EDC for Digital Health Clinical Trials

EDC for digital health clinical trials: ePRO, digital endpoints, and 21 CFR Part 11–aligned controls in one platform for DTx, SaMD, and digital biomarker studies.

21 CFR Part 11 aligned · HIPAA-aligned security · No credit card required

Digital therapeutics and SaMD: clinical trial requirements

Digital therapeutics (DTx) and software as a medical device (SaMD) products require clinical evidence for regulatory clearance or approval. The FDA’s Digital Health Center of Excellence and equivalent international bodies expect clinical trial data generated with the same rigor as pharmaceutical or traditional medical device trials. This includes documented informed consent, validated data capture with audit trails, and clear data provenance from collection through analysis. For DTx companies, this creates a practical challenge: the intervention itself is digital, but the clinical trial infrastructure must meet traditional regulatory standards. Many DTx startups begin their clinical programs with consumer-grade data collection tools, only to discover that regulatory reviewers expect EDC-grade data governance when they submit for clearance. Capture provides the clinical trial infrastructure DTx and SaMD companies need from the start. The platform’s 21 CFR Part 11–aligned controls, electronic consent, and comprehensive audit trails are designed for regulatory submissions. And because Capture is priced for the startup and growth-stage companies that dominate the DTx landscape, teams can deploy clinical-grade data capture without the enterprise budgets that legacy EDC platforms require.

  • Clinical trial data that meets FDA and international regulatory expectations for DTx and SaMD
  • 21 CFR Part 11–aligned audit trails and electronic signatures from day one of the study
  • eConsent with digital signature documentation for complete participant consent records
  • Startup-friendly pricing that avoids enterprise minimums and long-term contracts
  • Platform that grows with the company: free Sandbox for pilot studies, scaled plans for pivotal trials

Managing mixed data sources in digital health studies

Digital health studies frequently combine multiple data sources: clinician assessments at study visits, patient self-reported outcomes via mobile devices, and measurements from digital health technologies (apps, wearables, sensors). Managing these data sources coherently is essential for data integrity and for presenting a unified dataset to regulators, reviewers, and analysis teams. Capture’s integrated approach addresses the two most common data sources directly: clinician-entered CRF data and patient-reported ePRO data share the same platform, audit trail, and access controls. For the third source—device- or sensor-generated data—study teams can define structured CRF fields that capture or document device endpoints within Capture, ensuring that the complete clinical dataset is accessible in one export. This approach acknowledges a practical reality: most digital health trials measure their primary and key secondary endpoints through clinical assessments and patient-reported outcomes. Device data often serves as an exploratory endpoint or supports the mechanism-of-action narrative. By providing clinical-grade capture for the endpoints that drive regulatory decisions and a structured framework for documenting digital endpoints, Capture ensures the most critical data has the strongest compliance foundation.

  • Clinician CRF data and patient-reported ePRO data in one platform with one audit trail
  • Structured CRF templates for documenting device-generated endpoints in the clinical dataset
  • Unified export combining clinical, ePRO, and documented device data for analysis
  • Primary and key secondary endpoints captured with full 21 CFR Part 11–aligned controls
  • Flexible data model adapts to diverse digital health study designs and endpoint structures

Regulatory expectations for digital health trial data

Regulatory agencies worldwide are developing and refining frameworks for digital health clinical evidence. The FDA’s guidance on digital health technologies as remote data acquisition tools in clinical investigations, the EU MDR requirements for software-based medical devices, and ICH E6(R3) modernization of GCP all emphasize that digital health data used in regulatory submissions must meet the same data integrity standards as traditional clinical trial data. For digital health companies, these expectations translate to specific requirements: electronic signatures for informed consent, comprehensive audit trails documenting every data point from creation through modification, role-based access controls preventing unauthorized data changes, and validated data export for statistical analysis and regulatory review. Capture’s compliance architecture addresses these requirements natively. The 21 CFR Part 11–aligned controls provide the electronic signatures, audit trails, and access controls that regulatory submissions require. HIPAA-aligned security protects participant data. And the Enterprise tier provides validation documentation that supports the sponsor’s regulatory submission strategy. For digital health companies planning regulatory submissions, using a compliant EDC from the earliest clinical studies avoids the costly scenario of re-running or supplementing studies because the original data capture system did not meet regulatory expectations.

