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Telehealth at scale: the need for interoperability and analytics

Telehealth supported care coordination for patients with chronic diseases has been established for more than 10 years. With large-scale implementation and integration in varying care settings, new requirements and challenges are emerging. In this paper, we argue that data interoperability and analytics are two key factors that will determine the success and widespread adoption of telehealth. These two factors are also highly related. We present our vision in the context of a newly emerging healthcare ecosystem and share initial results of a case study that shows how data interoperability is a necessary precursor for predictive analytics in Telehealth.