Remote Patient Monitoring and Wearable Integrations

Broaden the quality and quantity of data collected in decentralized clinical trials with wearable technology

The latest technology advancements for mobile devices and wearables are driving a paradigm shift in the clinical research landscape. Measurements and tests traditionally conducted at the site are now being performed remotely by study participants with wearables like smartwatches. These wearables increase the frequency of data collection and data integrity providing real-time accessibility, all within the TrialKit database. Together, let’s modernize the research process for optimal patient centricity and improved outcomes.

Collect real-world data for more informed decision-making

Gone are the days of unnecessary site visits for simple measurements that are now accomplished in the comfort of patients’ homes. The inherent functionality of mobile devices and smartwatches empowers study participants to remotely conduct tests and easily submit the data in TrialKit’s mobile app for real-time access by the research team. Incorporate these health metrics into clinical trials out-of-the-box with TrialKit:

Apple Activity Rings

ECG

Heart Rate Snapshot

Heart Rate Variability

Range of Motion

Resting Heart Rate

Sleep Patterns

SpO2

Step Activity

Collect real-world data for more informed decision-making

Gone are the days of unnecessary site visits for simple measurements that are now accomplished in the comfort of patients’ homes. The inherent functionality of mobile devices and smartwatches empowers study participants to remotely conduct tests and easily submit the data in TrialKit’s mobile app for real-time access by the research team. Incorporate these health metrics into clinical trials out-of-the-box with TrialKit:

Directly integrated with HealthKit™
and Google Fit for access to patient data

Apple and Google are revolutionizing the way people interact with their health data in today’s mobile-centric world. The TrialKit platform has carried this approach into clinical research by integrating with HealthKit and Google Fit for an even wider array of data available for use in clinical trials. Study participants give permission for the research team to access their data in HealthKit or Google Fit by simply toggling a button in the TrialKit mobile app.

Want to incorporate other Bluetooth-enabled devices in clinical trials?

TrialKit’s integration capabilities extend beyond today’s most common smartwatches. The platform’s modern API allows you to directly integrate other Bluetooth technologies, such as medical devices (blood pressure monitors, CPAP machines, continuous glucose monitors, etc.), smart jewelry and smart clothing, hearables, and more. Reimagine the possibilities for data collection with new, practical modes of entry. Ready to learn more about the Internet of Medical Things (IoMT)?

Lessen the burden on study participants

Configure studies in TrialKit to automatically gather data from wearables continuously or in predefined time increments. Study participants can contribute health data while carrying out daily tasks, such as working, getting groceries, or exercising as their smartwatch takes measurements in the background. By utilizing the technology available to us, we enable patients to participate in clinical trials daily with minimal added effort or interruption to their lives.

Centralize data from wearables in an
end-to-end solution

Conducting decentralized trials shouldn’t require multiple disparate software solutions to gather and manage data from various sources. With TrialKit, the data collected from wearable technologies resides in the same centralized cloud-based repository as the rest of the study data and metadata for more efficient trial operations. And, all data is accessible by any member of the research team with applicable role-based access.

We rely on TrialKit to document the collection of dried blood samples and upload data from users' mobile devices to secure storage in the cloud. Collaborating with the experienced TrialKit team has been a very cost-effective method to rapidly design and test a capable and polished product.

Founder and CEO, Biotechnology Company
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