Regulated healthcare environments face constant pressure to keep patient access, registration, documentation, verification, reminders, and exception handling moving without adding administrative burden to frontline teams.
In this session, we’ll explore how AI agents can support the “work behind the work” by automating high-volume, time-sensitive processes before inefficiencies impact staff, patient experience, or revenue. We’ll open with insights from Druid AI’s AI Adoption in Healthcare Benchmark Report, a production-data-based market analysis that highlights the top healthcare AI use cases and the adoption patterns emerging across real deployments. We'll then hear from Advanced Dermatology and Cosmetic Surgery (ADCS), exploring how its patient-facing AI agent supports appointment management and clinic information requests across multiple locations — helping reduce call center burden while keeping human escalation available when needed.
Learning points:
- Spot where revenue leakage begins across patient access, verification, appointment management, and follow-up.
- Understand key healthcare AI adoption patterns from real deployment data.
- See how ADCS uses AI agents to support patients across locations.
- Learn how AI agents reduce call center pressure while preserving human escalation.
- Explore practical ways to improve responsiveness and operational resilience.
We’ll close with Joe Nieto from Element Blue, who will share how Druid AI agents integrate with existing healthcare systems - including legacy platforms, EHRs, and workflows — without a full rip-and-replace approach.
Presenters:
.jpeg?width=120&height=120&name=IMG_1955%20(1).jpeg)
