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OptimIQ Health
About

Built by the three groups that actually decide whether a visit gets paid.

OptimIQ Health was founded by experienced internal medicine physicians, revenue cycle experts, and an AI, NLP, and machine learning team — working on the same problem from three directions at once.

Why we exist

The chart already contains the answer. Nobody has time to read it.

An organization generates more documentation than any human can review before a fifteen-minute visit. So coverage goes unverified, chronic conditions go unaddressed, services go unbilled, and denials get written off. Not because the practice is careless — because the reading has to happen faster than a person can read.

The clinical view

A physician knows which sentence in a two-hundred-page chart matters, and which suggestion is a distraction during a visit.

The revenue view

An RCM veteran knows which payer will deny, which code needs which modifier, and which denial is worth appealing twice.

The engineering view

An AI team knows how to make a language model cite its source, hold back when unsure, and stay auditable a year later.

The team

Clinical, financial, and technical, arguing until the answer holds.

Nothing ships unless every group agrees it is clinically sound, financially correct, and technically defensible.

Three internal medicine physicians in white coats reviewing a patient chart together on a laptop in a modern clinic

Internal medicine physicians

Practicing clinicians who have carried the panel, signed the notes, and answered the payer query. They decide what belongs in a chart and what is noise.

Revenue cycle specialists reviewing medical claims and billing worklists on dual monitors in a bright, daylit office

Revenue cycle experts

Veterans of eligibility, coding, denials, and payer contracts who have run revenue cycles at scale and know exactly where the money leaks.

Data scientists reviewing analytics charts and a model dashboard on a large wall-mounted display in a bright, daylit workspace

AI, NLP, and ML engineers

Engineers who build clinical language systems that cite their sources, hold a code until the chart supports it, and keep a human in the loop by design.

Principles

The rules we do not trade away.

These are the constraints that shaped every product decision in the platform — including the features we chose not to build.

Evidence or nothing

Every code, diagnosis, and query carries the chart sentence that supports it. If the chart does not support it, the system stays quiet.

A human always signs

Our models draft, rank, and cite. A coder, nurse, or physician accepts. We do not ship anything that bills on its own authority.

Clinician time is the scarcest resource

If a feature adds a click to a physician’s day without removing two, it does not belong in the product.

Honest numbers only

We publish what the platform does, not projected savings we cannot stand behind. Results shown to you come from your data, in your review.

Plainly

What we will not do.

Worth saying out loud, because in this category most of the disappointment comes from things a vendor implied and never wrote down.

  • We do not upcode. Suggestions stop at what the documentation supports, and our reviewers are measured on accuracy, not lift.

  • We do not sell a second inbox. If a product cannot live inside the EHR workflow, we do not ship it.

  • We do not publish testimonials or metrics we cannot attribute to a named customer who approved them.

Talk to the people who built it.

Demos are run by the physicians and revenue cycle leads on our team, not a sales engineer reading a script.