Oatmeal Health - AI-powered lung cancer screening from identification to diagnosis

What Is Oatmeal Health

If you work at a community health center, you already know the numbers are sobering. Across the United States, federally qualified health centers (FQHCs) are screening for lung cancer at rates below 6%—far below the national average of 18%. The challenge isn't a lack of willingness; it's the overwhelming manual work required to identify eligible patients, coordinate screenings, and follow up on results.

Imagine your team spending hours each week pulling reports from the EHR, cleaning data, building patient lists, and then making outreach calls—only to discover that many patients don't meet the screening criteria. Meanwhile, quality incentives tied to care gap closure are at stake, and the cost of patient outreach keeps climbing. This is the reality for hundreds of community health centers serving populations at highest risk for lung cancer.

Now consider the radiologist's perspective. The current standard for lung cancer screening, LUNG-RADS v2022, has a documented 9% false negative rate—meaning roughly 1 in 11 cancers gets missed. At the same time, there's an 18%+ false positive rate, leading to unnecessary biopsies and patient anxiety. Manual LUNG-RADS scoring is slow, inconsistent, and adds to an already overwhelming workload.

Oatmeal Health was built to solve this entire journey. We are the first virtual cancer clinic designed specifically for community health centers and imaging centers, offering AI-powered, patient-centered cancer care from screening through diagnosis. Our platform combines four integrated capabilities: AI patient identification, AI care navigation, AI computer-aided diagnosis (CADx), and an EHR screening eligibility engine.

What sets us apart is our technology. Our AI models are trained on 80,000+ CT scans using Vision Transformer computer vision architecture, achieving an AUROC of 0.97—significantly outperforming traditional LUNG-RADS assessment. Perhaps most importantly, Oatmeal Health is the first AI diagnostic tool to receive a CPT reimbursement code (0721T), meaning imaging centers can bill $650 for each lung cancer screening scan analyzed by our AI.

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Core Capabilities

What can Oatmeal Health actually do for your organization? Let me walk you through each capability and how it translates to real-world impact.

AI Patient Identification

Your EHR contains thousands of patient records, but extracting actionable insights manually is time-prohibitive. Our AI Patient Identification system analyzes EHR data—including demographics, comorbidities, imaging history, billing codes, medications, genomics, and unstructured clinical notes—to automatically identify patients who meet USPSTF lung cancer screening criteria.

The system achieves an AUROC of 0.97, meaning it's highly accurate at predicting who qualifies for screening. More importantly, it saves your team hours of manual chart review and prevents wasted outreach to patients who don't yet meet screening eligibility requirements. Your staff can focus on high-value patient engagement instead of data cleaning.

AI Care Navigation

Identifying patients is only half the battle. Getting them to complete their screening is where most programs struggle. Our AI Care Navigation system provides personalized guidance to patients, helping them understand the importance of lung cancer screening, answering their questions, and guiding them through scheduling and completing their low-dose CT scan.

This is particularly valuable for FQHCs serving populations with significant barriers to care—transportation challenges, work schedules, health literacy concerns. The AI adapts its communication style to each patient's needs, improving completion rates without adding administrative burden to your team.

AI CADx (Computer-Aided Diagnosis)

When a patient completes their LDCT scan, our AI CADx system analyzes the images using Vision Transformer technology to detect lung nodules and accurately assess malignancy risk. Think of it as a second set of expert eyes—always consistent, never fatigued, working alongside your radiologists.

The performance data is compelling: our system can reduce false negatives by up to 50%, helping catch cancers earlier when treatment is most effective. It can also reduce false positives by up to 89%, sparing patients from unnecessary invasive procedures and the anxiety that comes with false alarms. And it does this without increasing the overall positive rate—meaning we're improving detection without creating more false leads.

For imaging centers, this capability directly translates to revenue. Our CPT code 0721T allows billing $650 per lung cancer screening scan analyzed by our AI—creating a new revenue stream while delivering higher-quality care.

EHR Screening Eligibility Engine

Beyond lung cancer, our EHR Screening Eligibility Engine transforms your electronic health records into a real-time screening registry. It supports multiple screening programs—lung, cervical, colorectal, breast cancer, and diabetes—identifying eligible patients across all these conditions without manual data processing.

The engine handles both structured and unstructured observational EHR data, meaning you don't need to clean or reformat your data before integration. This dramatically speeds up implementation and makes ongoing maintenance manageable.

Seamless Technical Integration

One of the biggest concerns when adopting new health technology is compatibility. We designed Oatmeal Health to integrate smoothly with your existing infrastructure. Our CADx system is agnostic—it works with any EHR or CADe software (Epic, Riverain, Coreline, QureAI, and others). It's also agnostic to imaging equipment, reading low-dose CT scans from all major vendors (GE, Philips, Siemens, Toshiba, and more). The platform is compatible with any PACS system.

This means you don't need to rip and replace your current systems. You can layer Oatmeal Health on top of what you already have, validate the value quickly, and expand from there.

Imaging Center Partnership Program

For imaging centers running below full CT scanner capacity, we offer a patient referral partnership. Oatmeal Health refers eligible patients to your center, filling idle appointment slots and generating incremental procedure revenue. Both initial scans and annual follow-up scans create revenue opportunities.

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Who Is Using Oatmeal Health

Let me break down how different organizations are using our platform, so you can see whether your use case fits.

FQHCs Managing Screening Gaps

If you manage a community health center, you're likely juggling multiple quality incentives and care gap closure requirements. Manual list building, running reports, and cleaning data consume precious staff hours—and the return on that investment is often disappointing.

