Luma Health Expands AI Agents to Close Care Gaps, Reschedule Missed Appointments

  • Luma Health's Summer 2026 release introduces AI agents to proactively rebook missed appointments and close care gaps via voice or SMS.
  • Health systems using Luma's new workflows have seen 28% of care gaps scheduled and 300% more missed visits rescheduled.
  • Luma's Model Context Protocol (MCP) server enables integration with other AI tools like Claude, Microsoft Copilot, and ChatGPT.
  • Luma customers have saved over 130,000 hours in 2026 using Navigator, the company's AI agent for inbound and outbound conversations.

Luma Health's expansion of AI-powered patient outreach addresses a critical pain point in healthcare: the manual effort required to reschedule missed appointments and close care gaps. As health systems face increasing pressure to improve efficiency and patient outcomes, AI automation is becoming a strategic imperative. Luma's ability to integrate with other AI tools via its Model Context Protocol server positions it as a key player in the end-to-end AI automation of healthcare operations.

Adoption Pace
How quickly health systems will integrate Luma's AI agents into their existing workflows and tech stacks.
Outcome Scaling
Whether the reported improvements in appointment rescheduling and care gap closure can be sustained at scale.
Competitive Response
How competitors in the healthcare AI space will react to Luma's expanded capabilities.