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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.

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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?

Validate methods, interventions and approaches early in asset development

Gain deeper, more granular insights into patient behavior

Save costs by performing multiple pilot studies across therapeutic areas at scale

 

 

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Reach more patients using decentralized clinical research methods

Leverage real-world data to gain deeper, more granular insights into patient behavior

De-risk your drug development cycle with faster, more focused pilot and feasibility smartphone studies


 

 
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Conduct pilot and feasibility studies with Smart Omix

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Use our self-service or concierge study building platform to rapidly prototype a smartphone pilot study for free

 
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Incorporate ePROs like surveys, photo, video or audio

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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.

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Download your study data at any time using the platform to measure your study performance

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Give your research the best chance for successful outcomes with repeated, affordable pilot and feasibility studies

Pilot and Feasibility Studies 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

 

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See how you can improve your pilot and feasibility studies with our next-gen data modules.

Start designing your study for free.

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