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Context, not just transcription.

Speech recognition alone is not enough. What is said in a conversation needs the context of existing documentation — otherwise it becomes another information silo. aiomics provides this context: from reports, physician letters, lab results, and all other source documents. Not naively, but with systematic reconciliation.

Where aiomics fits into your existing landscape

Many hospitals already use speech recognition solutions — for in-conversation documentation, dictation, or transcription. These tools solve a real problem: they speed up text creation.

What they do not solve: context. When a discharge letter draft is based on a conversation but does not incorporate prior reports, lab values, and referral letters, the foundation is missing. The conversation becomes the next information silo.

aiomics complements existing solutions rather than replacing them. The platform reads all available documents — regardless of format and source —, structures the content, and reconciles it systematically. The results serve as context for every subsequent step: for reporting, applications, forms, and coding.

Where your hospital already has a solution in place, we create no duplicate structures. Where gaps exist, we fill them.

Why reconciliation matters more than generation

Most AI systems in clinical documentation trust your documents blindly. They read what is there and generate text from it. The result looks convincing — but the better an AI-generated text is formulated, the harder it is to recognize that its foundation was incomplete.

aiomics works differently. Our multi-stage reconciliation process Integros assumes that existing documents may contain gaps and inconsistencies — and reconciles them against each other before anything is generated.

Integros: Four-stage reconciliation process
1

Two independent analysis agents

Two AI agents process the same source documents independently. Each creates its own structured summary.

2

Systematic cross-reconciliation

A third agent compares both summaries specifically for discrepancies and missing information.

3

Synthesis

A fourth agent evaluates the discrepancies found, creates the final structured overview, and clearly marks where source documents diverge.

4

Source references

Every piece of information in the overview is linked to the original document. One click shows you the source.

The principle mirrors the peer review process in scientific publishing: independent reviewers assess the same subject matter, an editor consolidates the findings, and the original data remains accessible at all times. Except the process takes seconds instead of months — and applies to every single patient record.

Integros creates administrative overviews based on existing documents. No clinical assessment or diagnosis.

Modules in Detail

Admission Management — Admit the right patients quickly and reliably

Problem
An average rehabilitation hospital receives hundreds of referrals per month. Only a fraction actually fits the treatment profile. Each referral requires reviewing unstructured documents — referral letters, prior reports, cost approvals — to assess eligibility. This consumes physician time needed elsewhere. The consequences: Well-suited patients go to hospitals that respond faster. Inappropriate admissions cause effort that helps no one. And when admission documentation is incomplete, there is a risk of primary misallocation — with financial consequences from the payer.
Solution

Admission management displays all pending referrals and planned admissions on a Kanban board. aiomics reads incoming documents, structures relevant information, and flags missing documents. Eligibility assessment becomes faster, documentation is complete from the start.

Result

Faster responses to suitable referrals. Less effort for unsuitable ones. Complete admission documentation before the payer asks.

Product Preview
Admission management — no automated decisions.
New1
Richter, Helmut
74 y. · m · Stroke rt.
Swallowing disorder
Anticoagulation
BI: 30FBI: -85
3/4
SJ
Follow Up1
Yilmaz, Mehmet
61 y. · m · Polytrauma
Fall risk
Osteoporosis
BI: 55FBI: -40
4/4
CW
Accepted1
Schulz, Gerda
82 y. · f · THR right
Fall risk
BI: 45FBI: -60
4/4
SJ
Rejected1
Weber, Klaus
58 y. · m · Disc surgery
BI: 75FBI: -20
2/4
CW

Patient Overview — Know in minutes what takes hours of chart review today

Beta
Problem
Patient information is spread across referral letters, prior reports, lab results, surgical reports, medication plans, and handwritten notes. Consolidation is manual work — and even after an hour of chart review, questions remain: Is the medication list correct? Was the allergy documented everywhere? Which of the three reports is current? Anyone who misses relevant information on page five of a prior report only notices when it has consequences.
Solution

aiomics creates a chronological, structured overview based on all available documents. Diagnoses, medication, findings, allergies, and lab values are extracted and reconciled. Where documents diverge, it becomes visible — with direct access to the originals.

Result

You see in minutes what is in which document, what is missing, and where sources disagree. The chart review stays with you — but the groundwork is done.

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Data overview — no clinical assessment. Source documents accessible via the document icon.

