Wearables and personal trends
Everyday signals.
Personal context.
Share supported Apple Health and Health Connect records with permission. Review symptoms and within-person trends alongside what was actually collected.
Reach more patients. Support every review.
Connect enrollment, consent, wearable data, check-ins, safety review, and results through a participant app and research workspace. Bring supported activities closer to home, with the study records your team needs for review.
Preview access: iOS TestFlight and Android testing sign-up.
Research command center
One study, two views
Participant and research views, together.
Three ways in
However you get the treatment, the study comes to you.
Some studies ship an investigational drug to your door. Some follow a therapeutic you and your clinician already chose. Some you design and run yourself. Placebo-controlled, observational, or n = 1 — review each path’s eligibility, consent, privacy, and oversight arrangements. A personal self-trial differs from an investigator-led clinical trial.
Randomized · Placebo-controlled
The study ships it to you
Some interventional studies arrange delivery of investigational treatment after screening and consent. They may use randomization and placebo controls. Your study team explains treatment, visits, check-ins, and safety arrangements before you join.
Browse open studiesObservational · Real-world data
Bring the treatment you’re already on
Taking a therapeutic your clinician prescribed? An eligible observational study can collect check-ins and supported health records about that experience. Treatment decisions remain with you and your clinician; the study defines what it observes.
How patients take partN-of-1 · Single subject
Run a self-trial of your own
No study to join yet? Structure a personal question around a routine or a change discussed with your clinician. Repeated observations, single-subject analysis, and uncertainty help you assess a pattern without treating it as proof of treatment effectiveness.
How self-trials workThe DCT journey
Forty-four stops. One line from patient input to proof.
See exactly where TrialPilot supports a decentralized study, where the product has a distinctive advantage, and where sponsor-led work remains outside the platform.
TP
TrialPilot DCT line
One continuous route from plan to proof
44mapped stops
- 1
Plan
10 stops
Make the study operable before launch.
- Patient input
- Protocol design
- Data flow
- 2
Setup
11 stops
Turn the protocol into participant-ready workflows.
- Consent
- eCOA
- Wearables
- 3
Conduct
13 stops
Run the study with a continuous view of risk and progress.
- Safety signals
- Adherence
- Remote monitoring
- 4
Close
10 stops
Move cleanly from final visit to defensible evidence.
- Database lock
- CDISC export
- Participant results
Every stop declares what TrialPilot covers, what remains sponsor-led, and the live product evidence behind the claim.
Latest participant experience
The clinical trial app that works with real life.
The participant experience keeps supported progress intact, keeps supported work moving through weak connections, and makes the next step clear. Less friction for people. More continuity for the study.
Pause. Your place is saved.
Save supported assessment progress, take a break, and resume within the study window. Check whether progress is saved on the device or received by the study.
Weak signal. Strong continuity.
Supported mobile check-ins, symptom reports, and study actions can queue on the device and synchronize when the connection returns. Consent and security-sensitive actions require a connection.
See what's saved. Know what's next.
TrialPilot shows when your work is saved or waiting to sync, then gives you a clear way forward if something needs attention.
Your place is saved. Come back when you are ready.
Connected platform
One source of truth. Two points of view.
Researchers get a study workspace. Participants get a calm, guided app. Study records connect the two as data synchronizes, with de-identified coordinator views and context about freshness and missing observations.
Enrollment
One link. One scan. A way into the study.
Share a study link or QR code in an email, post, or clinic flyer. Participants open the study, review eligibility, and follow screening and consent. If an app install is needed, keep the study code and joining instructions to continue.
From invitation to enrollment
Scan. Review. Decide.
A study invitation opens the exact study in TrialPilot, where every participant can understand what is involved before choosing to enroll.
Invitation
Scan the invitation
✓
Enrollment confirmed
You’re in the study
Consent signed · Study active
- 1
Scan the invitation
One link works in email, social, and print.
- 2
Review the real study
See the purpose, timeline, and eligibility first.
- 3
Accepted into the study
Consent is signed and the study becomes active in the app.
The platform
Designed for research without walls.
Illustrative workflow components; example records are not live study results.
Engagement · this weekExample
PT-4471
On track
PT-4472
Reach out
PT-4473
On track
PT-4474
On track
Completion patterns guide follow-up
Retention
See engagement changes sooner
Engagement analytics show completion and missing-data patterns, helping coordinators decide where to follow up. A signal does not establish that a participant will drop out.
Example · resting HR
62bpm
HRV
48ms
Steps
6.2k
Sleep
7.1h
Apple Health · Health Connect · supported records
Wearables
Continuous real-world data
Bring together supported health records from Apple Health and Health Connect with participant reports. Measurements depend on the device, permissions, and synchronization.
Remote · this weekExample
Check-in · from home
PT-4471
Wearable · passive sync
PT-4472
Weekly assessment
PT-4473
Review activity and follow-up needs
Remote monitoring
Meet patients where they are
Asynchronous check-ins and supported health sharing help people complete eligible activities from home. Study teams review the available information under their protocol.
