Luma

Luma

paid

Luma automates and unifies patient journeys for enterprise health systems, hospitals, and specialty practices with healthcare-native AI and deep EHR integrations.

About

Luma is a comprehensive Operational AI platform built exclusively for healthcare organizations. It helps enterprise health systems, regional hospitals, and specialty practices automate the entire patient journey—from the moment a referral or order arrives to post-visit follow-up and payment collection. At its core is Spark, a healthcare-native AI engine trained on real clinical workflows and more than a decade of EHR integration expertise. Luma's platform spans four key operational areas: Access (new patient acquisition, referral management, order orchestration, and fax transformation), Engagement (omnichannel messaging, conversational AI, two-way AI translation, and outbound outreach), Intake (responsive digital forms, clinic flow management, and walk-in wait times), and Payments (eligibility verification, prior auth, co-pay collection, and past balance outreach). The platform offers no-code AI workflow creation, allowing healthcare staff to build custom automations without engineering support. Bidirectional integrations with major EHRs—including Epic, MEDITECH, Oracle Health, Athenahealth, eClinicalWorks, and NextGen—ensure seamless data flow. Luma is trusted by 1,000+ healthcare organizations across the US, Canada, and the UK, delivering measurable results such as a 61-day average reduction in time to care, 2–3 hours of daily manual call savings, and a 47% average revenue increase.

Key Features

  • Spark AI Core: Healthcare-native AI engine trained on real clinical workflows, coordinating multiple AI capabilities across products, agents, and automations.
  • No-Code AI Workflow Builder: Enables healthcare staff to create custom AI-driven workflows without engineering support, reducing operational overhead.
  • Bidirectional EHR Integrations: Seamless, bidirectional integration with all major EHRs including Epic, MEDITECH, Oracle Health, Athenahealth, and eClinicalWorks.
  • Conversational AI & Omnichannel Messaging: Outbound and inbound AI conversations, two-way SMS, AI-powered web chat, and real-time two-way translation for patients and staff.
  • Agentic Payments & Eligibility: Automates eligibility verification, prior authorization, co-pay collection, and past-balance outreach to accelerate revenue cycles.

Use Cases

  • Automating referral-to-scheduling workflows so patients are booked faster without manual staff intervention.
  • Reducing no-shows by sending AI-driven reminders and offering real-time waitlist slots via conversational SMS.
  • Digitizing patient intake with responsive forms, pre-visit checklists, and in-clinic self-service check-in.
  • Accelerating revenue cycle operations through automated eligibility verification, prior auth, and co-pay collection.
  • Closing care gaps by transforming inbound faxed results into actionable outreach and follow-up appointments.

Pros

  • Proven ROI at Scale: Delivers measurable outcomes including 61-day reductions in time to care, 2–3 hours of daily staff time saved, and 47% average revenue increases.
  • Deep EHR Ecosystem: Supports bidirectional integration with all major EHR platforms, minimizing manual data entry and ensuring data accuracy.
  • End-to-End Patient Journey Coverage: Covers every stage from referral and scheduling through intake, engagement, and payments in a single unified platform.
  • No-Code Customization: Clinical and operational staff can build and adjust AI workflows without needing engineering resources.

Cons

  • Enterprise-Focused Pricing: Luma is built for large health systems and specialty groups, making it potentially cost-prohibitive for small independent practices.
  • Healthcare-Only Use Case: Designed exclusively for healthcare organizations, limiting applicability to other industries or general-purpose workflow automation.
  • Demo-Gated Access: There is no self-serve trial; prospective customers must request a demo, which may slow evaluation for smaller teams.

Frequently Asked Questions

What is Luma's Spark AI core?

Spark is Luma's healthcare-native AI engine, built on over a decade of patient engagement data and deep EHR integration expertise. It coordinates multiple AI capabilities across the platform's agents, products, and workflows.

Which EHR systems does Luma integrate with?

Luma offers bidirectional integration with all major EHRs including Epic, MEDITECH, Oracle Health, NextGen, Nextech, eClinicalWorks, Athenahealth, and Greenway.

Does Luma require coding to set up workflows?

No. Luma includes a no-code AI workflow builder that allows clinical and operations staff to create and customize automated patient journeys without engineering involvement.

What types of healthcare organizations use Luma?

Luma serves enterprise health systems, regional and rural care facilities, specialty groups, and primary care practices. It is trusted by 1,000+ healthcare organizations across the US, Canada, and the UK.

How does Luma handle patient communication?

Luma uses omnichannel messaging (SMS, web chat, voice), outbound conversational AI, two-way AI translation, and patient-initiated conversations to keep patients engaged and informed throughout their care journey.

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