Reports and Letters — From back-and-forth to finished draft

Problem
A discharge letter starts as a draft by the junior physician. The attending corrects — often fundamentally. The draft goes back. Gets revised. Goes back again. Sometimes via the typing pool, sometimes by email, sometimes on paper. What could be finished in minutes stretches over days. The result: Discharge letters that reach patients two weeks after discharge. Referring physicians who get no feedback. Payers who ask why documentation is incomplete.
Solution

aiomics generates source-based report drafts directly from the patient overview. Structure and formatting follow your templates. Each section is linked to the original source. Revision effort decreases — because the foundation is more complete than what someone assembles from memory or the HIS.

Result

Fewer revision cycles. Faster completion. Discharge letters within days — not weeks.

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Mueller, Anna

67 years · female · 06/15/1958 · AOK Niedersachsen

Penicillin allergy
Fall risk
3 Contradictions
Patient
Case Analysis
Reports
Conversation
Forms
Lab
Sources

AI draft — physician review and approval required.

Revenue Protection — Good documentation starts before day one

Problem
Whether rehabilitation hospital with DRV reimbursement or acute care in the DRG system: revenue losses rarely come from wrong medical services. They come from documentation that does not traceably reflect the services provided. In rehabilitation: Extension requests submitted without complete justification. Treatment courses assembled after the fact instead of documented from the start. In acute care: OPS codes that cannot be cleanly derived from the record. Secondary diagnoses in a prior report but never adopted. The common denominator: Those who build documentation only after the fact will always remain reactive.
Solution

aiomics ensures that documentation-relevant information is captured in a structured way before and during treatment — not only at the discharge letter or coding stage. The platform drafts payer communications and applications based on available documentation, with source references.

Result

Documentation that is traceable from the start. Less retroactive assembly. Fewer follow-up questions. More trust from the payer.

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Completeness hints — not medical recommendations.

HINTS (0)

ℹ️The field 'Rehabilitation Prognosis' is empty.

Health insurers frequently reject applications without a rehabilitation prognosis.

Based on GKV rejection statistics.

Dismiss
💡The rehabilitation necessity justification could be supplemented with ICF data.

Activities and Participation.

ICF coding strengthens the application justification.

Dismiss
⚠️No current social history assessment found in the record.

Information about home care situation can strengthen the application justification.

Social factors influence the approval decision.

Add manuallyDismiss

Coding suggestions based on documentation — no billing advice. All suggestions require physician review.

Forms and Applications — 10 minutes of typing that no human should still be doing

Beta
Problem
Admission forms, rehab applications, social service requests, discharge management checklists: 10 to 15 minutes per form, with information that has long been documented elsewhere. Transcription errors are normal. Missing fields too. And the problem does not end with submission. The payer asks follow-up questions. The answer requires searching the record again. Follow-up communication often takes more time than the form itself.
Solution

aiomics generates suggested form content based on the patient overview. Before submission, missing required fields are flagged. When the payer follows up, relevant source information is already structured and ready.

Result

Less typing. Fewer errors. And when the follow-up question comes, the answer is prepared.

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3. Need for Rehabilitation
1/1 Fields
AI-generated — please review and confirm
📄Physician's letter Klinikum Hannover, 03/08/2026
Section reviewed and confirmed
4. Rehabilitation Capacity
1/1 Fields
AI-generated — please review and confirm
📄Physician's letter Klinikum Hannover, 03/08/2026
Section reviewed and confirmed

Completeness hints — no medical recommendations.

Pragmatic, not theoretical

We know what reality looks like. Interoperability has been a big promise in European healthcare for years — and in practice, integration often means five-figure investments and 18 months of delay before a project can even start.

That is why we built aiomics to work without deep system integration. The platform runs in the browser. No installation. No maintenance. No upgrade tasks for your IT department. Essentially, you just need to inform your IT that they do not need to do anything.

Where integration makes sense — such as lab connections, fax reception, or importing from existing systems — we actively offer it and take on a generous share of the integration work. We support HL7v2, FHIR R4, and ISiK.

And for everything else, there are pragmatic interim solutions: document upload, scan connection, folder monitoring. Fast, straightforward, without dependency on complex interface projects.

Want to see how aiomics works with your documents?

Explore the Platform

No-obligation demonstration — with your own documents if you like.