MediDate – Mock study App

MediDate

Mock Study App

MediDate was built as a mock research study iPhone app for the Medidata Symposium – October 2016 held at Phoenix, Arizona. The study, that was run by Medidata mHealth, aimed to identify trends in reaction time, motor skills and hand dexterity across the study population that consisted of Symposium attendees who volunteered to participate.

The App

BTC participated in the recently concluded Medidata Symposium in Phoenix, Arizona and had built a Medidata AppConnect-enabled mobile app called ‘MediDate‘ for use by symposium attendees. The app was a demonstration of the capabilities of Apple’s ResearchKit framework, Medidata’s AppConnect platform and showcased the potential of using mobile applications for research studies. Medidate was aimed at identifying trends in reaction time, motor skills, and hand dexterity of participants, across demographics, and as they vary with different times of the day and the associated level of activity.

Hey There
 

What we had to accomplish

The study needed to have the following:

  • A participant onboarding process of study information, eligibility clearance and informed consent with e-signature
  • A set of surveys that leveraged the provisions of the Apple ResearchKit framework
  • An active task to measure hand dexterity that leveraged the 9-hole-peg test available with ResearchKit
  • A highly customized active task to measure reflexes and motor skills that involved a finger tapping test in response to visual stimulus of varying paces.
  • Intelligent timezone-based scheduling and reminder mechanism for the timing of surveys and active tasks.
  • Transmission of study participant response data for storage in the secure Medidata Patient Cloud
  • In-app reminders
  • A Resources section
  • A user profile section

Technology

  • Apple’s iOS and ResearchKit
  • Medidata’s Patient Cloud
  • Medidata’s AppConnect SDK

Key Takeaways

  • The app was engaging and typical of real-world use cases in study administration via mobile apps
  • Users found it easy to navigate through and explore the various surveys and tasks
  • The app helped provide participants with the experience of a patient using their mobile device and its inbuilt sensors as a mHealth device.
  • It demonstrated the potential opportunities for incorporating the data provided by the device into a study, and simulating the results that would be available to study sponsors.
  • It also helped showcase the abilities of Apple’s ResearchKit framework and Medidata’s AppConnect platform using which this app was developed.
 
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