Multi-Stakeholder Design for Complex Digital Health Systems: Development of a Modular Open Research Platform (MORE)

Abstract

Background: The Modular Open Research Platform (MORE) is being developed as an open-source platform for long-term situated digital health (DH) research and observations with the potential to facilitate studies, evaluations of DH interventions, and remote telehealth monitoring. Objectives: To implement an iterative development approach that integrates multi-stakeholder perspectives to support a single platform development process. Method: Capture, fulfil and balance the requirements of a multi-disciplinary group of stakeholders interacting with the system through a Delphi-inspired, iterative and participatory design process encompassing a series of workshops and online surveys. Results: Through interaction with a multi-disciplinary group of key platform stakeholders, diverse feedback and requirements for the design and development process were elicited and integrated. Conclusion: Findings from the initial rounds of stakeholder involvement lay the stepping stone towards further iterations in the process. Experts who participated in the process reported being generally supportive of and feeling involved in the development process.

Editorial: Supporting sustainable behavior change and empowerment in ubiquitous and learning health systems

“…This encourages future work that exceeds beyond traditional randomized controlled study designs, enabling the expression ( 12 ) and systematic study of complex system configurations and mechanisms for adaptivity. This will require capable and scalable research infrastructures ( 13 ), as well as improvements in research methods at scale, for which novel artificial intelligence methods currently offer an exciting avenue of exploration, particularly due to newly evolving capabilities in readily integrating highly varied and sparse multi-modal data streams, as well as converting between structured digital (i.e., “computable”) and unstructured natural language (i.e., easily and efficiently describable) representations.…”