  • 21 CFR Part 11–aligned controls meeting FDA and international regulatory expectations
  • HIPAA-aligned security for participant health information across data sources
  • Enterprise validation documentation supporting regulatory submission strategies
  • Comprehensive audit trails from data creation through export for regulatory review
  • Compliance foundation from earliest studies avoids re-work for pivotal regulatory submissions

Overview

EDC for Digital Health Clinical Trials

Digital health clinical trials evaluate digital therapeutics (DTx), software as a medical device (SaMD), mobile health interventions, or digital biomarkers alongside traditional clinical endpoints. These trials generate data from multiple sources: clinician assessments during study visits, patient-reported outcomes collected via mobile devices, and digital endpoints derived from apps, wearables, or sensors. The EDC system must bring this heterogeneous data into a unified, auditable framework. The challenge for digital health trial teams is integration. Many digital health studies cobble together a clinical EDC for site-entered data, a separate ePRO vendor for patient-reported outcomes, a third platform for app- or sensor-generated data, and yet another system for informed consent. This fragmentation creates operational complexity: multiple logins for coordinators, separate audit trails that must be reconciled during monitoring, and integration costs that consume development resources better directed at the intervention itself. Capture addresses this by providing EDC, eConsent, and ePRO in one integrated platform with 21 CFR Part 11–aligned controls and HIPAA-aligned infrastructure. For digital health trials, this means clinician-entered CRF data and patient-reported outcomes share a single audit trail, consent is documented electronically within the same system, and the entire clinical dataset is accessible for monitoring and export without cross-system reconciliation. For wearable- or sensor-generated data that cannot be captured directly through Capture’s ePRO instruments, the platform supports structured documentation of device-collected endpoints alongside the clinical dataset. The study team defines the data model for device endpoints in Capture’s CRF builder, and data flows into the same export with all other study data. This approach ensures that the core clinical and patient-reported data—which constitute the primary and key secondary endpoints in most digital health trials—are captured in one compliant system.

Why digital health trials need a unified EDC

Digital health trials face a unique convergence of clinical trial regulation and health technology complexity. Regulatory agencies including the FDA have issued guidance on digital health technologies (DHTs) used as endpoints in clinical investigations, emphasizing the importance of data integrity, participant consent documentation, and audit trails that cover the complete lifecycle of clinical data—regardless of whether the data originates from a clinic visit, a mobile app, or a wearable sensor. Traditional enterprise EDC platforms were designed for pharmaceutical trials with site-centered workflows. They handle CRF data well but treat ePRO and digital endpoints as bolt-on integrations requiring separate vendors, middleware, and reconciliation. For a startup developing a digital therapeutic, or a medical device company evaluating a companion app, these integration costs and timelines are disproportionate to the study scope. At the other end, lightweight data collection tools (survey platforms, consumer app analytics) may gather digital health data efficiently but lack the audit trails, electronic signatures, access controls, and data governance that regulatory submissions require. Capture occupies the right position for digital health trials: clinical-trial-grade compliance with modern, integrated modules for the data types digital health studies actually generate. ePRO is built into the platform—not bolted on—so patient-reported outcomes are captured with the same 21 CFR Part 11–aligned controls as clinician-entered data. eConsent documents participant agreement within the same system. And the browser-based CRF builder allows rapid iteration on study design, which matters in the fast-moving digital health development cycle.

Common digital health clinical trial workflow

  • Protocol design: define clinical, ePRO, and digital endpoints; determine data sources and capture frequency
  • EDC build in Capture: CRFs for clinical visits, ePRO instruments for patient-reported endpoints, eConsent forms
  • IRB/ethics submission with consent documentation; sponsor and CRO review of EDC design
  • Site activation and coordinator training; participant enrollment with electronic informed consent
  • Clinical visit data capture: clinician CRFs, clinical assessments, lab results, and adverse event logging
  • ePRO administration: scheduled questionnaires delivered to participant mobile devices; real-time completion tracking
  • Digital endpoint documentation: device- or app-generated data entered or imported into the Capture dataset
  • Ongoing monitoring: data review, query management, and compliance checks across all data sources
  • Database lock and export: unified dataset including clinical, ePRO, and digital endpoint data for statistical analysis
  • Regulatory submission preparation: audit trail documentation, consent records, and data listings

