Wearable Devices: Useful Medical Insights or Just More Data?

Wearable devices are increasingly bought to track and measure health and sports performance: from the number of steps walked each day to a person's metabolic efficiency, from the quality of brain function to the quantity of oxygen inhaled while asleep. But the truth is we know very little about how well these sensors and machines work - let alone whether they deliver useful information, according to a new review published in Frontiers in Physiology.

"Despite the fact that we live in an era of 'big data,' we know surprisingly little about the suitability or effectiveness of these devices," says lead author Dr Jonathan Peake of the School of Biomedical Sciences and Institute of Health and Biomedical Innovation at the Queensland University of Technology in Australia. "Only five percent of these devices have been formally validated."

The authors reviewed information on devices used both by everyday people desiring to keep track of their physical and psychological health and by athletes training to achieve certain performance levels. The devices - ranging from so-called wrist trackers to smart garments and body sensors designed to track our body's vital signs and responses to stress and environmental influences - fall into six categories:

  • devices for monitoring hydration status and metabolism
  • devices, garments and mobile applications for monitoring physical and psychological stress
  • wearable devices that provide physical biofeedback (e.g., muscle stimulation, haptic feedback)
  • devices that provide cognitive feedback and training
  • devices and applications for monitoring and promoting sleep
  • devices and applications for evaluating concussion

The authors investigated key issues, such as: what the technology claims to do; whether the technology has been independently validated against some recognized standards; whether the technology is reliable and what, if any, calibration is needed; and finally, whether the item is commercially available or still under development.

The authors say that technology developed for research purposes generally seems to be more credible than devices created purely for commercial reasons.

"What is critical to understand here is that while most of these technologies are not labeled as 'medical devices' per se, their very existence, let alone the accompanying marketing, conveys a sensibility that they can be used to measure a standard of health," says Peake. "There are ethical issues with this assumption that need to be addressed."

For example, self-diagnosis based on self-gathered data could be inconsistent with clinical analysis based on a medical professional's assessment. And just as body mass index charts of the past really only provided general guidelines and didn't take into account a person's genetic predisposition or athletic build, today's technology is similarly limited.

The authors are particularly concerned about those technologies that seek to confirm or correlate whether someone has sustained or recovered from a concussion, whether from sports or military service.

"We have to be very careful here because there is so much variability," says Peake. "The technology could be quite useful, but it can't and should never replace assessment by a trained medical professional."

Speaking generally again now, Peake says it is important to establish whether using wearable devices affects people's knowledge and attitude about their own health and whether paying such close attention to our bodies could in fact create a harmful obsession with personal health, either for individuals using the devices, or for family members. Still, self-monitoring may reveal undiagnosed health problems, said Peake, although population data is more likely to point to false positives.

"What we do know is that we need to start studying these devices and the trends they are creating," says Peake. "This is a booming industry."

In fact, a March 2018 study by P&S Market Research indicates the wearable market is expected to generate $48.2 billion in revenue by 2023. That's a mere five years into the future."

The authors highlight a number of areas for investigation in order to develop reasonable consumer policies around this growing industry. These include how rigorously the device/technology has been evaluated and the strength of evidence that the device/technology actually produces the desired outcomes.

"And I'll add a final question: Is wearing a device that continuously tracks your body's actions, your brain activity, and your metabolic function - then wirelessly transmits that data to either a cloud-based databank or some other storage - safe, for users? Will it help us improve our health?" asked Peake. "We need to ask these questions and research the answers."

Peake JM, Kerr G, Sullivan JP.
A Critical Review of Consumer Wearables, Mobile Applications, and Equipment for Providing Biofeedback, Monitoring Stress, and Sleep in Physically Active Populations.
Front Physiol. 2018 Jun 28;9:743. doi: 10.3389/fphys.2018.00743.

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...