Your EHR has the answers. LungIQ finds them.
USPSTF guidelines require a 20+ pack-year smoking history for LDCT eligibility. That number is almost never in a structured field. LungIQ uses AI to recover it from clinical notes and delivers a ranked worklist your team can act on immediately.
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35K patient panel
to ranked worklist
Pack-year history is the rate-limiting step
LDCT eligibility requires a 20+ pack-year smoking history. But that data is almost never in a structured, reportable field. It is the specific reason NCQA has not been able to advance a HEDIS lung cancer screening measure.
Patients minimize or deny smoking history. Intake forms go unfilled. Even when smoking is documented, pack-year quantities are rarely entered into structured EHR fields.
Reviewing a single chart for smoking history takes 15+ minutes. Multiply that by your patient panel. No staff has the bandwidth to check every chart, so eligible patients go unidentified.
FQHCs do not have CT scanners. Eligible patients need referral to imaging, insurance verification, pre-authorization, and follow-up. Without a downstream pathway, identification alone does not move the needle.
How LungIQ works
Three steps. Live in days. No IT project.
No EHR integration needed. Export your data, LungIQ reads the charts, and your team gets a ranked, explained worklist.
See how LungIQ worksExport a flat file
Demographics, notes, diagnoses, and medications from any EHR, under a signed BAA.
AI reads the charts
Smoking history and pack-years are recovered from clinical notes and related signals.
Your team works the list
Patients sorted into action queues, ranked, each with a plain-language reason.
Designed around the constraints you actually face
No new hardware. No vendor lock-in. LungIQ works with any EHR and starts from a simple flat-file export. No IT project needed to go live.
Every shared decision-making visit is billable under your PPS rate. G0296 coding is built into the workflow. Capture visit revenue while improving UDS Table 6B metrics.
We help connect FQHCs with health systems and health plans who have a shared interest in closing the screening gap. Grant funding can help offset costs for qualifying centers.
Improve UDS Table 6B screening metrics and position for the expected HEDIS lung cancer screening measure. Annual screening also brings high-risk older patients back every year, supporting the patient targets your HRSA Section 330 funding is tied to. LungIQ tracks outcomes for reporting.
Your patients are eligible. We help them get screened.
Millions of FQHC patients qualify for lung cancer screening but never receive it. Oatmeal Health finds those patients, reaches them, and connects them to imaging partners.
AI analyzes your patient records to surface everyone who meets USPSTF lung cancer screening criteria.
- Works from a CSV or flat file export
- 9x more efficient than manual chart review
- 94% precision on top-ranked patients
- Supports UDS reporting and quality tracking
An AI patient scheduler texts first, then calls in 70+ languages, prepares patients for their shared decision-making visit, and hands them to your team.
- Heads-up text before every call
- Identifies itself as automated
- Hands off to a real person with a call summary
- Runs within the calling hours you set
When your patient reaches the imaging partner for their LDCT, LungAI provides the radiologist with a malignancy probability for each nodule found. LungAI is investigational and not FDA 510(k) cleared.
- CADx malignancy scoring inside partner CADe and PACS viewers
- Runs at the imaging partner site
- Results flow back to referring provider
- No cost to your health center
LungIQ performance validated on a 35,000-patient FQHC deployment. LungAI performance from internal retrospective validation on NLST held-out data. LungAI is investigational and not FDA 510(k) cleared, and is not available for clinical use. Prospective clinical performance has not been established.
Ready to find the patients you're missing?
Works with any EHR. No vendor lock-in. No IT project.