Electronic data capture built for Phase 1 trials: protocol flexibility, safety reporting, and 21 CFR Part 11–aligned controls without enterprise overhead.
21 CFR Part 11–aligned · HIPAA-aligned security · No credit card required
Common Phase 1 designs include single-ascending-dose (SAD), multiple-ascending-dose (MAD), food-effect, and bioavailability studies. Each design follows a similar pattern—screening, dosing, intensive PK and safety follow-up—but differs in the number of cohorts, sampling schedules, and review points. Capture lets you configure each of these patterns once and then reuse them across related protocols, so your team is not rebuilding CRFs and visit schedules every time you launch a new early-phase study.
Monitors and inspectors focus on traceability: they want a clear link from protocol and consent through dosing decisions, safety assessments, and data exports. In practice this means consistent CRF layouts, clear audit trails for any mid-study changes, and the ability to reconstruct exactly what happened at a given time point. Capture helps by keeping consent, CRFs, and AEs in one system with detailed audit history and role-based access, so your team can respond quickly to questions during monitoring visits or inspections.
In Capture, Phase 1 workflows are implemented using the same building blocks described elsewhere on the site: eConsent for informed consent, CRFs for PK, safety and lab data, ePRO when you need participant-reported measures, and configurable visit schedules and roles. The goal is to keep everything visible in one place so coordinators, investigators, data managers and monitors can rely on a shared view of the study, while still aligning with your existing validation and governance processes.
Overview
Phase 1 clinical trials focus on safety, tolerability, and pharmacokinetics in a small number of healthy volunteers or patients. These studies generate dense safety and PK/PD data, require frequent protocol amendments as early data emerges, and need to move quickly from protocol approval to first subject in. Designs often include single-ascending-dose (SAD), multiple-ascending-dose (MAD), and food-effect cohorts, each with its own schedule of assessments, sampling windows, and safety follow-up. That translates into a lot of structured data: vital signs and ECGs at specific time points, serial PK samples, repeated safety labs, and careful documentation of adverse events and concomitant medications. Your EDC must support rapid build and go-live, flexible visit and form design for complex sampling schedules, adverse event capture with proper follow-up, and full auditability—without the cost and complexity of systems built for large Phase 3 programs. It also has to be understandable for lean site teams who may be using a modern EDC for the first time, while still providing the audit trails and access controls that monitors, QA, and inspectors expect. When you add in the realities of limited internal IT support and tight development timelines, Phase 1 teams benefit from an EDC that emphasizes configuration over custom development and can be reused as a blueprint across multiple early-phase protocols.
Phase 1 studies often have smaller teams, tighter timelines, and protocols that change as early data comes in. You need an electronic data capture system that can be configured quickly, supports safety and lab workflows, and maintains audit trails and access controls suitable for regulatory scrutiny. Unlike Phase 3, you typically don’t need hundreds of sites or complex global supply chains—you need agility, clear audit trails for inspectors, and the ability to amend visits and forms without months of change control. Sponsors and CROs running Phase 1 also need cost-effective tools that scale with cohort size rather than enterprise licensing models. In practice that means being able to add or adjust PK sampling time points, change visit windows, or refine safety follow-up forms without triggering long vendor projects. It also means having a system that can support different flavors of Phase 1 (SAD, MAD, bioavailability, food-effect) without designing everything from scratch each time.
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