Scattered records
One question. Dozens of documents. The relevant detail is rarely in the first place you look.
Your teams do the work that matters. Our AI agents help make sure the paperwork stands behind it. From the first MD query to a well-grounded objection.
Let’s talkThe right passage. In the right context.
Sources connectedYou have the final word.
GOOD CARE DESERVES A STRONG CASE
An audit turns everyday documentation into a high-stakes evidence search. The answer may already be in the record. Finding it, connecting it, and making the case is what takes time.
One question. Dozens of documents. The relevant detail is rarely in the first place you look.
Clinical evidence and coding rules need to tell the same story. Every detail counts.
Your experts should be evaluating the case, not assembling it from scratch.
MEET YOUR NEW TEAMMATES
Purpose-built support at the moments when hospital revenue is on the line. Explore a simplified example of each workflow.
01 / UNDERSTAND & PREPARE
MD Audit AgentTurn an MD query into a focused review. The agent reads the question, finds relevant passages in the case record, and prepares a source-linked response for your team.
MD query
Treatment notes document continued monitoring on day 3.
Select at least one document to continue.
The selected documents were sent to the MD in this example.
02 / EVALUATE & RESPOND
Widerspruch AgentWork through a disputed MD finding, one argument at a time. The agent weighs the submitted record and relevant coding rules to draft an objection—or explain where the evidence falls short.
Disputed finding
Challenge day 3 using the documented monitoring. Do not contest day 4 on the evidence available.
Supported by coding guideline DEMO-12 and SEG 4 example DEMO-024, linked to the documented treatment course.
Illustrative references · fictional identifiersWe request reconsideration of day 3 based on the submitted treatment notes [1]. We do not challenge day 4 on the documentation available. This draft requires your review.
FITS THE WAY YOU WORK
Connect to your KIS and LE-Portal to bring case records and audit correspondence together.
Connect requirements to evidence, surface uncertainty, and assemble a response.
Your team checks the sources, edits the draft, and decides what to submit.
TRUST IS PART OF THE PRODUCT
Healthcare AI needs clear boundaries. We build for traceable evidence, deliberate data handling, and people who stay in control.
Drafts stay drafts until your team reviews them. Agents do not independently submit responses or make billing decisions.
Supporting claims link back to the record. Missing evidence is surfaced so your team can judge the strength of the case.
Field-level data classification and metadata-only logging by default are built into the core architecture.
Data flows, processing arrangements, access, and retention need to be agreed with your hospital before production use.
No. Onsano supports the research and drafting work. Your experts review the sources, assess the argument, and retain responsibility for the final response.
Onsano is being built around existing hospital workflows, with ISiK/FHIR integration work in the core platform. We discuss system compatibility, document access, and deployment scope with each hospital.
These are simplified, interactive illustrations using entirely synthetic data. They show the workflow, not the complete interface, live AI output, or a guaranteed outcome.
Book a conversation with us. We will walk through the agents, understand your audit workflow, and discuss what an evaluation could look like.
LET’S BUILD A STRONGER CASE
See what Onsano could do for your Medizincontrolling team.
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