Doctors acknowledge the value of wearable data, yet clinical integration remains stalled: Insights from the AMA global survey.

Introduction

Can data from smartwatches and fitness trackers become part of routine clinical decision-making? A new global survey released by the American Medical Association (AMA) and Medscape offers a thought-provoking answer: physicians show strong interest in wearable data, but healthcare systems are not yet ready to fully embrace it. This study, covering more than 2,000 physicians in the United States, Canada, the United Kingdom, France, Germany, and Spain, found that 97% of surveyed doctors review wearable data to some extent, with 82% of physicians using such devices themselves. However, fewer than 6% of doctors actually integrate wearable data into their clinical workflows.

Industry Context

With the rapid proliferation of Digital Health and consumer-grade HealthTech devices, wearables are becoming an important data gateway connecting patients and healthcare institutions. From heart rate and sleep to continuous glucose monitoring, these devices can provide continuous physiological signals that are difficult to capture in traditional clinical settings. But the surge in data volume has not automatically translated into improved clinical utility. The survey found that 77% of U.S. physicians and 74% of non-U.S. physicians believe wearable data offers at least some clinical advantage, particularly in the cardiovascular and endocrine fields. The potential value of wearable data in AI-assisted medical diagnosis, remote patient monitoring, and personalized treatment planning is now widely recognized by the physician community, but healthcare infrastructure—including payment, regulation, and workflow—has not kept pace with technological evolution.

Key Developments

• This survey, conducted by the AMA's Digital Health and AI Center in collaboration with Medscape, paints a detailed picture of physicians' current usage of and attitudes toward wearable data. Key findings include:- High physician acceptance coexists with low integration rates: 97% of physicians have reviewed wearable data, but currently fewer than 6% have incorporated it into their daily clinical workflows. The United States has the highest rate of clinical use, yet a large number of physicians remain in a state of “interested but not routinely using it.”
• Patient demand is an important driver: When patients proactively ask physicians to review wearable data, physicians generally respond, and this behavior is consistent across countries. The report argues that patient education and clinical communication tools are expected to be the most direct levers for accelerating adoption.
• Germany and Spain lead in integration potential: Physicians in these two countries have the highest rates of planning to integrate data within the next 12 months, while in Canada and the United Kingdom the figure is less than one-fifth. The United States, like Canada, shows a pattern of “moderate current integration, moderate near-term pipeline.”
• Significant differences across specialties: Cardiologists and endocrinologists use wearable data most frequently; general practitioners, neurologists, and pulmonologists have greater concerns about the relevance, reliability, and usefulness of the data.
• Regulatory trust matters, but it is not a panacea: About half of physicians say that regulatory approval is a core factor in building trust in data. France has a reimbursement pathway, yet its integration rate remains low; concerns about legal liability and uncertainty about data quality have weighed down real-world adoption.

These findings reveal a clear signal: physicians do not lack motivation to use wearable data; the crux lies in the structural barriers of the healthcare system.

Market Implications

For medical technology companies, hospitals, and investors, this survey brings important market insights. Currently, U.S. CPT codes for remote patient monitoring apply only to FDA-approved medical-grade devices and require use under a physician-directed care plan, leaving consumer-grade wearable devices without a clear reimbursement pathway. By contrast, Germany’s fast-track reimbursement pathway for DiGA (digital health applications) allows physicians to review wearable data more frequently when reimbursement is available, and scores for perceived clinical feasibility and confidence are the highest among the six countries.

This suggests that policy design by healthcare payers and regulators will directly determine whether wearable data can move from “nice-to-have” to “clinical necessity.” For healthcare IT vendors and electronic health record (EHR) system developers, the stance of AMA CEO John Whyte is worth paying attention to: companies must design data integration solutions together with physicians, rather than simply stacking technologies. The future opportunity lies in building a “clinically actionable layer”—filtering and integrating raw data, then presenting it to clinicians at the right time and in the right form. Healthcare AI will play a key role here, using algorithms to help physicians quickly identify anomalies and reduce the workload of data interpretation.

Challenges And Risks

• Despite physicians’ positive attitudes toward wearable data, multiple risks impeding clinical integration remain to be addressed:- Lack of payment pathways: Apart from Germany, most countries lack reimbursement mechanisms specifically for consumer wearable data. Without a sustainable payment logic, scalable adoption remains out of reach.
• Ambiguous legal liability: When physicians make decisions based on wearable data, liability is difficult to determine if a misjudgment occurs. In France, for example, concerns among physicians about liability and confidence in the data have prevented reimbursement channels from effectively driving integration.
• Workflow integration difficulties: More than half of physicians say that it is difficult to effectively interpret wearable data within limited consultation time. EHR systems generally provide insufficient support for such data, lacking standardized displays and alert mechanisms.
• Weak evidence base: The most trusted source of evidence among physicians remains randomized controlled trials. Currently, high-quality clinical research on wearable-data health interventions remains relatively scarce, and the development of professional society guidelines lags behind device innovation.

These risks are not insurmountable, but they require coordinated cross-sector efforts. Medical device manufacturers need to invest in outcomes validation, insurers must explore new value-based payment models, and medical AI developers must ensure the interpretability and fairness of algorithms.

Future Outlook

Over the next 3–5 years, the role of wearable data in healthcare will depend on several key variables. The first is the maturation of "medical AI": an AI-driven data analysis layer can turn bytes into alerts, allowing physicians to quickly focus on abnormal signals, which will greatly reduce the risk of data overload. The second variable is payer policy—if CPT codes or a pathway similar to Germany's DiGA can be extended to consumer-grade devices, the U.S. market could experience explosive growth. The third variable is the accumulation of clinical evidence: the publication of more randomized controlled trials and specialty guidelines is expected to persuade conservative physician groups to view wearable data as an extension of standard care.

We expect that vendors that first establish a closed loop of "data-analysis-intervention-payment" will become the focus of attention in the next round of Healthcare Innovation. Hospitals and physician groups will also gradually build clinical workflows adapted to continuous monitoring data in the coming years, and competitiveness in HealthTech will shift from feature stacking to the ability to deeply integrate with clinical needs.

Conclusion

The AMA survey provides a clear mirror for the industry: physicians are ready to use wearable data, yet regulatory and market systems are still moving in "slow motion" from a pre-AI era. The most pressing issue now is not launching more smart hardware, but rather how to use policy and institutional design to enable massive amounts of consumer health data to enter the clinical decision-making chain safely and effectively. Companies that collaborate and innovate with the healthcare system will seize the opportunity to define the future gateway to digital health.Reference source: Fierce Healthcare - Doctors want wearable data but healthcare isn't ready for it, AMA survey finds (https://www.fiercehealthcare.com/health-tech/doctors-want-wearable-data-healthcare-isnt-ready-it-ama-survey-finds)