Patient-generated health data for evidence-based oversight of AI-enabled medical devices
Gaps in real-world monitoring limit the ability to assess how AI-enabled medical devices perform once deployed in care settings. Device behavior can change over time, vary across populations, and introduce risks that are not fully captured through premarket evaluation alone, creating uncertainty about real-world safety, effectiveness, and equity, and posing challenges for effective post-market oversight.
To address this gap, DiMe is conducting a policy-focused analysis examining how patient-generated health data (PGHD), alongside other forms of real-world data and evidence (RWD/E), can strengthen oversight of AI-enabled medical devices after deployment. This work centers patient experience and outcomes while helping regulatory decision-makers move from reactive oversight to earlier, evidence-informed intervention.
Through this effort, DiMe is working with Arnold Ventures to enable more transparent, accountable, and patient-centered oversight that amplifies patient voice and supports FDA and congressional efforts to ensure AI-enabled medical devices remain safe, effective, and equitable in real-world use.
This work is focuses on:
Analyzing current oversight gaps by identifying where existing regulatory approaches fall short in monitoring the real-world performance and safety of AI-enabled medical devices as they evolve over time and are used across diverse populations.
Clarify the role of PGHD by examining how patient-generated health data capture patient experience and outcomes outside traditional clinical encounters alongside other real-world evidence to improve visibility into device performance, risk, and impact in post-market settings.
Develop actionable policy recommendations by translating findings into targeted education and policy-relevant recommendations that support FDA and congressional oversight of AI-enabled medical devices and address post-market evidence gaps.
The outputs from this effort will contribute to:
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Stronger patient-centered oversight: Greater incorporation of patient experience and outcomes into postmarket monitoring, helping ensure AI-enabled medical devices continue to serve patients safely and equitably over time.
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Improved postmarket surveillance: Earlier identification of safety issues, performance drift, and unintended impacts through more effective use of real-world and patient-generated data.
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More consistent oversight decision-making: Clearer, evidence-based inputs to inform FDA and congressional oversight of AI-enabled medical devices across the product lifecycle.
Our funder
We are grateful to Arnold Ventures for their generous support in making this possible.
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Public workshop insights
In June 2024, DiMe and FDA conducted a two-day public workshop to explore the implementation of PGHD during medical device development and clinical studies. Insights from the workshop are being incorporated into the research and resource development for Vision 2030.
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11:15am
Receiving a Cancer Treatment, Decoding My Own Data, & Advancing Clinical Research: My Dual Life – as a Patient & Clinical Scientist
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11:30am
Vision 2030: Advancing Clinical Research with Patient-Generated Health Data
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12:00pm
From Traditional to Digital: A Full Spectrum of PGHD Driving Clinical Trial Advancements
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1:00pm
Measuring Health: One that actually matters to (real) patients
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2:00pm
Turning Up the Volume of Health Monitors: New Modalities of Measuring Health
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11:15am
Bring the Megaphone, Give it to the Patients First
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11:30am
A View from the Washington: Building the Clinical Trials Infrastructure in the US for Healthier Future
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12:00pm
What’s your Type? Digital Health Technologies has Got Diabetes Covered
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1:00pm
From Rarity to Clarity: PGHD’s Role in Rare Diseases
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2:00pm
Paving the Way to Vision 2030: How to Make the Future of Clinical Research a Reality Today using PGHD
2024 public workshop speakers
Female Speakers
Patients/Patient Advocates
Government Leaders
Tracy Gray
FDA
Tracy Gray
FDA

