Pilot and Feasibility Studies with Smart Omix
Run faster pilot and feasibility studies at scale
Join the research teams building faster, richer pilot and feasibility studies with Smart Omix.
What are pilot and feasibility studies?
While there are some differences of opinion, feasibility studies establish whether or not something can be done, whether it should be proceeded with, and if so, how. Pilot studies ask similar questions for specific aspects of a study design, such as conducting a future study or part of a study, but on a smaller scale.
Why should researchers run pilot and feasibility studies more frequently?
Conduct pilot and feasibility studies with Smart Omix
Use our self-service or concierge study building platform to rapidly prototype a smartphone pilot study for free
Incorporate ePROs like surveys, photo, video or audio
Layer in PGHD, like vital signs or sleep, to get a better picture of your participant’s lived experience. Run a BYOD clinical trial, or distribute special wearables for your study.
Download your study data at any time using the platform to measure your study performance
Give your research the best chance for successful outcomes with repeated, affordable pilot and feasibility studies
Pilot and Feasibility Studies in a Digital World
In an increasingly digital world, pilot and feasiblity studies have never been more important to R&D and product development.
smart omix frontier
Driving diversity and inclusion in clinical research
Despite comprising 40% of the U.S. population today, racial and ethnic minority groups are highly under-represented in clinical trials.
Pilot and Feasibility Studies in action
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.
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.
Start designing your study for free.
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