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HumanFirst
Accelerating research with the selection of digital health technologies
Following the acquisition of HumanFirst, ICON's ability to support sponsors in accelerating and improving digital health technology (DHT) selection to optimise protocol design is further enhanced.
- De-risk trial deployment with validated, scientifically-backed tools and assessments to capture robust data
- Optimise protocol strategies throughout the trial lifecycle, increasing likelihood of regulatory approval
- Develop patient-centred clinical strategies, reducing participation burden and measuring what matters to patients
The HumanFirst Atlas platform provides the most comprehensive library of evidence on validated digital health technologies and digital biomarkers:
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18,000+
digital measures and biomarkers -
3,600+
digital health technologies -
1,800+
clinical trials
Each measure is associated with robust evidence from 15,000+ peer reviewed publications, research papers and conference abstracts, delivering comprehensive intelligence.
This solution, in addition to ICON’s primary sponsorship of Mapi Research Trust (MRT), the industry's largest (6K+ COAs) and most trusted source of information on patient reported outcomes and other COAs globally, provides customers with:
- The most comprehensive source of information on DHTs and COAs for accelerated, accurate, evidence-backed decision making on protocol design to reduce patient burden and enhance data quality
- End-to-end patient centred clinical strategies and deployment to increase the likelihood of regulatory approval
- Efficient decision-making to de-risk assessment and endpoint selection
The HumanFirst Atlas platform delivers solutions to identify fit-for-purpose digital measures from the most comprehensive library of sensor-based digital biomarkers and digital health technologies.
Find out more
Contact us for more information on how to include digital health technologies in your next clinical trial.
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mHealth & Wearables insights
Our mHealth & Wearables insights will help you to understand and successfully address the complexities of implementation of wearable devices in trial design, execution and reporting.
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