Table 3.

Talking to industry. What do we need to know?

Sleep Health still recognizes critical barriers in the evaluation and use of consumer sleep technology, which are highly promising, powerful tools to advance the field of sleep research and clinical sleep medicine. With this in mind, we outline some key barriers to adopting this technology, with the hope of opening a meaningful discussion amongst industry, academia, and other stakeholders:

– Raw data are still largely unavailable.

– The frequent undisclosed/proprietary nature of algorithms has limited their evaluation and use.

– Undisclosed updates and/or no control of this versioning process disrupts research and classifier development, and further limits their dissemination and adoption.

– Unclear claims regarding wellness / diagnostics / therapeutics are reflected in a lack of clear outcomes.

– Peer review should be preferred to company-internal public press.

– Importance of implementation, including access to application programming interfaces (APIs), research-level access to data, availability of real-time data

– Privacy considerations, including ability to de-identify data, avoid deductive re-identification, etc