Share page on LinkedIn

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.

Getting to know your patients better with Health Harmony

Health Harmony simplifies planning and deploying remote care management for the clinician, participant, and family caregiver. Connecting in real-time from the comfort of their home, participants can experience an even wider and more efficient network of care. With apps in their hands, participants can track signs, symptoms, and conduct self-reporting and if symptoms escalate, remote monitoring and support from a healthcare professional can provide early intervention.

Connecting and engaging patients

Health Harmony 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.

Advancing digital endpoints

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

Media articles on wearables, sensors and remote monitoring

The value of measuring sleep and activity in Alzheimer's disease trials.

The value of measuring sleep and activity in Alzheimer's disease trials.

Sleep quality and quantity have clinical relevance in Alzheimer's disease. Review the use of wearables in Alzheimer’s disease to provide objective measures of sleep and activity patterns that are not subject to patient recall bias.

mHealth and wearables blogs

Real World Data insights

ICON's real world data (RWD) continues to drive healthcare and research discussions and decisions. Stay up to date with the latest information that regulators, payers and providers demand.

Read more

Receive more insights on mHealth & Wearables from ICON

Please visit ICON's Preference Centre and select 'mHealth/Wearables' under 'Topics of Interest' to receive new insights on oncology.

Receive new insights