Oatmeal Health's AI automatically generates a patient registry of those meeting screening criteria, prioritized by outreach value. This means your team spends less time on manual list construction and chart review, and more time actually connecting with patients who are most likely to benefit. The system creates repeatable playbooks you can apply across multiple screening programs, and our partner FQHCs have reported screening rate improvements of 15-25%.

Community Health Centers Launching Lung Cancer Screening

Many FQHCs want to offer lung cancer screening but lack the resources, staff, or clinical expertise to launch a program independently. We provide the AI technology, team support, and clinical oversight to launch high-value screening programs—completely risk-free. Oatmeal Health assumes the clinical burden, so your FQHC can focus on patient care without worrying about program management.

The financial model is attractive too: FQHCs generate non-grant revenue through筛查 programs, while patients get access to life-saving early detection they might otherwise miss. For centers serving rural or underserved populations, this can be transformational.

Radiologists Seeking Diagnostic Support

If you're a radiologist, you've likely felt the pressure of balancing speed with accuracy. LUNG-RADS scoring is manual, time-consuming, and subject to inconsistency between readers. A missed cancer is devastating; an unnecessary biopsy causes patient harm and wastes resources.

Oatmeal Health's AI provides nodule malignancy risk scores as a "second read"—a复查 (second opinion) that supplements your analysis without replacing your judgment. The system improves early detection without increasing false positives, reducing both missed diagnoses and unnecessary procedures. Our technology helps you work more efficiently and consistently, especially when reading high volumes of screening scans.

Imaging Centers Maximizing CT Capacity

If you operate an imaging center with CT scanner capacity sitting idle, you're leaving money on the table—and missing opportunities to serve patients who need screening. Oatmeal Health refers patients directly to your center, filling those gaps with no marketing cost to you. Each referral generates revenue through both initial scans and annual follow-ups.

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Technical Specifications

For technical decision-makers, here's a deeper dive into what powers the Oatmeal Health platform.

Vision Transformer Architecture

We built our AI models on Vision Transformer (ViT) computer vision technology—a frontier deep learning architecture that has surpassed traditional convolutional neural networks (CNNs) in image analysis tasks. While most medical AI still relies on CNNs, Vision Transformers excel at capturing global context and complex patterns in CT scan imagery, leading to more accurate nodule detection and risk assessment.

Training Data Scale

Our models are trained on over 80,000 CT scans from diverse patient populations. This large-scale training data ensures the AI performs well across different demographics, scanner types, and clinical contexts. The diversity of training data is critical for generalization—we want the model to work equally well for every patient population your center serves.

Performance Metrics

The AUROC of 0.97 represents industry-leading accuracy, significantly outperforming traditional LUNG-RADS assessment. The false negative reduction of up to 50% means you're catching more early-stage cancers—cancers that might otherwise be missed. The false positive reduction of up to 89% means fewer unnecessary biopsies, less patient anxiety, and more efficient use of healthcare resources.

Reimbursement Path

Oatmeal Health is the first AI diagnostic tool to receive a dedicated CPT code (0721T) for lung cancer screening analysis. This means imaging centers can directly bill for AI-assisted diagnosis at $650 per scan. This creates a clear ROI case for imaging centers: invest in the technology, and you'll generate revenue from every scan analyzed.

Compliance and Security

We take data security seriously. Oatmeal Health is fully HIPAA-compliant, with comprehensive privacy policies, terms of service, and data processing agreements in place. We implement standard healthcare data protection measures and work with each partner to ensure proper data handling protocols are followed.

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Getting Started

Ready to bring Oatmeal Health to your organization? Here's how the onboarding process works.

For FQHCs

1. Initial Contact: Reach out to our team at (669)-247-2898 or hello@oatmealhealth.com to discuss your patient population and screening goals.

2. Needs Assessment: We'll evaluate your patient population size, expected conversion rates, visit volumes, and incentive opportunities to design a tailored pricing方案.

3. Pricing Setup: We use a PMPM (Per Member Per Month) model that's predictable and easy to model into your budget. Pricing factors include patient population size, expected conversion rates, visit volumes, number of screening programs, refresh frequency, and workflow components.

4. Technical Integration: Our team handles EHR integration—we support Epic, Riverain, Coreline, QureAI, and other major EHR systems. You don't need to clean or reformat your data; we work with your existing structure.

5. Launch: Once integrated, we help you launch your screening program with our AI Patient Identification, Care Navigation, and EHR Eligibility Engine running. You can start with lung cancer screening and expand to other cancer types as you see results.

For Imaging Centers

1. Partner Registration: Sign up as an imaging center partner through our website at oatmealhealth.com/imaging-centers/.

2. Patient Referral: Oatmeal Health refers eligible patients directly to your center for low-dose CT screening.

3. AI Diagnosis: Use our AI CADx system to analyze scans and generate malignancy risk assessments.

4. Reimbursement: Bill using CPT code 0721T at $650 per scan—both initial screenings and annual follow-ups generate revenue.

Integration Requirements

• EHR Compatibility: We integrate with Epic, Riverain, Coreline, QureAI, and most major EHR systems
• CT Vendor Support: Our AI reads scans from GE, Philips, Siemens, Toshiba, and other major CT manufacturers
• PACS Compatibility: Works with any PACS system
• No Data Cleaning Required: We handle both structured and unstructured EHR data directly

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Frequently Asked Questions