Detecting Post-Surgical Complications With Wearables: A New Era of Remote Monitoring

Written by:
Friedrich Lämmel
A photo of remote patient monitoring in the hospital

Remote therapeutic monitoring (RTM) is quickly becoming one of the most powerful tools in modern healthcare. By combining wearables with digital health platforms, providers can track recovery far beyond hospital walls and catch warning signals before they escalate. A recent study from the University of Alabama at Birmingham (UAB) showed how everyday consumer wearables can flag pediatric surgical complications early, pointing to a new era of smarter, safer, and more proactive care. 

In this blog post, we will explore how RTM has evolved, what makes wearables so effective at detecting complications, and the practical benefits for patients, hospitals, insurers, and digital health platforms. We will also look at the main barriers to adoption, the growing role of predictive analytics, and why this approach is especially relevant today. Finally, we’ll highlight how Thryve enables healthcare organizations to integrate RTM securely and effectively into their services.

Why RTM Matters 

Traditionally, post-surgical care has relied heavily on in-person follow-ups and patient self-reporting. These methods, while useful, carry significant limitations: missed symptoms, delayed recognition, and preventable readmissions. Remote therapeutic monitoring (RTM) transforms this approach by enabling continuous, objective data collection on vital metrics such as activity, heart rate, and sleep patterns.

With RTM, recovery becomes measurable in real time, giving providers early visibility into a patient’s progress. They can identify deviations from expected recovery patterns, like sudden drops in mobility or abnormal vital fluctuations,  which often precede complications such as infections, wound healing delays, or even blood clots. This creates an opportunity for earlier, proactive intervention.

The benefits extend beyond hospitals. For insurers, earlier detection means reduced claims from costly readmissions. For digital health platforms, it opens new opportunities to deliver personalized recovery journeys and predictive alerts, strengthening both user trust and engagement.

How Wearables Detect Complications

The UAB study demonstrated that simple activity data, such as daily step counts from consumer wearables, closely reflected post-surgical recovery progress. Children who recovered well showed steady mobility gains, while those with complications experienced noticeable declines. Even a modest drop in steps could signal emerging problems, making wearables powerful tools for early warning.

Expanding this insight, researchers highlighted how these metrics can be incorporated into broader recovery frameworks. Step data can be combined with heart rate, sleep quality, and patient-reported symptoms to create a fuller picture of recovery. Predictive models based on this information could allow practitioners to act days earlier than traditional checkups would allow. For families, the ability to monitor progress remotely reduces anxiety and ensures that problems are flagged quickly, even outside of hospital settings.

These insights can reshape post-surgical care by:

  • Earlier detection of complications, preventing costly readmissions.
  • Continuous monitoring for patients far from hospitals.
  • Data-driven interventions that enable clinicians to act proactively.
  • Greater patient and family reassurance with real-time feedback.
  • Opportunities for predictive analytics that can anticipate complications before symptoms worsen.

What Are The Benefits of Wearables in Monitoring 

Remote therapeutic monitoring through wearables impacts every part of the healthcare ecosystem. Patients gain safety and reassurance during recovery, hospitals and clinics reduce risks and costs, insurers benefit from earlier interventions that prevent expensive claims, and digital health platforms expand their role in managing long-term outcomes. Together, these advantages create a shared foundation for proactive, data-driven care.

For Patients

Patients recovering at home often face uncertainty, unsure if discomfort is normal or a warning sign. Wearable monitoring bridges this gap by offering real-time oversight and earlier responses if something goes wrong. This not only improves safety but also makes recovery less stressful and more engaging.

  • Peace of mind knowing recovery is tracked
  • Faster intervention if complications arise
  • Reduced need for frequent in-person follow-ups

For Hospitals

Hospitals face increasing pressure to deliver better outcomes while managing limited resources. RTM gives them a tool to extend care beyond discharge, ensuring high-risk cases are flagged early. It also strengthens their evidence base, supporting quality-of-care initiatives and funding negotiations.

