
Talking HealthTech 591 - Building Trust in Healthcare AI: Transforming Clinical Trials and Data
Mar 2, 2026
Amita Malik, Oracle Health life sciences lead with ~20 years in clinical trials and AI. Angela Ryan, clinician and health informatician driving trusted AI implementation. Julie Hoare, APAC digital health leader with deep EHR and lab experience. They discuss fragmented trial data, AI for automated patient-trial matching and data quality, unifying EHRs for research readiness, and building trust and governance for clinical AI.
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Clinical Trials Hampered By Fragmented Systems
- Clinical trials face multi-jurisdictional complexity that can delay translation of research into practice by years.
- Angela Ryan notes collaboration across patients, researchers, universities, companies and governments creates burdens that slow trials up to 17 years.
EHRs Can Be Turned Into Research Ready Assets
- Oracle's evolution from Cerner expands focus from EHRs to unlocking EHR data for research across finance, clinical care and life sciences.
- Julie Hoare highlights making organisations 'research ready' by leveraging existing clinical data in unified platforms.
Automate Trial Matching And Protocol Ingestion
- Use AI to automate patient–trial matching and ingest protocol documents to create trial artifacts like eCRFs and budgets.
- Amita Malik explains AI can mine EHRs, genomics and wearables to accelerate recruitment and improve data quality.
