Best EDC for wearable and sensor data studies

Vendors use the phrase wearable support to describe very different things. At one end, an EDC simply gives you a form where site staff type in a summary value from a device report. In the middle, a platform syncs device data into the study through the participant's own account, so no one retypes anything. At the other end, a specialist sensor platform ingests raw or high-frequency signals, processes them and delivers derived measures to the EDC. All three are legitimate, and the best choice is the one that matches your endpoint, not the one with the longest integration list.

Start by writing down what the device contributes to the study. An exploratory activity or sleep measure that adds context to clinic visits is a different requirement from a primary digital endpoint that needs a documented algorithm, validation and raw data retention. Many studies are the first kind, and for them a simple, auditable sync of daily summaries into the study record is exactly right. For the second kind, you will likely need a specialist pipeline alongside the EDC, a point made on our EDC for wearable device studies page and in digital biomarker validation study software.

The second question is participant burden. If every participant has to install an app, pair a device to a research phone or email files to a coordinator, adherence suffers. Connecting through a vendor sign-in on the participant's own account is lighter, but it depends on the participant already using, or being given, a compatible device. Whichever route, the EDC should show when data last arrived, so that a dead battery or a disconnected account is noticed in days, not at the end.

Capture connects devices through native OAuth rather than file import. The study team enables a device for a study and can mark it required; the participant then connects their own account from a study page through the vendor's sign-in. Data sync automatically, and the participant page shows the last-sync time with a Sync now button and a disconnect control. Oura is the device we name publicly; which other devices are configured depends on the study, so confirm yours before you rely on it. A longevity biotech has used this to bring Oura Ring data into a Phase 1 study alongside clinic and questionnaire data, which is the typical pattern: device data are one source among several, not the whole study.

Because device data sit in the same study as site forms, ePRO and eConsent, one participant has one record and one audit trail. Participant questionnaires, such as a sleep diary or mood tracker, can sit beside objective sleep or activity measures, and the HRV companion form is built for exactly that pairing. Consent for device data is covered by the wearable data sharing consent template. The surrounding controls, including the field-level audit trail, role-based access and EU or US hosting, are the same as for any other data.

Capture also has the standard EDC strengths: draft-to-approved form lifecycle, edit checks, calculated fields, query management and exports in CSV or Excel with an automatic data dictionary. See remote patient monitoring for clinical trials and EDC for longevity clinical trials for studies built around remote and device-based data.

Capture is not a raw-signal analytics platform. If your primary endpoint is a digital measure derived from high-frequency sensor streams, with algorithm validation and long-term raw data retention, you will need a specialist pipeline for processing, and Capture will hold the clinical dataset and any derived summary you bring into it. It is also not a device-regulatory system: it does not validate a device or certify a digital endpoint, and it does not replace the manufacturer's own data platform.

Two practical limits matter. The set of connectable devices is limited to what is configured, so a study built around a particular sensor needs a check first. And if your sponsor mandates its own EDC, you will use theirs. None of this is about phase: Capture is used for Phase 1, 2 and 3 studies, and a well-scoped device substudy inside a Phase 3 trial is a normal use case.

For the general market, see best EDC software in 2026. If your wearable study is decentralised, decentralized clinical trial software covers remote visits and consent, and teams using spreadsheets today should read how to migrate from Excel spreadsheets.