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TrialKit Remote Patient Monitoring & Wearable Integrations

Wearable data collection and integration for decentralized clinical trials, capturing heart rate, activity, sleep, and sensor metrics in a unified study database.

Overview

TrialKit Remote Patient Monitoring & Wearable Integrations, developed by Crucial Data Solutions, is a unified platform designed to help clinical research teams collect and manage participant-generated health data from wearables and mobile-connected devices. Built with decentralized clinical trials (DCTs) and digital health studies in mind, TrialKit enables sponsors, sites, and data teams to capture continuous real-world data without the complexity of managing multiple disconnected systems.

TrialKit supports Apple Health, Google Health Connect, and Fitbit data sources, meaning any device or sensor that feeds into these ecosystems — including fitness trackers, smartwatches, connected health devices, and specialty sensors — can be used within a study. Additional device integrations can also be accommodated upon request, making the platform adaptable to a wide range of protocol requirements.

Types of Data Collected from Wearables

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

How Wearable Data Flows Into TrialKit

  1. Participant downloads the TrialKit mobile app
  2. Participant connects their preferred device or data source and authorizes data sharing
  3. TrialKit retrieves health and activity data via Apple Health, Google Health Connect, or Fitbit APIs
  4. Data is routed into visit schedules, CRFs, and study dashboards in structured fields
  5. Study teams — including sites, monitors, and data teams — review values in real time through CRFs, reports, and monitoring tools

Key Platform Capabilities

  • Multiple sources, one repository: TrialKit consolidates wearable data in the same secure environment as EDC, ePRO, and visit data, giving study teams a complete, centralized repository without managing separate systems.
  • High-volume data handling: The platform can ingest both common wearable metrics and high-frequency sensor data when supported by the device, enabling digital endpoints and continuous insights for modern studies.
  • Configurable study-level controls: Study builders can choose which metrics to collect, how often data should sync, and how values appear in the database — all configured through familiar TrialKit tools.
  • Real-time visibility for sites and monitors: Synced values appear inside CRFs, dashboards, and reports, allowing teams to quickly review trends, patient progress, and safety indicators.
  • Configurable alerts: Study teams can configure alerts for specific values or patterns, with notifications routed to the appropriate site roles.
  • Secure and compliant data governance: Role-based permissions and audit processes protect participant data, with access managed according to study roles and regulatory requirements.
  • Unified with every TrialKit module: Wearable data seamlessly aligns with ePRO, remote visits, and EDC workflows, enabling teams to work from a single platform rather than stitching together multiple vendors.

Supported Use Cases Across Therapeutic Areas

  • Chronic pain studies
  • Neurological and movement disorders
  • Cardiometabolic and diabetes studies
  • Respiratory conditions
  • Sleep research
  • Remote safety monitoring
  • Digital biomarker development
  • Hybrid and decentralized studies

TrialKit is deployed as a cloud-based platform with secure data storage, supporting both simple passive tracking and advanced digital endpoint configurations. Data syncs are based on device capabilities and API schedules, with the latest available values displayed inside study dashboards. Study teams are responsible for ensuring that chosen devices meet the validation requirements of their specific protocol. The platform's integration with EDC, ePRO, and remote visit modules makes it a comprehensive solution for sponsors and research organizations running modern decentralized or hybrid clinical trials.

Meta

Domain
Clinical Trial Management
Subdomain
Patient-Reported Outcomes (ePRO/eCOA) & Patient Engagement
Software type(s)
Analytical Platform
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
Academic / ResearchBiotechCRODiagnostics / IVDMedical DevicesPharma
Development stage(s)
Clinical
Target user(s)
Research ScientistClinical / Diagnostic ProfessionalIT / Systems Admin / Data Engineer
Compliance standard(s)
21 CFR Part 11HIPAAGDPR