Opportunities and Challenges Surrounding the Use of Data From Wearable Sensor Devices in Health Care: Qualitative Interview Study

J Med Internet Res. 2020 Oct 22;22(10):e19542. doi: 10.2196/19542.

Abstract

Background: Wearable sensors connected via networked devices have the potential to generate data that may help to automate processes of care, engage patients, and increase health care efficiency. The evidence of effectiveness of such technologies is, however, nascent and little is known about unintended consequences.

Objective: Our objective was to explore the opportunities and challenges surrounding the use of data from wearable sensor devices in health care.

Methods: We conducted a qualitative, theoretically informed, interview-based study to purposefully sample international experts in health care, technology, business, innovation, and social sciences, drawing on sociotechnical systems theory. We used in-depth interviews to capture perspectives on development, design, and use of data from wearable sensor devices in health care, and employed thematic analysis of interview transcripts with NVivo to facilitate coding.

Results: We interviewed 16 experts. Although the use of data from wearable sensor devices in health and care has significant potential in improving patient engagement, there are a number of issues that stakeholders need to negotiate to realize these benefits. These issues include the current gap between data created and meaningful interpretation in health and care contexts, integration of data into health care professional decision making, negotiation of blurring lines between consumer and medical care, and pervasive monitoring of health across previously disconnected contexts.

Conclusions: Stakeholders need to actively negotiate existing challenges to realize the integration of data from wearable sensor devices into electronic health records. Viewing wearables as active parts of a connected digital health and care infrastructure, in which various business, personal, professional, and health system interests align, may help to achieve this.

Keywords: data; health care; qualitative; wearable sensor devices.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Analysis
  • Delivery of Health Care / methods*
  • Female
  • Humans
  • Interview, Psychological / methods*
  • Male
  • Qualitative Research
  • Wearable Electronic Devices / standards*