Practical guides on AI patient matching, FHIR integration, screen failure reduction, and clinical trial operations for mid-size CROs.
A practical look at how mid-size CROs are using AI-powered eligibility screening to cut enrollment timelines and reduce screen failure costs across Phase II-III trials.
A step-by-step technical overview of connecting FHIR R4 EHR APIs to clinical trial management systems, covering authentication patterns, data mapping, and common integration pitfalls.
Screen failure rates above 70% are common in Phase II-III oncology and rare disease trials. This playbook covers diagnostic steps, root cause analysis, and protocol-level interventions that actually move the number.
How to translate complex inclusion and exclusion criteria written in protocol language into FHIR-queryable logic using ICD-10 codes, LOINC lab values, RxNorm medication records, and temporal relationship rules.
A comparison of Epic MyChart Bedrock API and Cerner Millennium FHIR integration patterns for clinical trial workflows, with guidance on authentication, data access scopes, and coordinator handoff.
How transformer-based NLP models extract eligibility-relevant evidence from pathology reports, discharge summaries, and progress notes for oncology and rare disease trial screening.
A practical guide to integrating patient screening outputs into Medidata Rave, covering API configuration, subject status mapping, audit trail requirements, and coordinator workflow considerations.
A framework for managing protected health information in clinical trial screening, covering Business Associate Agreements, ephemeral processing, encryption standards, and audit log requirements for CRO compliance teams.