Do I need a wearable for remote patient monitoring to work?

For health systems evaluating remote patient monitoring (RPM) solutions, the conversation has historically centered on devices. The market is saturated with wearables, cuffs, and sensors designed to track patient vitals from home. However, a growing body of evidence and operational experience is revealing the limitations of this model. The logistical complexities and patient adherence challenges associated with hardware are leading hospital CMOs, population health VPs, and care-at-home directors to ask a critical question: is there a viable path to RPM without wearable devices? The answer is increasingly yes, as new technology shifts the paradigm from device-centric to patient-centric monitoring.

"Numerous studies on RPM effectiveness have reported patient adherence rates ranging from 37% to 88%. This wide range highlights a critical challenge in realizing the full potential of RPM programs, as low adherence can significantly limit their clinical and economic benefits.", The Journal of Medical Internet Research (2022)

The operational drag of device-based monitoring

For care-at-home program directors, the initial appeal of shipping a "kit" of devices to a patient is strong. It seems like a straightforward way to extend monitoring beyond the hospital walls. However, the operational reality is far more complex and costly. The focus on hardware creates significant downstream logistical burdens that many programs are unprepared to handle. This includes inventory management, shipping, device setup, troubleshooting, and perhaps most importantly, reverse logistics for retrieving, cleaning, and recalibrating devices.

These hidden costs are not trivial. Research shows that the monthly cost of RPM per patient can range from $150 to $300, a significant portion of which is tied to device logistics and the clinical staff required to manage them. For a health system scaling a program to hundreds or thousands of patients, these costs multiply quickly, eroding the potential ROI. Furthermore, the model creates a new set of potential failure points. A device can be lost in transit, fail to pair with the patient's home Wi-Fi, or simply be forgotten in a drawer. Each of these issues requires intervention, consuming valuable staff time and diminishing the patient experience. The concept of RPM without wearable technology directly addresses these operational pain points by eliminating the physical device from the equation.

| Feature | Device-Based RPM | RPM Without Wearable (Contactless) | | :--- | :--- | :--- | | Patient Onboarding | Requires shipping hardware, patient setup, and troubleshooting device pairing. | Utilizes patient's own smartphone; onboarding is software-based and instant. | | Logistics | Complex inventory, shipping, retrieval, and sanitation of devices. | No physical hardware to manage, store, or ship. | | Patient Adherence | Often low; requires patients to consistently find, wear, and use a separate device. | Higher potential adherence; uses a device the patient already uses daily. | | Data Capture | Intermittent; relies on the patient actively taking a measurement. | Can support passive or active measurements, offering more flexible data collection. | | Scalability | Limited by device availability and logistical capacity. | Highly scalable; not constrained by physical inventory. | | Operational Cost| High, due to hardware, logistics, and support staff. | Lower, with costs primarily related to the software platform. |

Industry applications for contactless monitoring

The move towards RPM without wearable devices is not merely a theoretical exercise; it is being driven by practical applications across various service lines where traditional RPM has struggled with adherence and cost.

Hospital-at-Home Programs

The success of a hospital-at-home program hinges on its ability to provide acute-level care in a residential setting safely and effectively. This requires frequent, reliable vital signs monitoring. Device-based approaches introduce friction, as patients recovering from acute illness are often the least likely to adhere to complex monitoring protocols. Contactless RPM, using a patient's own smartphone camera, removes this barrier.

• Simplifies daily check-ins for virtual nursing staff.
• Reduces the risk of device-related technical issues complicating care.
• Allows for easier scaling of programs without a linear increase in logistics staff.

Post-Discharge Monitoring

The 30-day post-discharge window is a high-risk period for readmissions. Health systems need a low-friction way to monitor patients recovering from procedures like cardiac surgery or managing conditions like heart failure or COPD.

• Patients can take measurements with their own phone, increasing the likelihood of compliance.
• Care teams receive timely data to intervene before a patient's condition deteriorates.
• Eliminates the need for patients to return equipment after the monitoring period ends.

