"How can EHR system users make the best of algorithm-based tools?"
Published on: 04/03/2026
Updated on: 04/03/2026
Short Description
This working paper looks at the real requirements for meaningful interactions between electronic health records (EHRs) and AI solutions. Building on the EHDS, it highlights the importance of data fluidity and the role of FAIR data, data quality assurance, user-centered design, and governance. Achieving interoperable, trustworthy, and clinically meaningful AI supported clinical decision making requires comprehensive, multi-level strategies with human beings and AI working together.
Category
Working Papers