Patient Sensor Solution to Transform Clinical Trial Data Collection

PAREXEL International Corporation launches its patient sensor solution, an offering that securely captures, transmits, stores, and visualizes study subject data in clinical trials. The paradigm is powered by the Perceptive MyTrials® Analytics platform, enables an end-to-end services and technology solution that facilitates the remote collection of study subject data via medical devices. Collection of clinical data via wearables and sensors could replace or reduce the number of clinical assessments and/or on-site visits during clinical trials. This could potentially reduce the burden on trial participants and sites as well as decrease trial costs. Wearable monitoring solutions also allow data to be collected more often. Frequent collection of this data can provide real-time meaningful insights into a study subject’s behavior and health outside of visits, supporting better compliance and real-time user feedback.

PAREXEL’s clinical trial expertise and the ability to collect sensor-based data is designed to create efficiencies for sponsors, eliminating the need to contract separately for wearable third party devices to leverage sensors in a clinical study. According to Frost and Sullivan, the global market for wearables in healthcare is expected to reach $18.9 billion in 2020.1

The PAREXEL patient sensor solution supports the generation of real-world data that can demonstrate value beyond the data collected during site visits. To deliver this solution, the Company has partnered with technology providers, including OSIsoft, to capture, securely transmit, store, and monitor data, as well as generate alerts based on the potentially large volume of time-series data from sensors.

The patient sensor solution is a complementary extension of PAREXEL's current services, and is available through the Perceptive MyTrials® platform. It is also available through the Company's PAREXEL Partner Program.

For more information, visit https://www.parexel.com/solutions/informatics/patient-sensors
 

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