Orchestrating platform ecosystems is becoming increasingly complex as increasingly more players, complementary services, and technological innovations become involved. Interoperability is an important requirement for convincing customer journeys as well as functional and quality-assured data exchange and offers increasingly higher potential for automation, especially with the help of machine learning or artificial intelligence. The interoperability maturity model developed in this study can be used as a conceptual framework for measuring the interoperability of current and future components and complementors of platform ecosystems. The model, developed as an artifact of design science research, was evaluated using an iterative approach with orchestrators of health data platforms and their ecosystem. The results suggest that it can contribute to achieving and sustaining integrated value chains with multiple players and diverse technology and can be used to assess the interoperability of care chains and inform considerations of interoperability in the future.

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Track 19: Digital Health & Wellbeing