HumanFirst Institute

Research

Our team prioritizes open-access publications and has been featured in top peer-reviewed journals

Peer-Reviewed Manuscripts

Does clinical research account for diversity in deploying digital health technologies?

An Aligned Framework of Actively-collected and Passively-monitored Clinical Outcome Assessments (COAs) for Measure Selection

Developing and adopting safe and effective digital biomarkers to improve patient outcomes

Modernizing and designing evaluation frameworks for connected sensor technologies in medicine

Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)

Connected Medical Technology and Cybersecurity Informed Consent: A New Paradigm

Wearable Devices in Clinical Trials: Hype and Hypothesis

Digital biomarkers in health technology startups

Building resilient medical technology supply chains with a software bill of materials

Digital Medicine: A Primer on Measurement

A cybersecurity primer for translational research

An Evaluation of Biometric Monitoring Technologies for Vital Signs in the Era of Covid‐19

BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework

Decentralized Trials in the Age of Real‐World Evidence and Inclusivity in Clinical Investigations

Is health-care data the new blood?

A systematic review of feasibility studies promoting the use of mobile technologies in clinical research

Quantifying the use of connected digital products in clinical research

EVIDENCE Publication Checklist for Studies Evaluating Connected Sensor Technologies: Explanation and Elaboration

The Case for a Hippocratic Oath for Connected Medical Devices: Viewpoint

Digital Measures That Matter to Patients: A Framework to Guide the Selection and Development of Digital Measures of Health

Envisioning a Transformed Clinical Trials Enterprise for 2030: Proceedings from a Workshop

Digital Health—The Need to Assess Benefits, Risks, and Value

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices

Research

Peer-Reviewed Manuscripts

Measure What Matters