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FDA Sets Guidelines for Wearable Technology

FDA Sets Guidelines for Wearable Technology - wearable technology
FDA Sets Guidelines for Wearable Technology

The Food and Drug Administration (FDA) has outlined best practices for incorporating digital measurements from wearables and other technology into clinical trials. Digital health technologies used in studies should be validated and measure outcomes that matter to patients, the FDA said. The agency shared these guidelines as more clinical studies incorporate wearables and other digital health technologies.

Benefits of Digital Health Technologies

Digital health technologies may be beneficial because they capture information about a person’s health during their everyday life, according to Rick Abramson, director of the FDA’s Digital Health Center of Excellence. These technologies can provide insight into sleep, mobility, cardiovascular function, or other aspects of a person’s health in their day-to-day life.

Abramson wrote that in some cases, the technologies can enable earlier detection of treatment effects or other safety signals, and can support decentralized clinical trials. The discussion on digital health technologies corresponds with efforts on real-world evidence and patient-generated data at the FDA’s device center.

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Validation and Accuracy

The best digital measurements should focus on what aspect of health researchers are looking to understand. Abramson emphasized the importance of direct input from patients to help identify the aspects of health that matter most. Technologies should also be evaluated to ensure that they provide precise and accurate measurements, and that the results reflect meaningful changes in a person’s health.

For example, researchers may want to measure walking in people with cardiovascular disease. First, they would need to determine what aspects of walking, such as walking bout length or step count, would best capture a person’s ability to move. The technologies used to capture these measurements also need to go through analytical and clinical validation.

An example of analytical validation would be ensuring an accelerometer accurately captures values that are converted to step count. Clinical validation would be confirming that walking bout length captures changes in mobility for people with different degrees of cardiovascular disease. The FDA’s medical product centers, including those focused on medical devices, biologics, drugs, and oncology, jointly published a white paper explaining these principles.

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Real-World Evidence and Patient-Generated Data

The FDA’s device center has emphasized real-world evidence in its recent medical device user fee amendments, which set the center’s priorities and how much funding it can receive from industry over a five-year period. The device center committed to training stakeholders on real-world evidence and patient-generated health data, and expanding its expertise and staff capacity to respond to submissions with this data.

The agency published final guidance in December on the use of real-world data for regulatory decision-making in medical devices. This guidance, combined with the recent white paper on digital health technologies, demonstrates the FDA’s commitment to leveraging digital health technologies to improve clinical trials and bring new treatments to market.

clinical trials fda healthcare
Florinda Ashbridge

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