Session ID: 

Wearable Device Data: Signal or Noise?

8:30am - 9:30am Thursday, February 14
Orlando - Orange County Convention Center


Wearable devices like activity trackers, smart phones and smart watches continuously measure physiologic data (e.g., steps, heart rate, sleep quality) during everyday activities and are widely available. Utilizing this data requires a paradigm shift for healthcare, where for decades the collection of physiologic data was limited to patients' physical interactions with the healthcare system. In addition, there are technical challenges associated with data collection, curation, storage and access, as well as ensuring provenance and artifact rejection. Still, there is potential to produce significant advances in individual health assessment, population health and even healthcare delivery itself. This session will cover the broad range of data that can be collected now and in the near future, some of the technical challenges associated with managing this data, as well as the system changes that will be required in order to be able to utilize this data to improve care and outcomes.

Learning Objectives: 

  • Identify the types of physiologic data that can be captured, now and in the near future, by wearable physiologic monitoring devices
  • Recognize the considerations in obtaining, curating, storing and retrieving data from wearable physiologic monitoring devices
  • Explain the considerations involved in ensuring data provenance and providing artifact detection when acquiring and managing data from wearable physiologic monitoring devices
  • Analyze the changes that will be required in both clinician outlook and health care delivery in order to make use of the data from wearable devices to improve outcomes at both individual and population levels


Medical Director, Applied Clinical Informatics,
Mayo Clinic Hospital


Clinical Informaticists
Physician, CMO, CMIO