Decentralized Trials That Scale Globally Without Compliance Risks - with Emma Vitalini of Amgen

The AI in Business Podcast

Decentralized Trials That Scale Globally Without Compliance Risks - with Emma Vitalini of Amgen

The AI in Business PodcastApr 7, 2026

Why It Matters

Accelerating enrollment and diversifying trial populations shortens time‑to‑market for life‑saving therapies and ensures treatments reflect real‑world patients. By leveraging AI and compliant decentralized platforms, sponsors can reduce costly delays, maintain regulatory trust, and empower patients worldwide, making the future of clinical research more efficient and inclusive.

Key Takeaways

  • AI extracts unstructured genomic data, accelerating patient identification.
  • Decentralized platforms enable e-consent, improving global compliance.
  • Wearables and IoT provide real‑time outcomes, reducing screen failures.
  • Flexible vendor‑build strategies balance risk, bias monitoring, and scalability.

Pulse Analysis

Clinical trial enrollment remains a bottleneck, with up to 80 % of studies missing recruitment targets. Emma Vitalini explains how AI can sift through unstructured electronic health records and genomic reports, turning raw data into actionable patient cohorts in minutes rather than weeks. The falling cost of sequencing and proteomics allows sponsors to match molecular mechanisms to individual patients, boosting diversity by reaching underserved populations. By automating the screening process, AI shortens the time from identification to enrollment, helping companies bring therapies to market faster while preserving scientific rigor.

Decentralized trial platforms translate those AI insights into compliant, patient‑centric workflows. Modular e‑consent tools let participants read, ask questions, and sign digitally, while AI‑driven chat assistants clarify jargon in real time. Wearables such as Apple Watch or FDA‑cleared biosensors continuously capture vitals, sleep patterns, and even voice cues, feeding objective outcomes back to the study without site visits. Because data residency rules differ across GDPR‑covered Europe, the United States, and emerging markets, plug‑and‑play APIs enable sponsors to query patient attributes without moving raw datasets, preserving privacy and reducing cross‑border transfer costs.

Adopting AI‑powered decentralization also demands new leadership mindsets. Executives must prioritize patient empowerment, ensuring transparent consent and 24/7 digital support while keeping a human‑in‑the‑loop for safety escalations. When choosing technology, sponsors weigh vendor solutions against in‑house builds, evaluating proof‑of‑concept results, bias monitoring, and model agnosticism. A hybrid approach—leveraging proven platforms for scalability while retaining core algorithms internally—offers the best balance of speed, regulatory trust, and control over hallucinations. As the ecosystem matures, these strategies promise faster, more inclusive trials that deliver therapies to global populations with reduced compliance risk.

Episode Description

Today's guest is Emma Vitalini, Head of Global Digital Health Technology Innovation at Amgen. Amgen is a global biotechnology company focused on discovering, developing, and delivering medicines for serious illnesses. Emma joins Emerj Editorial Director Matthew DeMello to examine how data and AI are reshaping patient recruitment, decentralized clinical trials, and compliance workflows in highly regulated healthcare environments.

Emma also discusses practical ways AI can surface unstructured genomic and clinical data to improve patient identification, how API-based access supports hypothesis testing without large-scale data movement, and how modular consent and explainable AI frameworks help sponsors scale trial operations while maintaining regulatory trust and patient transparency.

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Show Notes

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