Remote Patient Monitoring

Leveraging mobile technology and connected devices in clinical trials

It's time to accelerate remote patient monitoring adoption

Remote patient monitoring makes it easier for patients to participate and improves recruitment through greater access to diverse patient populations.

The use and management of data from connected devices (wearables, sensors, smartphones, laptops, tablets), mobile platforms, and telemedicine, offers effective clinical care while protecting the patient with ongoing monitoring, ensuring participants and care providers remain connected wherever they are located.

Wearable devices and sensors also enable the collection of richer data and insights to enhance understanding of the effects of treatment and objective measures of intervention effects both in-clinic and in remote free-living settings.

Connecting and engaging patients

ICON Digital Platform gives patients more control and better access to personalised healthcare, right from their own devices and on their own schedule. Easy-to-use devices, with minimal set-up, makes engaging patients easier by integrating care into patients’ daily lives. Patients get full access to a powerful platform that offers interactive health sessions, educational content, and video conferencing.

However remote patient monitoring requires a robust strategy in data management, including digital endpoint validation and interpretation.

Our ICON Insights will help you to understand and successfully address the complexities of implementation of wearable devices in trial design, execution and reporting.

Whitepaper: Wearables and digital endpoint strategy and validation

Although mHealth devices and sensors are continuing to evolve, and it is now possible to capture a vast array of physiological data, the operationalization of digital trial is not without challenges.

  • Develop a strategy to identify devices that are "fit for purpose"
  • The ICON framework for Digital Endpoint selection and validation to ensure the outcome measurement is robust, reliable, and interpretable
  • Address the key considerations that arise when using digital technology to support endpoint generation in clinical studies such as Device Selection, Endpoint Reliability and Sensitivity, Meaningful Change Thresholds, and Analysis Strategy and Interpretation
  • Use our checklists for device selection and data strategy
Read the whitepaper

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