  • Lower readmission rates and associated costs
    Stronger outcomes data for reporting and improvement
  • More efficient allocation of staff resources

For Insurers

For insurers, the appeal of RTM lies in its ability to cut preventable costs. Earlier detection means fewer complications, less intensive treatment, and reduced payouts. At the same time, it enables smarter reimbursement frameworks that reward proactive and effective care.

  • Reduced long-term costs from avoidable complications
  • Better tools for evaluating care quality and risk
  • Opportunities to integrate RTM into reimbursement models

For Digital Health Platforms

Digital health platforms can use RTM to expand their services into post-surgical recovery, an area traditionally limited to hospitals. By generating predictive insights and personalized feedback, they create more value for users while reinforcing engagement and trust in their solutions.

  • Expansion into post-surgical care use cases
  • Stronger evidence for predictive analytics in healthcare
  • Enhanced user engagement through personalized insights

What Are The Challenges of Adoption 

While remote therapeutic monitoring (RTM) offers enormous potential, healthcare organizations still face several obstacles when trying to implement it at scale. These barriers highlight the need for a thoughtful strategy and infrastructure to ensure RTM is both effective and equitable.

  • Integration complexity: Wearable ecosystems are fragmented, with devices collecting data in different formats and through separate platforms. For hospitals or insurers to act on this information, the data must be harmonized and standardized. Without interoperability, RTM risks adding complexity instead of reducing it.
  • Privacy concerns: Sensitive biometric and recovery data must be protected to maintain patient trust. Strict frameworks like GDPR and HIPAA require secure storage, encrypted transmission, and consent-driven access. Any breach could undermine adoption and stall innovation. Find more information on data regulation here
  • Clinical acceptance: Even with strong evidence, providers need solutions that fit seamlessly into their workflows. If RTM tools create extra steps or duplicate tasks, clinicians are less likely to use them. Successful adoption requires evidence-based validation, easy-to-read dashboards, and integration with existing EHR systems.
  • Equity of access: Not all patients own or can afford wearables. Unless payors and providers address these disparities, RTM could unintentionally widen healthcare gaps. Ensuring device availability, digital literacy support, and inclusive program design are essential for fairness.

In short, RTM is a promising frontier but requires tackling technical, regulatory, clinical, and social hurdles. Once these challenges are met, it can evolve into a reliable backbone of post-surgical and chronic disease care. For more information on handling health data from multiple sources, check our page here

How Thryve Contributes to RTM Adoption 

Healthcare systems are under pressure to cut costs while improving outcomes. Post-surgical complications are a major driver of both expense and patient suffering. Remote therapeutic monitoring provides a pathway to prevention: transforming passive recovery into active, data-driven care. The true power of RTM lies in predictive analytics. By analyzing wearable-derived data across thousands of patients, algorithms can identify patterns that flag complications days before they become visible. This not only reduces costs but also improves survival and recovery outcomes.

At Thryve, we help healthcare organizations unlock the potential of wearable-driven monitoring. With our API, we provide companies with: 

  • Seamless Device Integration: Easily connect over 500 other health monitoring devices to your platform, eliminating the need for multiple integrations.
  • Standardized Biometric Models: Automatically harmonize biometric data streams, including heart rate, sleep metrics, skin temperature, activity levels, and HRV, making the data actionable and consistent across devices.
  • GDPR-Compliant Infrastructure: Ensure full compliance with international privacy and security standards, including GDPR and HIPAA. All data is securely encrypted and managed according to the highest privacy requirements.  

Post-surgical care no longer has to be focused on traditional checkups. With wearables, providers gain eyes on recovery 24/7 and the ability to intervene before complications escalate. 

Ready to explore how remote therapeutic monitoring can cut costs and save lives?Book a demo with Thryve!

Friedrich Lämmel

CEO of Thryve

Friedrich Lämmel is CEO of Thryve, the plug & play API to access and understand 24/7 health data from wearables and medical trackers. Prior to Thryve, he built eCommerce platforms with billions of turnover and worked and lived in several countries in Europe and beyond.

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