Webinar Recap: Learnings From Deploying AI in Healthcare

Healthcare systems can use AI agents to reduce patient friction in tasks surrounding care, such as finding providers, scheduling appointments, answering routine questions, and maintaining continuity across phone and text channels, without increasing staffing. A discussion featuring ElevenLabs, Slalom, and Renown Health recommends beginning with a “hero journey” that is high-volume, measurable, and low-risk, with appointment scheduling presented as a practical example that can support intake, identity verification, insurance-related guidance, booking, and reminders. Successful production deployment depends less on rapid prototyping than on data integration, compliance, testing, standardized scheduling processes, physician support, and well-defined operational change management. AI agents should be governed like new staff members through procedures, knowledge resources, escalation training, adversarial testing, and ongoing evaluation, while HIPAA safeguards, vendor agreements, data controls, and deterministic retrieval of factual information help manage the limitations of probabilistic models. Organizations are advised to establish escalation thresholds in advance and measure adoption and outcomes through metrics such as appointments booked by channel, satisfaction scores, deflection rates, and stakeholder experience.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.