Oatmeal Health

Oatmeal Health is an AI-powered lung cancer screening and care-navigation platform for FQHCs, hospitals, and imaging centers with nodule risk scoring.

Santé

Visiter le Site Web

Overview

Oatmeal Health is an AI-powered cancer screening and care-navigation platform focused on lung cancer. The site describes a full-funnel workflow that identifies people who may be eligible for screening, reaches them by phone or text, helps coordinate low-dose CT screening, and provides AI-based nodule risk scoring for clinicians.

The product is aimed at organizations trying to close screening gaps in underserved communities, including FQHCs, health systems, hospitals, imaging centers, nonprofits, government agencies, and life sciences teams. The site also positions LungAI as a radiology tool that works inside the existing viewer, so clinicians do not need a new workstation or separate login.

Core capabilities

AI patient identification

The platform mines EHR data to identify patients who appear eligible for lung cancer screening, including smoking histories that may be buried in clinical notes rather than structured fields.

Patient outreach and navigation

AI-powered voice calling, SMS, voicemail, and nurse navigator outreach are used to educate patients, confirm eligibility, and move them toward shared decision-making visits.

Screening coordination

Oatmeal Health helps schedule SDM visits and low-dose CT scans through its partner imaging network so patients can complete screening and follow-up steps.

Radiology risk scoring

LungAI assigns each nodule a 0–100 malignancy risk score inside the radiologist's existing viewer, with results described as available in under 3 minutes.

Program tracking and reporting

The partnership pages describe dashboards for screening outcomes, gaps identified, outreach sent, and revenue captured, along with quality and HEDIS reporting for health systems and FQHCs.

Flexible partnership models

Partnership structures are tailored for platform access, network access, or research and life sciences use cases, with setup that includes discovery, feasibility, and agreement steps.

Practical use cases

Community health center screening programs
An FQHC can use the platform to find patients who are due for lung cancer screening, contact them automatically, and track outreach and quality metrics in one place.
Hospital and health system lung programs
Hospitals and health systems can use the product to capture downstream referrals from lung screening while keeping follow-up and risk scoring aligned with in-system care pathways.
Radiology workflow support
Imaging centers can use LungAI to score nodules inside the viewer they already use, helping radiologists triage cases without adding a new workstation or login.
Population screening partnerships
Nonprofits, government agencies, and public health programs can use the network and reporting model to expand screening access across community partners and monitor outcomes.
Research and life sciences programs
Pharma, biotech, and diagnostics teams can use the partnership network for trial enrollment, real-world evidence work, and diagnostic validation in underserved communities.

Pros and Cons

Pros

Covers both screening outreach and radiology risk scoring in one workflow.
Uses EHR data to surface potentially eligible patients without relying only on structured fields.
Fits into the radiologist's existing viewer, which reduces workflow disruption.
Supports multiple organizational models, including health systems, FQHCs, imaging networks, and research partners.
Provides dashboards and reporting oriented toward screening progress, quality metrics, and outreach activity.

Cons

Pricing is not published on the available site pages, and the `/pricing` URL returns a 404.
LungAI is described as pending FDA 510(k) clearance, so the site is not presenting it as FDA-cleared yet.
The strongest evidence on the site is a mix of product pages and retrospective study language; prospective clinical performance is not established in the provided sources.

FAQ

Who is Oatmeal Health for?

Oatmeal Health is positioned for organizations that need to identify eligible patients, contact them, and move them into lung cancer screening and follow-up care. The source highlights FQHCs, hospitals, health systems, imaging centers, nonprofits, government agencies, pharma, and biotech partners.

What does the workflow look like?

The platform combines AI-based patient identification from EHR data, outreach by voice/text/voicemail, scheduling support for shared decision-making visits and scans, and LungAI scoring for nodules inside a radiologist's existing viewer.

How is the imaging workflow handled?

The source says LungAI runs inside the radiologist's existing viewer with no new workstation or login. It produces a malignancy risk score for nodules and reports results in under 3 minutes.

Does Oatmeal Health publish pricing?

The pricing page is not available and the site does not publish pricing on the pages provided. Partnership pages say engagements start with discovery, feasibility and scoping, agreement and setup, then go live.

What should buyers know about product status and evidence?

The site states LungAI is a medical device pending FDA 510(k) clearance and that clinical performance data reflects retrospective studies on held-out datasets. The company notes results may differ in prospective clinical use.

Quick Facts

Category: AI-powered cancer screening and navigation
Primary focus: Lung cancer screening and diagnosis support
Primary users: FQHCs, health systems, hospitals, imaging centers, and life sciences partners
Product status: LungAI is pending FDA 510(k) clearance
Workflow: Identify, reach, screen, analyze, and act
Domain: oatmealhealth.com