Traditional tool pain points

  • Fragmented systems: separate EDC, ePRO, and device platforms with no unified audit trail
  • Integration costs that consume development resources: middleware, APIs, and reconciliation workflows
  • Enterprise EDC pricing and timelines disproportionate to digital health study budgets and timelines
  • Regulatory risk from inconsistent data governance across multiple systems
  • Consent processes managed outside the EDC, creating gaps in participant documentation
  • Limited ePRO flexibility: enterprise ePRO vendors charge per-instrument or per-participant fees that scale poorly
  • Difficulty iterating on study design as digital health protocols evolve during development

How Capture supports digital health clinical trials

  • Unified EDC, eConsent, and ePRO in one platform—eliminating cross-system integration for the core clinical dataset
  • ePRO with 10+ question types, skip logic, scheduling, and participant notification for mobile administration
  • eConsent with digital signatures, consent versioning, and audit trail—all within the same system as data capture
  • Browser-based CRF builder for rapid study design iteration as digital health protocols evolve
  • One audit trail covering clinical, ePRO, and consent data for monitoring and regulatory review
  • 21 CFR Part 11–aligned controls (electronic signatures, audit trails, role-based access) for regulatory submissions
  • HIPAA-aligned security for participant health data across all data types
  • Structured CRF templates for documenting device- or app-generated endpoints alongside clinical data
  • Data export in analysis-ready formats for statistical analysis, regulatory submission, and publication
  • Pricing designed for the startup and growth-stage companies common in digital health—not enterprise minimums

FAQ

Questions we hear a lot

Is Capture suitable for digital health clinical trials?
Yes. Capture includes EDC, eConsent, and ePRO in one platform with 21 CFR Part 11–aligned controls. This provides the unified data capture that digital health trials require for clinical, patient-reported, and documented digital endpoints.
Can Capture collect data from wearables or sensors?
Capture’s ePRO module captures patient-reported outcomes on mobile devices. For wearable or sensor data, you can define structured CRF fields in Capture to document device endpoints alongside clinical data. The platform does not directly ingest raw device data streams but provides a compliant framework for the complete clinical dataset.
Do we need a separate ePRO vendor?
No. Capture includes ePRO natively with 10+ question types, skip logic, scheduling, and mobile administration. Patient-reported outcomes share the same audit trail and compliance controls as clinician-entered CRF data.
Is Capture appropriate for DTx or SaMD clinical trials?
Yes. Capture provides the regulatory-grade data capture that DTx and SaMD companies need for FDA and international submissions: electronic consent, 21 CFR Part 11–aligned audit trails, and structured data export.
How does Capture handle consent for digital health studies?
eConsent is integrated within Capture. Participants provide digital signatures, consent is versioned and tracked, and the complete consent record is part of the same audit trail as the clinical data.
What about FDA guidance on digital health technologies in clinical investigations?
Capture’s compliance architecture (21 CFR Part 11–aligned controls, HIPAA-aligned security, comprehensive audit trails) aligns with FDA expectations for data integrity in clinical investigations using digital health technologies.
Can we iterate on study design quickly?
Yes. The browser-based CRF builder supports rapid study design iteration. This is important for digital health protocols that may evolve as the intervention is refined during clinical development.
What pricing model does Capture use?
Capture offers a free Sandbox for study design, with paid tiers scaling by study size. The pricing is designed for startups and growth-stage companies, avoiding the enterprise minimums and long-term contracts common with legacy EDC platforms.
Can we export data for regulatory submissions?
Yes. Capture exports data in structured, analysis-ready formats suitable for statistical analysis, regulatory submission preparation, and publication.
How do we handle multiple data sources in the export?
Clinical CRF data and ePRO data export from a unified dataset. Device or sensor data documented in structured CRF fields is included in the same export. This provides a coherent dataset for analysis without cross-system reconciliation.
Does Capture support multi-site digital health trials?
Yes. Capture supports multi-site studies with site-level access controls, centralized monitoring, and role-based permissions appropriate for digital health trial team structures.
What compliance documentation is available?
Capture provides 21 CFR Part 11–aligned controls and HIPAA-aligned security as standard features. The Enterprise tier includes validation documentation to support sponsor regulatory submission strategies.

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