Patient matching
Cohorts that look like the world
Use study criteria, self-screening, and coordinator review to evaluate eligibility. Plan outreach and participant support deliberately; representative enrollment must be measured.
Global access
Research without borders
Bring eligible activities closer to rural and underserved communities. Study locations, approvals, equipment, language, and support needs still determine who can participate.
Beyond data collection
Insight that stays connected to the person.
Go beyond questionnaires with participant reports, supported health records, safety workflows, and personal self-trials. Keep observations and their limits visible to the people interpreting them.
Safety & real-world physiology
Record adverse events, review post-exertional symptom patterns, and explore personal pacing context alongside supported health data. Safety responses follow study procedures.
Patient-led self-trials
A structured single-subject study with repeated measures and analysis in the app. Read estimates alongside uncertainty and discuss treatment decisions with your clinician.
A result with context at a glance
Review within-person results with data availability and uncertainty, and use study reporting instructions for safety concerns. A trend is not a diagnosis.
An illustrative within-person results screen. Available results depend on the study and what its team releases.
For researchers
Illustrative study workflows. Configure and qualify them for your protocol.
Everything the science demands.
Allocation · adaptiven = 248
Placebo20%
Arm A16%
Arm B44%
Arm C20%
Interim analysis · shifted toward what works
Adaptive & platform trials
One protocol that keeps learning
Perpetual, multi-arm designs with response-adaptive randomization inside preset guardrails — and a blinding firewall so interim looks stay where they belong.
ConnectionsREST API
EHR / EMR
Scope a connection
Labs
Validate an interface
Wearables
Apple Health · Health Connect
Research
Available APIs · exports
Integrations
Connect your ecosystem
Connect research tooling through available APIs and exports. EHR, laboratory, and vendor connections require separate scoping and validation.
Safety queuePrioritized
Resting HR sustained above threshold
AE-2043 · PT-4472 · wearable
Missed two scheduled check-ins
AE-2044 · PT-4471 · engagement
Symptom score returned to baseline
AE-2045 · PT-4468 · resolved
Follow-up follows the study’s procedures
Safety monitoring
Safety reports and follow-up
Bring participant reports and available observations into safety review, with escalation and follow-up recorded under the study’s procedures.
Trial of recordExample
Recorded consent signatures
Immutable audit trail
IRB approval on file
Edit checks · queries resolved
CDISC SDTM + define.xml
ReadyManaged study data
Clean data, all the way to export
Electronic data capture, edit checks, coding review, database locks, and supported CDISC exports. Licensed dictionaries require a separate connection; qualify outputs for the study.
02 / For the research team
From the first protocol
to the final review.
The work changes as a study moves forward. Explore the workspace that keeps its configuration, people, and records connected.
Start with the protocol.
Bring design, eligibility, assessments, consent, and visits into Study Builder. Keep protocol versions and launch requirements in view as the study takes shape.
- Study configuration
- Protocol versions
- Startup checks
03 / Beyond the study visit
There’s a life
between the data points.
Participant reports and supported device records offer different perspectives. TrialPilot keeps those observations connected to their context.
Everyday signals.
Participant-led self-trials
A personal question.
A structured exploration.
Define a question and measures, track observations, and review change over time. Early findings come with uncertainty, so you can keep them in perspective.
In development / Coming next
Fewer things
to keep track of.
A more flexible activity plan. A clearer week ahead. Help with a visible next step. Here’s a look at the next participant experience.
These features are in development and are not yet released.
01Choose the activities your study needs.
Configure questionnaires, check-ins, wearable sharing, visits, intervention logs, supplies, and payments. Optional work stays separate from required completion.
Read the details →02One plan for the week ahead.
See what needs attention, what is coming up, what is waiting, and what is complete. Quiet weeks stay quiet, and saved-on-device work is clearly labeled until received.
Read the details →03A change of plan that keeps your progress.
Offer approved home, site, or local-provider visit options. Participants can request an available alternative for the team to arrange.
Read the details →04Help requests with a visible next step.
Give routine requests an owner, acknowledgment, status, and outcome. Participants can follow progress and reopen a request when they still need help.
Read the details →Choose the right activities
DEVELOPMENT PREVIEW
Follow a request through
DEVELOPMENT PREVIEW
Built to be examined
Trust lives in the details.
The people running research should be able to understand the tools they use. The people taking part deserve the same clarity.
Access with boundaries.
Coordinator views use de-identified, study-scoped participant identifiers. Direct participant identity stays behind a separate data boundary.
A record of the decisions.
Protocol versions, review history, queries, and audit exports help a team follow how its study developed. Qualification remains specific to the intended use.
Evidence in perspective.
Read the published work behind decentralized approaches. Findings from other studies are context, not measured TrialPilot outcomes.