging trends and make faster, better-informed decisions about prevention and treatment. The program also advances FAIR (Findable, Accessible, Interoperable, and Reusable) data practices so that HEAL-funded data and tools can be more easily shared, reused, and built upon to accelerate scientific discovery.

Email: Janet Kuramoto-Crawford, Ph.D., M.H.S., janet.kuramoto-crawford@nih.gov

The HEAL Data2Action (HD2A) program translates research into practice by leveraging real-world data to improve and monitor evidence-based pain management and opioid use disorder treatment practices. Through meaningful stakeholder engagement and strengthened data infrastructure and analytical tools, HD2A helps identify service gaps and generate actionable insights that improve care delivery. Innovative modeling, economic, and implementation research further advances strategies to maximize the impact of evidence-based interventions. By transforming data into action, the program supports the implementation, adoption, and sustainment of evidence-based practices to address service delivery gaps, improve health outcomes, and ultimately reduce opioid-related morbidity and mortality. Learn more with the resources below:

Email: Janet Kuramoto-Crawford, Ph.D., M.H.S., janet.kuramoto-crawford@nih.gov