Remote Patient Monitoring (RPM) is an integrated approach that employs technology-backed medical devices to gather physiological and biometric data from patients that is electronically transmitted for remote analysis, review, and, when necessary, interventions and preventive care. Advances in network technologies, connected devices, medical wearables, sensors, data analytics algorithms, and software are paving the way for efficient data collection in remote clinical trials and the delivery of advanced healthcare.

Traditionally, patients had to physically arrive at hospitals or research centers to participate in clinical trials. However, the pandemic and the lockdowns that followed compelled the industry to come up with innovative ways to collect patient data. Decentralized Clinical Trials (DCTs), based on remote data collection and timely data analysis, proved to be indispensable to the clinical research industry over the last two years. As the industry emerges from the pandemic, organizations will continue to accelerate DCT adoption and convert piecemeal deployments into a comprehensive strategy.

This report examines the present state of RPM in decentralized trials, the drivers and challenges facing RPM, and the future state of RPM, as well as shares an approach to successfully implement an RPM solution.

Scope

• Industry: life sciences
• Geography: global

Contents

In this viewpoint, we:

• Examine the present state of RPM
• Evaluate the drivers and challenges for RPM
• Share the future outlook for RPM
• Provide a roadmap for the successful implementation of an RPM solution

Membership(s)

Life Sciences Information Technology

Sourcing and Vendor Management