Booth 306
Milan, Italy

Join researchers, practitioners, regulators, and industry leaders from around the world for the ISPE 2026 Annual Meeting, “Unlocking the Power of Pharmacoepidemiology to Improve Patient Health.” The conference will explore emerging methods and approaches for generating robust real-world evidence and applying it across clinical decision-making, regulatory, risk management, risk communication, and public health settings. Attendees will have opportunities to learn from keynote presentations, plenary sessions, workshops, courses, and scientific symposia while connecting with peers across academia, industry, and regulatory organizations.
Session: Pre-Conference Skills Course
Date and time: Sunday, August 30, 2026 | 9:00 a.m.–12:30 p.m. CEST
Location: To be determined
Datavant presenter: Liz Garry
This beginner-to-intermediate course will introduce practical approaches to planning, conducting, interpreting, and communicating sensitivity analyses in pharmacoepidemiology studies using healthcare databases. Through an interactive case study, participants will examine sensitivity analyses related to study design choices, confounding, quantitative bias analysis, and the interpretation of results.
Session: Poster Session B
Date and time: Tuesday, September 1, 2026 | 11:30 a.m.–1:00 p.m. CEST
Location: Exhibit Hall
Datavant presenter: Vera Frajzyngier
This study evaluates how well structured EHR variables capture primary biliary cholangitis histories and outcomes compared with information abstracted from physician notes and the Organ Procurement and Transplantation Network database. The findings highlight the importance of validating structured data definitions and combining multiple data elements to improve variable measurement.
Session: Poster Session B
Date and time: Tuesday, September 1, 2026 | 11:30 a.m.–1:00 p.m. CEST
Location: Exhibit Hall
Datavant presenter: Coralie Lecomte
This Moderna-sponsored study examines methodological approaches to identifying norovirus acute gastroenteritis in administrative claims data, where limited diagnostic testing can lead to undercounting and misclassification. It assesses how alternative definitions affect observed patient characteristics, disease severity, and episode duration to inform fit-for-purpose cohort construction in real-world evidence studies.