Offerings

Get started - companion, turnkey and registry studies available now!

Sponsors of existing clinical trials simply need to give their participants the option of signing up for the DHP and we do the rest!

Sponsors only pay for the data that they receive. Verisense Health is monitoring compliance throughout the study and will quality check the data before transferring to the sponsor.

Simply invite your participants and we will do the rest:

If Companion Studies are not a perfect fit for your project, sponsors can still leverage our technology platform, infrastructure, and our partner’s 400,000 person health panel to meet their specific needs.

Please contact us to discuss.

Recruitment

  • Companion Study - Sponsor invites their own participants to join the DHP

  • Turnkey Study - The DHP recruits participants according to sponsor specifications

  • In either case, the protocol can be adjusted to meet sponsor requirements

Verisense Health leverages the Digital Health Panel (DHP) platform to manage all aspects of the study

Process

  • The DHP is run as a separate, IRB-approved study

  • DHP does all the work, leveraging its existing infrastructure and processes

  • Sponsors receive data throughout the trial

Output

  • Wearable worn for at least one week per month

  • Raw 3-axis accelerometer data at a minimum of 25 Hz

  • Standard GGIR Activity and Sleep metrics

  • Results of monthly SF12 and condition monitoring questionnaire (based on ICD-10)

  • Tokens to access RWD for participants, if desired

Companion/Turnkey Study Flow

Benefits

  • Raw data that is essential for developing new digital biomarkers

  • Digital Health Panel is the least expensive data collection approach

  • Verisense Health will manage the entire data collection process

  • The sponsor only pays for the data they get

  • The Digital Biobank is a credible independent shepherd of ground-truth data

Standard GGIR Metrics

Verisense Activity and Sleep Metrics are based on GGIR. GGIR is Public domain R package to process multi-day raw accelerometer data. Dr. Vincent van Hees is the main developer.

A List of 300+ peer-reviewed publications using GGIR can be found here. Other metrics (e.g., step count) are available

GGIR Provides:

  • Time spent in idle, light, moderate, or vigorous activity

  • Sleep metrics: Total time in bed and sleep efficiency

  • Non-wear detection: total time device was not worn

Key Additional Features:

  • Calibrates automatically

  • Detects non-wear

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