Open API and Interoperability in Medical Wearable Data for Healthcare Research

Category

Explore

Institutions

ETH Zurich

Data type

Medical device data

Field

Life sciences

Researchers

Paez, Diego, O. Stoller (ETHZ), C. Awai (ETHZ)

Abstract

The MED-WEAR project addresses the absence of data interoperability in wearable devices in clinical practice and research, i.e., each manufacturer, service provider and researcher, executes unique solutions for data capturing, storing, and formatting in each study. In response to this challenge, we propose the development of a Wearable API (MED-WEAR), which provides a standardised framework between medical wearables and robotic devices to collect data in multiple research and clinical facilities, whilst reducing the workload and costs by applying FAIR principles in clinical research with this devices. We aim to establish standardised data collection in the ETH domain and beyond, herewith, empowering the research in healthcare community for streamlined data collection with wearables to foster innovation with wearables and define open standards. MED-WEAR impacts clinical and data science research by enabling lifelogging for individuals, promoting transparency in patient monitoring across rehabilitation laboratories. Engaging with the Swiss Neuro Rehab
Initiative and collaboration across ETH RESC, RELAB, SMS lab, SCAI lab and DART lab at LLUI, the project establishes an interoperable platform, with the potential to provide a new ORD service within the ETH domain.

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