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Launch your ResearchKit study app in weeks.

—the right way

We haven’t seen it all
but we’re getting close :)

ResearchKit is amazing, but it’s not easy to get it right. It also requires enhancements for compliant use in clinical studies. With many firsts in ResearchKit, we at THREAD have now developed an approach, techniques and processes that allow us to create even challenging app concepts not only quickly, but also correctly. We can now all benefit from that experience.

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ResearchKit — What’s the big deal? 

Just a Few Examples of Our Work


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Researchers at Johns Hopkins Medicine were interested in seeing what they could learn about epilepsy seizures using Apple ResearchKit™. Epileptic seizures happen randomly, so it’s inherently difficult to capture the changes that occur in the body during a seizure.

Johns Hopkins researchers worked with THREAD to develop the EpiWatch research app and first-ever Apple Watch app to utilize ResearchKit.


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MS Mosaic is designed to gather the fragmented MS experiences together and use advanced computing methods to create the most comprehensive picture of MS to date.

• Track Symptoms and Medications
• Track Possible Relapses
• Monitor Symptom Triggers
• Visualize Your MS Experience
• Get Educated
• Share with Your Care Provider


 

The PRIDE Study mobile app is the primary means of communication between researchers and study participants during the Community Listening phase. This phase allows the study population to participate in the formation of study goals by recommending research topics through a community discussion forum.

Another primary objective is to gather demographic data via a survey in the app itself. This demographic data is foundational because it will inform later study protocols including the dynamic information of cohorts for deeper health study.

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Want to discuss your study?

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Want to talk to us about your study?

...but what about Android?

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Yup, we convert our customer's studies to Android.

We agree that great research reduces bias wherever possible and any study populated entirely by iPhone users would be biased. We also believe that global studies are often conducted within populations that are predominantly Android users.