Chronic disease management

For conditions like hypertension or diabetes, long-term monitoring is key to preventing complications. Wearable fatigue is a well-documented phenomenon; patients are unlikely to use a dedicated medical device for months or years on end.

• Software-based monitoring integrates more seamlessly into a patient's daily life.
• Provides a sustainable model for population health initiatives.
• Lowers the barrier to entry for underserved populations who may not have access to or be able to afford multiple devices.

Current research and evidence

The technological foundation for RPM without wearable technology is remote photoplethysmography (rPPG). This technique uses a standard camera to detect subtle, imperceptible changes in the color of light reflected by the skin. These changes correspond to the pulsing of blood through the vessels, allowing for the calculation of vital signs like heart rate, respiratory rate, and even blood pressure.

The field has seen a surge in academic and clinical research. A 2023 roadmap published in the journal IEEE Reviews in Biomedical Engineering highlighted the significant progress in rPPG algorithms, particularly those using deep learning to improve accuracy in real-world conditions with variable lighting and patient movement. Researchers like Wieringa et al. (2013) laid early groundwork, while recent advancements by institutions are pushing the technology toward clinical-grade reliability. Studies are now focusing on validating these contactless measurements against the gold standards used in hospitals. For example, research published in Nature Digital Medicine has demonstrated the feasibility of using smartphone cameras to accurately track post-operative recovery, indicating a strong potential for integration into clinical workflows.

The future of remote patient monitoring

The trajectory of RPM is clearly pointing towards a less hardware-dependent future. As health systems become more sophisticated in their virtual care strategies, the emphasis will shift from the device itself to the data it generates and how that data is integrated into care pathways. The future of RPM is one where monitoring is ambient, passive, and integrated into the patient's everyday environment. RPM without wearable devices is the first major step in this direction. It uses the one device a patient is guaranteed to have and use: their smartphone. This approach Solves the immediate challenges of logistics and adherence. Lays the groundwork for more advanced, ambient sensing technologies in the home.

As care-at-home models mature, health systems that master device-free data acquisition will have a significant competitive advantage. They will be able to scale programs more efficiently, engage patients more effectively, and ultimately, deliver better outcomes at a lower cost.

For hospital leaders, the question is no longer if remote monitoring is necessary, but how it can be implemented sustainably. The evidence suggests that removing the dependency on single-purpose hardware is the most viable path forward. Circadify is at the forefront of this shift, providing a camera-based solution designed for scalability and patient adherence. To learn how a contactless approach can reduce operational burdens for your health system, explore our RPM pilot program.

Frequently asked questions

Q: How can a smartphone camera measure vital signs? A: It uses a technology called remote photoplethysmography (rPPG). The camera detects tiny changes in the color of the skin on your face, which are caused by the pressure wave of blood moving through your vessels. Sophisticated algorithms analyze this video feed to calculate heart rate, respiratory rate, and other vitals.

Q: Is RPM without a wearable as accurate as a traditional cuff or sensor? A: The accuracy of camera-based monitoring has advanced significantly and is being validated against clinical-grade medical devices. While it's not intended to replace ICU-level monitoring, it provides reliable, trend-level data sufficient for many remote monitoring use cases, such as post-discharge follow-up and chronic condition management.

Q: What are the main benefits for a hospital switching to a no-wearable RPM model? A: The primary benefits are financial and operational. It eliminates the high costs associated with purchasing, shipping, and managing a fleet of medical devices. It also dramatically reduces the staff time spent on logistics and patient technical support, allowing clinicians to focus on clinical care. Finally, by making it easier for patients to participate, it can improve program adherence and the quality of data collected.

Q: Does this mean wearables will become obsolete in healthcare? A: Not necessarily. Wearables and dedicated medical devices will always have a place, especially for specific use cases requiring continuous, uninterrupted data streams (e.g., Holter monitors) or for patients who do not have access to a smartphone. However, for broad, scalable remote monitoring programs, the no-wearable model presents a more sustainable and patient-friendly alternative.