09 Mar Data Modeling Challenges of Advanced Interoperability

Progressive health paradigms, involving many different disciplines and combining multiple policy domains, requires advanced interoperability solutions. This results in special challenges for modeling health systems. The paper discusses classification systems for data models and enterprise business architectures and compares them with the ISO Reference Architecture. On that basis, existing definitions, specifications and standards of data models for interoperability are evaluated and their limitations are discussed. Amendments to correctly use those models and to better meet the aforementioned challenges are offered.

Blobel B, Oeming F, Ruotsalainen P. Data Modeling Challenges of Advanced Interoperability. Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth: Proceedings of MIE 2018. 2018.