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We deliver the expertise, operational oversight, and technical assets to design, deploy, and analyze digital endpoints from wearable sensors.

Removing the Burden of Deploying DHTs and Changing Patients’ Lives with Novel Digital Endpoints

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Wearable sensors enhance return on investment (ROI) in clinical trials by increasing precision and efficiency in data collection. Traditional trials rely on periodic, clinic-based assessments, which can lead to gaps in data and potential inaccuracies due to patient recall bias. Wearables, however, provide continuous, real-world monitoring of key biomarkers such as activity levels, heart rate, and sleep patterns, offering a more granular and objective view of patient health. This high-quality data improves the accuracy of outcomes, reduces variability, and enhances the ability to detect treatment effects sooner, ultimately shortening trial timelines and accelerating regulatory approvals. 
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In addition to improving data quality, wearable sensors streamline trial operations and reduce costs associated with patient monitoring. By minimizing the need for frequent site visits and manual data entry, these devices lower logistical burdens and administrative expenses. Remote monitoring also enables decentralized trial designs, expanding access to a more diverse patient population while reducing dropout rates. With fewer inefficiencies and a more engaged participant pool, clinical trials leveraging wearable technology can achieve faster, more cost-effective results, significantly improving the ROI for sponsors and stakeholders.

Precision & Efficiency

Wearable sensors are transforming clinical trials by placing patients at the center of research, enhancing convenience, and improving data accuracy. These devices enable passive, real-time data collection in a patient’s natural environment, reducing the need for frequent site visits and minimizing disruptions to daily life. By continuously monitoring key health metrics such as activity levels, heart rate, and sleep patterns, wearable sensors provide a more comprehensive and objective picture of a patient’s health. This shift from episodic, clinic-based assessments to continuous, real-world monitoring allows researchers to capture more meaningful insights while reducing the burden on participants. 
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Beyond convenience, wearable sensors foster greater patient engagement and empowerment in clinical trials. When participants can track their own health data, they often feel more involved in the research process and their own care, which can lead to higher adherence and retention rates. Additionally, real-time monitoring enables earlier detection of adverse events or disease progression, allowing for more timely interventions and personalized treatment adjustments. By aligning clinical trials more closely with patients’ everyday experiences, wearable sensors help create a more patient-centric approach to drug development, ultimately leading to more effective and relevant therapies.

Patient Centricity

Digital measures, such as wearable sensors, mobile apps, and other connected devices, significantly improve the overall data quality in clinical trials by providing consistent, real-time data collection. Traditional trials often rely on self-reported outcomes and intermittent clinic visits, which can be subject to recall bias and inconsistencies. Digital measures, however, collect objective, high-frequency data directly from patients&#8217; daily activities, offering a much more accurate and detailed view of health metrics like physical activity, sleep, and vital signs. This continuous data stream enhances the precision of study outcomes, reduces variability, and ensures more reliable results, improving the overall data quality and validity of the clinical trial findings. 
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Moreover, digital measures offer clearer assessments of feasibility by allowing researchers to track patient behavior and treatment effects in real-world settings. The continuous monitoring provided by digital tools uncovers subtle changes in patient&#8217;s health that may not be apparent in traditional clinical visits, offering deeper insights into treatment efficacy and safety. These tools can also identify early signs of adverse events, enabling timely interventions. Digital measures allow researchers to assess how interventions perform in a more natural, real-world context, providing more meaningful insights into treatment effects and helping refine trial protocols. By offering real-time, granular data and enabling more precise assessments, digital measures improve feasibility and accelerate the development of effective therapies.

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