Remote Patient Monitoring And Wearable Integrations In TrialKit

Connect wearables through a single unified platform

TrialKit supports Apple Health, Google Health Connect, and Fitbit data sources. Any device or sensor that sends data to these ecosystems can be used in a study, including popular fitness trackers, smartwatches, connected health devices, and specialty sensors. Integrations with additional devices can also be accommodated upon request.

Capture a Wide Range of Health, Activity, and Sensor Data

TrialKit can collect many types of participant-generated data from wearables and mobile-connected devices. These data points flow into study records to support digital endpoints, remote assessments, symptom tracking, and continuous monitoring. Common data types include:

• Additional metrics depending on the device and protocol
• Steps and activity minutes
• Heart rate and heart-rate variability
• Sleep duration and sleep stages
• SpO2
• Temperature
• Mobility and gait metrics
• Passive background activity
• Pain entries captured through the TrialKit app
• Raw sensor streams when supported by the device

How Wearable Data Flows Into TrialKit

Participants use the TrialKit mobile app to authorize data sharing from their devices. TrialKit retrieves data from Apple Health, Google Health Connect, or Fitbit APIs and routes it into visit schedules, CRFs, and study dashboards. Sites, monitors, and data teams can review those values in real time. The process is simple for participants and sites:

• Participant downloads the TrialKit app
• Participant connects their preferred device or data source
• TrialKit retrieves health and activity data via API
• Data appears inside the study database in structured fields
• Study teams view data through CRFs, reports, and monitoring tools

Why Choose TrialKit For My Decentralized Clinical Trial?

Integrating data from multiple data sources creates data management nightmares. Keep your team sleeping peacefully by using a data capture and management platform built with mobile in mind.

Works with Apple Health, Google Fit, and Samsung Health

Capture signs of abnormal gait, heart abnormalities and other metrics right when they happen with the combination of a smart device and the TrialKit mobile app. Once patients submit data through the app, the research team can analyze the results and make decisions fast. All this, right out of the box.

Bring in Bluetooth

Directly integrate with Bluetooth-enabled blood pressure monitors, CPAP machines, and other medical devices for smooth-running remote patient monitoring initiatives. Incorporate data from smart clothing, rings, hearing aids, and more for a more robust clinical picture.

Unlimited integration

TrialKit’s open API approach allows you to directly integrate wearable devices and Bluetooth-enabled medical devices. If there’s a device to measure it, we can integrate it.

Run patient-centric trials

Collect important health data without requiring your patients to jump through hoops. With the app running in the background, a wearable gathers valuable data while your patients live their lives. This makes it easier for patients to participate and stay engaged, which does wonders for adherence and retention.

Multiple sources, one repository

Ease the burden on your data managers with a decentralized clinical trial model based on a unified solution. TrialKit houses wearables data in a centralized cloud-based repository—the same repository used for study data and metadata—for easy access. Role-based permissions help protect data privacy.