Shaun J. Grannis

Shaun J. Grannis is a leading Research Professor at the Regenstrief Institute and Indiana University School of Medicine, specializing in Medical Informatics. His work focuses on patient matching, health data interoperability, and public health surveillance.

• Research Interests: Patient identification strategies, privacy-preserving record linkage, synthetic data generation, and leveraging health information exchanges (HIE) for population health analytics.
• Articles: Over 86 publications (2002-2025) addressing real-time disease detection, data quality metrics, and EHR interoperability. Key trends include syndromic surveillance, social determinants of health, and machine learning in clinical data.
• Awards: Recognized for groundbreaking work in public health informatics and synthetic data applications.
• Collaborations: Frequent partnerships with institutions like AMIA, JAMIA, and BMC Medical Informatics on projects enhancing healthcare data systems.
• Grants: Involved in NIH-funded initiatives for national patient-centered research networks.