Join us for a free Databricks Community-sponsored BrickTalk! This time we are coming at you with a super cool industry use case in which AI-powered Databricks agents transform fragmented clinical trial data into real-time intelligence that accelerates site selection, optimizes patient recruitment, and proactively manages trial risk.

DETAILS

Date: Thursday March 19th
Time: 8:00 AM PT
Location: Virtual (link shared prior to event)

Despite modern data infrastructure, most clinical operations teams still rely on disconnected manual processes to make site selection, patient recruitment, and risk monitoring decisions. The result: trial timelines that slip by weeks, patient cohorts built from stale data, safety signals that go undetected until they become audit findings, and CRAs spending more time on data reconciliation than on sites that need them.

In this session, we’ll walk through a live Databricks-native Clinical Operations Intelligence Hub — a suite of AI-powered agents that transforms fragmented CTMS, EDC, IRT, and real-world evidence data into actionable, governed decision support across the full trial lifecycle.

We’ll cover Agentic Applications that drive critical outcomes — including reducing feasibility cycle times from weeks to hours, eliminating manual patient cohort builds, shifting risk monitoring from reactive to proactive, and replacing filtered dashboards with conversational intelligence that answer cross-domain questions in real time:

• Site Feasibility & Selection Agent — Scores candidate sites across historical performance, competitive pressure, patient density, and regulatory risk to produce a PM-ready shortlist in hours, not weeks.

• Patient Cohort & Recruitment Agent — Builds protocol-aligned cohorts from EHR and real-world data at Lakehouse scale, surfacing recruitment white space where patient density is high and trial competition is low.

• Risk-Based Monitoring & Compliance Agent — Continuously monitors active trials for enrollment anomalies, data lags, and protocol deviations, flagging compounding site risk before it reaches an inspection report.

• Conversational Study Intelligence — Ask natural language questions across cross-domain trial data: “Which sites are falling behind enrollment, and is it correlated with Protocol Amendment 2?”

All agents run natively on Databricks, ensuring sensitive clinical data never leaves a governed, GXP Ready/HIPAA-compliant environment, with end-to-end Unity Catalog lineage for every AI-driven decision.