Lucem Health vs Oatmeal Health (2026)

AI Health Index verifiedSeptember 22, 2026
Verdict

Both run early detection as a program rather than as an algorithm, which is the right instinct, and they scope it differently. Lucem covers several conditions under one operating model, from lung and colorectal cancer through liver disease and arrhythmias, founded with Mayo Clinic. Oatmeal does lung cancer screening in federally qualified health centers, which is the hardest and most underserved version of that job: the eligible population is large, capacity is thin and the failure is almost never identification but navigation and follow through. For a safety net organization, Oatmeal is built for the setting rather than adapted to it. Both should be asked to report screening and follow through by race and insurance status, because a program that lifts the average while widening the gap has not helped the people it was sold to reach.

The case for Lucem Health
  • Early detection runs as a program across several conditions rather than one, so a health system builds the outreach and confirmatory workflow once and reuses it.
  • The Mayo Clinic founding relationship is a real institutional grounding rather than an advisory listing.
  • For an organization wanting detection across a portfolio, a program operator is a different and more complete purchase than an algorithm.
The case for Oatmeal Health
  • It targets lung cancer screening specifically in federally qualified health centers, which is where screening uptake is lowest and the eligible population is largest relative to capacity.
  • Screening programs in that setting fail on navigation and follow through rather than on identification, and the product is built around that reality.
  • Focusing on one cancer in one setting makes the economics legible in a way a multi condition program is not.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Lucem Health and Oatmeal Health are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded

At a Glance

Plain facts

Fact Lucem Health Oatmeal Health
Primary category Clinical Decision Support Value Based Care Intelligence
Founded Not recorded 2022
Headquarters Davidson, North Carolina, United States San Jose, California, United States
Website lucemhealth.com oatmealhealth.com
Attribute Matrix

Side by Side

Select any grade to read the note behind it.

Axis
L
Lucem Health
O
Oatmeal Health
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

Each vendor in one paragraph

Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.

Lucem Health

Lucem Health, co-founded with Mayo Clinic and based in Davidson, North Carolina under founding chief executive Sean Cassidy, sells Reveal early disease detection programs to health systems for arrhythmias, colorectal cancer, liver disease, lung cancer and type 1 diabetes, and sells patient identification to life sciences companies.

Source: AI Health Index, September 2026

Oatmeal Health

Oatmeal Health, founded in May 2022 by Jonathan Govette and based in San Jose, runs lung cancer screening programs for federally qualified health centers and the imaging centers and hospitals that scan their patients, serving Medicaid and Medicare populations that screening has historically reached least. LungIQ reads FQHC record exports, using a large language model and a classifier to recover smoking history and risk factors from clinical notes, and produces a ranked worklist of patients likely to meet the USPSTF screening criteria.

Source: AI Health Index, September 2026

FAQ

Questions buyers ask

How are Lucem Health and Oatmeal Health priced and sold?

For Lucem Health, the unit of charge (per program, per patient scored, per patient reached) is not stated, and neither is whether the model developer is paid separately. The last announced financing was a $7.7 million round led by Mayo Clinic, Granger Management and Mercy, and a program depends on two suppliers, the company and the model developer, so it can fail at either end.

With Oatmeal Health, the home, FQHC, imaging and business associate pages publish no price, unit of charge or contracting model for LungIQ or LungAI. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 22, 2026. No vendor pays for placement.

How do Lucem Health and Oatmeal Health handle patient data?

In Lucem Health's case, the Reveal page says programs run on record data a health system already holds without extensive data or systems integration; the privacy policy (last updated 17 April 2026) covers website visitors and the terms cover the website, and neither mentions patient records.

For Oatmeal Health, the published agreement requires minimum necessary use, return or destruction of protected health information at termination, and de identification only under the HIPAA criteria, after which the data falls outside the agreement. It also permits data aggregation across the company's other covered entity customers. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 22, 2026. No vendor pays for placement.

Which settings and specialties do Lucem Health and Oatmeal Health cover?

With Lucem Health, the corresponding limit is that depth in any one area belongs to whoever built that model. Setting is United States health systems, spanning ambulatory and primary care wherever the record reaches.

In Oatmeal Health's case, the narrowness is a reasonable strategy: lung cancer screening has among the lowest uptake of any recommended cancer screening, concentrated where this company sells. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 22, 2026. No vendor pays for placement.

How much do Lucem Health and Oatmeal Health leave to the clinician?

For Lucem Health, the design is deliberately additive to existing population health processes rather than replacing them, which the company states as a selling point.

With Oatmeal Health, the company once described a language model chatbot explaining screening results and next steps to patients in their own language; the current site does not mention it, and if it is still offered, it is generative output about cancer screening delivered to patients with lower average health literacy and no published review, guardrails or escalation rule. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 22, 2026. No vendor pays for placement.

Keep Comparing

Related comparisons

Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Decision Support page.

Disclosure

Lucem's models are developed by partner companies, so accuracy, drift and subgroup performance questions route to a third party the health system does not contract with, which is the concentration risk on that record. Neither publishes subgroup performance analysis. Oatmeal's published business associate agreement requires return or destruction of data at termination and permits aggregation across its customers; Lucem publishes no retention or secondary use position.

Lung cancer screening in particular carries a well documented equity gap in both eligibility criteria and uptake, so any program should be asked to report screening rates and follow through by race and insurance status rather than in aggregate, since an intervention that lifts the average while widening the gap is not a success.