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Optimize your preventive care billing with AI

Accurate billing for health systems and private clinics. We eliminate upto 40% to your preventive billing errors to reduce revenue leakage and out of pocket bills for your patients.

Built by a world class team of researchers , engineers and healtcare leaders

University of Toronto
McGill University
Yale University
NYU
University of Waterloo
Boston University
GSK
Boehringer
CUSPS
University of Toronto
McGill University
Yale University
NYU
University of Waterloo
Boston University
GSK
Boehringer
CUSPS

AletheiaMD audits every preventive care claim with AI and billing specialists

Catch nuanced billing, coding, and contract errors both pre- and post-pay to maximize reimbursement and reduce waste.

How it works

Our advanced AI and machine learning models identify insurer specific patternsto enable tailored coding with exceptional accuracy

Seemlessly integrates with your existing EHR infrastructure

Share billing data securely without disrupting existing workflows.

Generates recommended codes, delivered to your EHR

AI + billing experts catch errors others miss, across every claim.

Verifies patient eligibility and estimates the likelihood of claim denial for recommended codes

Bring medical evidence into decisions for confident, shareable outcomes.

Automates the claim appeals process for denied claims

Convert findings into recoveries with clear, auditable documentation.

Around 40% of preventive care claims are denied

Roughly 40% of preventive care denials in the U.S. arise from incorrect physician billingatient outcomes year over year. processing errors. When claims are denied, costs are either shifted to patients as unexpected out-of-pocket charges or absorbed by practices as unreimbursed care. This creates a silent source of revenue leakage for health systems and clinics and avoidable costs for patients

Preventive care imposes a substantial annual out-of-pocket burden

These inappropriate out-of-pocket charges impose an estimated annual financial burden of $75 to $219 million for services that should be provided at no cost to patients.

Machine learning models trained for preventive care billing

Our models are purpose-built to address the unique complexity of preventive care billing—unlike general-purpose platforms that rely on static rules—while adapting to patient insurance context and payer requirements.

FREQUENTLY ASKED QUESTION

Everything you need to know

Prevent preventive care claim denials

Eliminate inappropriate out-of-pocket costs for patients. Streamline and accelerate the claims appeals process