Luma Health
Operational AI that removes bottlenecks and friction from the patient journey
By Luma Health · HQ San Mateo, US · 4.3/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Health systems and multi-specialty groups with heavy call-center volume and scheduling backlogs
- FQHCs and community health centers automating referral, fax and intake work without new hires
- Provider organizations on Epic, Oracle Health, athenahealth or MEDITECH that need EHR-integrated patient access
- Specialty and behavioral health practices cutting no-shows and filling last-minute cancellations
Ideal size: 100+ staff people · Multi-site provider org with an EHR and access team
Not for
- Non-healthcare businesses; the platform is purpose-built for provider workflows
- Single-provider practices without an EHR or IT resources to support integration
- Buyers who need published list pricing before a sales conversation
- Teams looking for a general-purpose CRM or marketing automation suite
Value metrics scorecard
Time-to-Value
3-6 weeks
~30 days to first production value
Total Cost of Ownership
On request
Custom, quote-based enterprise pricing; packaging and list prices are not published on the vendor site
Implementation Friction
4/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published
Add-on costs
- None
Company & support
Who is behind Luma Health, and how your team gets help once it is live.
Company
- Founded
- 2015 · 11 yrs in business
- Headquarters
- San Mateo, US
How you get support
We haven’t recorded support channels for Luma Health yet. Nothing here means unverified — not absent.
Market position
Where Luma Health sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Luma Health
- Suki
- Planet DDS
- NextGen Healthcare
- CareStack
- eClinicalWorks V12
Add or change companies
Up to 10 companies including Luma Health. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Luma Health ships in AI, and what it asks of your ecosystem.
AI features shipped
The vendor describes Spark, a healthcare-native AI core that coordinates multiple AI capabilities and agents across access, engagement, intake and payments. Named capabilities include conversational agents and virtual assistants, two-way AI translation, AI web chat and AI fax processing. No source names the underlying model providers, says whether customers can supply their own model key, or…
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Luma Health is an operational AI platform for healthcare provider organizations. It automates patient access, engagement, intake and payments: scheduling, referrals, AI fax processing, reminders, waitlists, conversational agents and eligibility checks. Reported outcomes include a 61-day average reduction in time to care, 2-3 staff hours saved daily and a 47% average revenue increase. The vendor says 750+ healthcare organizations use Luma, with deep EHR integrations including Epic, Oracle Health, athenahealth and MEDITECH. Pricing is not published.
Frequently asked questions
What does Luma Health actually automate?
Luma covers four operational areas: access (scheduling, referrals, order orchestration, fax, waitlists), engagement (omnichannel messaging, conversational agents, web chat, two-way translation), intake (digital forms, checklists, check-in) and payments (eligibility, prior authorization, co-pay and past-balance collection). The vendor reports results such as 95% of after-hours calls automated at UAMS and 250+ staff hours saved per month on fax processing at Northfield Hospital + Clinics.
How does Luma Health integrate with our EHR?
The vendor says Luma connects your EHR, RCM, payments, CRM, call center, telehealth and population health systems, and calls out deep EHR integration expertise. Case studies name Epic, Oracle Health, MEDITECH and athenahealth. Integration sits at the center of the product, so plan for a technical project involving your IT team rather than a self-serve signup.
How is Luma Health priced?
Luma does not publish list pricing, tiers or packaging on its public site; the path in is a demo request and a custom annual quote. Budget for an enterprise subscription plus implementation and EHR integration effort. Ask for a written scope covering per-provider or per-location pricing, message volumes, AI usage and any one-time implementation fees.
Is Luma Health HIPAA compliant or certified?
Luma markets 'industry-leading security', but its public pages do not list HIPAA, SOC 2, ISO 27001 or other certifications. Because the platform handles patient communications and payments, request the vendor's security documentation, a signed BAA, and confirmation of exactly which certifications cover the products you plan to deploy.
What evidence is there that Luma delivers results?
The case-study library lists dozens of named health systems and practices with quantified outcomes: 61 days average reduction in time to care, 47% average revenue increase, 40% fewer no-shows at TriState Health, $760K annual gain there, and 4.5 FTEs of call-center time recovered at Sun River Health. Treat vendor-reported figures as directional and ask for references in your specialty and EHR.
Does Luma train AI models on our patient data?
Luma's public pages do not state how customer or patient data is used for model training, retention or opt-out. Before signing, ask the vendor in writing whether patient data is used to train or improve models, and get the answer reflected in your contract and BAA.