Leveraging eSource in clinical data collection with Mats Sundgren
From Clinical Data Talks by CRScube
October 15, 2025 · 29 min · Season 2 · Episode 3
About this episode
Mats Sundgren discusses the transformative impact of eSource in clinical research and the challenges of its adoption.
Join Sylvain Berthelot as he welcomes Mats Sundgren, Senior Advisor at the European Institute for Innovation through Health Data. A pioneer in implementing eSource during his years at AstraZeneca, Mats shares how this approach is transforming clinical research. Together, they explore what eSource really means and why reducing duplicate data entry at site level is such a game-changer. Mats highlights findings from a recent study with Memorial Sloan Kettering Cancer Center, which revealed the heavy time burden manual data entry places on coordinators, and how eSource can dramatically improve efficiency and data quality. The discussion also covers the promise and challenges of scaling eSource adoption: from interoperability standards like HL7 FHIR, to dealing with unstructured data using natural language processing. Mats emphasizes the role of AI as an assistant rather than a replacement, and why true progress requires aligning value across sponsors, hospitals, vendors, and regulators. Tune in to learn more about eSource, the cultural shifts needed for sustainable adoption, and the guiding principles Mats applies – rooted in Nash equilibrium.
People in this episode
Host: Sylvain Berthelot
Guest: Mats Sundgren
Topics covered
- eSource
- clinical data collection
- data quality
- interoperability
- AI in healthcare
Keywords
- clinical research
- data entry
- efficiency
- natural language processing
- Nash equilibrium
Mentioned in this episode
Products: HL7 FHIR, natural language processing tools
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