Bring Your Own Device (BYOD) Clinical Trials

Design your BYOD clinical trial for the connected, modern-day participant

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Join researchers optimizing clinical trial design with a BYOD study approach.

What is a BYOD clinical trial?

A bring-your-own-device or “BYOD” clinical trial invites research participants to join a study with their own device, whether that is a smartphone or a wearable device that is generating data.

The rising importance of BYOD clinical trials for research

About one-in-five Americans use a smart watch or fitness tracker.

Researchers are missing the great opportunity to leverage enormous amounts of connected device data in health economic outcomes research and real-world data studies.

BYOD clinical trials can speed up enrollment and boost retention by leveraging devices the participant is already familiar with.

With a BYOD approach, researchers can design interventions and prospective studies that more closely mirror the participants everyday, lived experience of their condition.

Introducing

Seamlessly conduct BYOD clinical trials

Our privacy-first, one-click data connection allows participants to easily consent to sharing their device information.

Smart Omix is operating system agnostic. Whether a participant is wearing a Garmin, Fitbit, or Apple Watch, or using an iPhone or Android device - our platform collects structured, high density data across data sources.

Developing new digital measurements? Our interdisciplinary clinical AI and data science teams can offer detailed insights on device inclusion and exclusion to optimize for collect the right signals from diverse and specific populations.

We’ve designed our BYOD approach to be affordable, repeatable and scalable, across therapeutic areas.

BYOD clinical trial technology in action

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A decentralized, prospective observational study to collect RWD from patients with myasthenia gravis using smartphones

UCB and Sharecare report results from a 3-month prospective observational study in adults with myasthenia gravis (MG) using fully decentralized methods at MGFA 2022.

Download the poster.

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Predicting Environmental Allergies from Real-World Data

Using Smart Omix, a proprietary digital clinical research platform powering mobile research studies, the Sharecare team developed and trained a machine-learning algorithm to predict the emergence and severity of symptoms related to allergic rhinitis.

Read the paper

See how you can improve your BYOD clinical studies with our next-gen data modules.

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