Locations:
May 15, 2025/Pediatrics

Scoping Review Highlights Gaps in Wearable Sensor Studies

Experts raise concerns, make recommendations about improving the data

Hands holding wearable sensor device

Sensor-based digital health technologies (sDHTs) have the potential to change the healthcare landscape through the remote monitoring of a user's vital signs. However, some experts argue that until these technologies can be uniformly evaluated and implemented across different patient populations, there is a case for caution.

Advertisement

Cleveland Clinic is a non-profit academic medical center. Advertising on our site helps support our mission. We do not endorse non-Cleveland Clinic products or services. Policy

"Many consumer devices now have FDA clearance for specific tasks. But, beyond choosing a device that captures the physiologic data you are interested in, there's a bit of a problem in determining the best sensor to address a specific patient issue," explains Animesh (Aashoo) Tandon, MD, Vice Chair for Innovation and Director of Cardiovascular Innovation at Cleveland Clinic Children's. "So, as a clinician or a researcher, how do you take that next step and decide the right technology for your patient?"

This question and the need to understand better how patients interact with sDHTs was the basis for a recent scoping review published in the Journal of Medical Internet Research. In the report, Dr. Tandon, the first author, and his colleagues cite gaps in the sDHT literature and make key recommendations to create an evaluation framework.

The research team drilled down on 10 years' worth of sDHT data involving human factors, human-centered design and usability. They extracted studies from 2013 to 2023 and included the study design, participant sample, the type of sensor, method of data capture, and usability-related data. Altogether, 83 papers fit their study criteria.

Notable gaps across sDHT studies

How people understood their experience with these sensors and how the data could impact behavior change was reported in very few studies. The authors argue this is an important data point, considering that sDHT's intended use is primarily outside of a clinical setting.

"Wearable sensors have been around for 10-15 years, some even longer, but across the studies we analyzed, very few captured user understandability and actionability," Dr. Tandon notes.

Advertisement

Usability data and its relationship to adherence were also not well-documented. "You can't give 10 people a smartwatch and tell them to use it if you don't know or understand what's driving adherence. We need to determine the features of those devices that will drive patients to use them.” There are important tradeoffs like size, weight and battery life to consider.

Understanding these variables, he says, “will be key for optimizing future generations of devices and making them fit-for-purpose.” Right now, it's kind of a guess.

Additionally, not all patient populations were represented across studies. Only a few papers focused on children. Dr. Tandon, a pediatric cardiologist, says this was disappointing, although not surprising. There are more limitations associated with collecting data from children, and market forces tend to preference adult-focused products and devices.

Studies also failed to uniformly capture information from all participating users, including sociodemographic information of users and usability from the care team standpoint.

Stakeholder information was not well-documented either, leaving unanswered questions about how data will integrate into clinical workflow, another aspect of implementation that remains underexplored.

Recommendations for designing future studies

The authors call for four actionable recommendations to guide future studies and set the stage for the next generation of devices. These include the following:

  • Expand the definition of usability beyond satisfaction and ease of use. This includes how users understand and experience the clinical data presented to them and the response tasks involved.
  • Focus recruitment efforts across all patient populations, with more focused attention on children, their families and their care partners.
  • Emphasize a rigorous study design that considers usability criteria, study sample sizes, and standards for success about whether a device is sufficient in a specific context.
  • Develop consistency in reporting all aspects of sDHTs to yield rich, high-quality data, propagate new studies and elevate the research landscape.

Advertisement

Considerations for wearable biosensors in congenital heart disease

The questions and concerns the study raises are particularly relevant to Dr. Tandon, who is leading studies evaluating wearable sensors in children and adults with congenital heart disease.

"There are many technologies out there that look great but aren't well tested. A smartwatch might indicate you have atrial fibrillation, but how do we know if the algorithm was tested on kids or people with congenital heart disease?"

These are some of the questions Dr. Tandon says he will continue to raise.

"FDA clearance is only one bar to pass. There needs to be more studies. These are happening more on the adult side, but in pediatrics and congenital heart disease, not so much. We are working on it, but it takes time to catch up."

Advertisement

Related Articles

A group of people standing in front of a historic Cleveland Clinic building

International Physician Leaders Get Immersive Training in Skills Beyond Medicine

Three-day program focuses on leadership, safety, operations and change management

Empty operating room
August 20, 2026/Digestive/Surgery

Lower Air Turnover in Unoccupied ORs Shows Safety and Savings Potential

Findings show significant energy savings and no association with increased surgical site infection, mortality or ICU admission

Chat bubble on digital background

From Fragmented Systems to a Unified Patient Journey

Connecting interactions adds clarity to the full patient story

doctor hand on laptop

Five Tactics to Modernize Healthcare Data and Analytics

Building a cohesive data structure delivers trusted insights, inspires innovation

Oncology nurse
January 9, 2026/Cancer

Improving Patient Experience in Inpatient Hematology: A Nursing Perspective

Structured interventions enhance sleep, safety and caregiver resiliency in high-acuity units

computer keyboard

AI Tools Boost Efficiency, Patient Experience

Automating routine medical coding tasks removes unnecessary barriers

Graphic representing cybersecurity

Tripwires Trigger Change: How Detection Engineering Elevates Cybersecurity

Digital “tripwires” detect and respond to malicious activity, boosting cybersecurity maturity

Graphic of people brainstorming

Printer Consolidation Cuts Cost, Brings New Mindset

Thoughtful collaboration, data-driven decisions and effective change management lead to significant savings

Ad