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Prepare existing records for the next task.

Aiomics brings case records together, compares documented information and creates drafts using your templates. Source references, omission notices and visible differences support review of letters, admission documents and payer responses.
How it works

The platform in brief

Prepare records, review information and coordinate the next steps as a team.
01

Bring records together

aiomics brings the supplied case records together and makes documented information available for subsequent tasks.

  • Text recognition for scanned documents
  • Assign documents to the appropriate patient record
  • Original sources alongside the prepared information
02

Reconcile information

Independent analyses and cross-checking help reveal differences and missing information in the records.

  • Source references for review
  • Notices of differences and omissions
  • Drafts based on your hospital’s templates
03

Work together

The shared case view connects records, progress and responsibilities. Physicians, nursing, therapy and administration work on the same case.

  • Manage referrals and admissions together
  • Keep deadlines and responsibilities in view
  • Record questions directly against the case

The overview organises cases by administrative criteria. Clinical assessment, urgency assessment and approval remain with the responsible professionals.

Where aiomics fits into your existing landscape

Aiomics processes the documents you provide for a case. The shared overview connects structured information with the original records.

During review, trace information to its source, examine differences between documents and address missing-information notices.

Selected sources support further documentation tasks: admission reports, discharge letters, applications or responses to payer enquiries. Templates define structure and requested information.

You determine where aiomics fits into your workflow and how reviewed results are used.

Compare information and check omissions

Source comparison examines multiple structured representations of the same documents for differences and missing information.

Notices and related sources support your team’s review. Documented information remains distinguishable from professional additions; responsible staff resolve unclear points.

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

Source references connect structured information with original documents. Open the supporting passage and review the statement in context.

Inspect the workflow with an example case: open a supporting passage, follow a differing account and check an omission notice.

The comparison concerns documentation. Medical assessment and professional decisions remain with the responsible people.

Evidence

What we hold this design to

Four findings from the literature. Three support this design, one limits what it can achieve — and we name it ourselves.
  • 50–82 %

    Six language models were given 300 physician-validated case vignettes, each containing one fabricated detail: a laboratory value, a physical finding, or a condition. Depending on model and prompt, the models elaborated on the fabricated detail in 50 to 82 percent of cases. A prompt written specifically to prevent this lowered the mean from 66 to 44 percent.

    Source: Omar M, Sorin V, Klang E et al., Communications Medicine 2025;5:330

  • below 50 %

    More than 27,000 diagnosis and procedure codes were drawn from twelve months of routine care. The models were handed the official description of each code and asked to name the code. Every model tested stayed below 50 percent correctly reproduced codes.

    Source: Soroush A et al., NEJM AI 2024;1(5):AIdbp2300040

  • 75.3 %

    In a survey of 2,207 care workers across 118 facilities, 75.3 percent rated filling in the resident's health record as a strong or rather strong burden — more often than any other administrative task. A higher administrative load went together with higher odds of intending to leave the profession (OR 1.24; 95% CI 1.02–1.50).

    Source: Ausserhofer D et al., BMC Geriatrics 2023;23:347

  • The counter-finding we name ourselvesn.s.

    The same study finds no significant association with emotional exhaustion in the fully adjusted model (OR 1.22; 95% CI 0.98–1.52). What less administrative work does for exhaustion remains open. The association with the intention to leave the profession is the one that holds.

    Source: Ausserhofer D et al., BMC Geriatrics 2023;23:347, fully adjusted model

That is why reconciliation comes before generation at aiomics: two independent analyses, a cross-check against the original document, a consolidation — and physician approval at the end.

Capabilities

Everything you need. In one place.

The full capability set, sorted by area of work. Anything running as a pilot, available on request, or still in the making is marked.

Intake and reading

  • Bulk upload
    Entire record stacks for several patients in one operation
  • Text recognition
    Scanned and photographed pages become machine-readable
  • Document splitting
    Bundled transmissions are separated into individual documents
  • Patient matching
    A proposed record match, confirmed by a person
  • Data-quality checking
    Flags illegible pages, missing attachments, and contradictory entries
  • Source view
    Original document and processed version side by side
  • DictationPilot
    Voice input directly in the field, with a correction step
  • Fax intakeon request
    Digital fax reception straight onto the board
  • Lab connectionon request
    Findings via LDT and HL7 directly into the record

Reconciling and evidencing

  • Integros reconciliation
    Two independent analyses, cross-check, consolidation
  • Source references
    Every entry points to a document and a page
  • Divergence flags
    Where sources contradict each other, the result says so
  • Gap flags
    Missing mandatory entries are marked before submission
  • Draft marking
    Unverified AI entries are visually set apart
  • Express modeplanned
    A shortened run for routine cases, with the approval duty unchanged
  • Timelineplanned
    The course of the case across all available documents
  • Lab valuesplanned
    Organ groups, reference ranges, trends
  • Medication overviewplanned
    Consolidated from every available source

Working as a team

  • Admission board
    Incoming referrals from enquiry through to admission
  • Case card on your own terms
    Per patient, the fields your hospital has defined: travel distance, payer, referring practice, registered care needs, notes from the documents such as multi-resistant organisms
  • Bed-management board
    Bed and appointment planning in the same system
  • Preliminary and payer dialogue board
    Payer correspondence with deadlines and status
  • Role views
    Each profession sees the columns its work requires
  • Ownership
    Every card has one responsible person
  • Comments
    Queries stay on the card, linked to the case
  • Change history
    Traceable record of who changed what and when
  • Discharge boardplanned
    Discharge as its own board configuration

Writing and documenting

  • Report drafts
    Physician letters, admission findings, progress notes
  • Template library
    More than 100 templates for rehabilitation and acute care, cut to your hospital's own documents and workflows
  • Personal style
    Drafts follow the physician's own way of writing
  • Form completion
    Proposed field content drawn from the record on file
  • Rehabilitation reporting (DRV)
    Discharge reports and extension requests for the German pension insurance
  • Payer letters (statutory and private)
    Correspondence with statutory and private payers, every passage with its source
  • Complex treatments and OPS
    Progress and evidence documentation against the minimum criteria, flagging what is missing
  • Patient letter
    A plain-language version for patients
  • Expert opinionsPilot
    Templates for medical expert reports
  • Encounter documentationPilot
    Structured drafts from recorded conversations
  • House template (.docx)planned
    Output directly on the hospital's own letterhead

Protecting revenue

  • Preliminary and payer case dialogues
    Reply drafts with a source trail from the record
  • Medical Service review proceedings
    Contesting, discussion and litigation stages in one place
  • Deadline tracking
    Deadlines under the audit procedure agreement (Prüfverfahrensvereinbarung) in view
  • Coding notes
    Notes on ICD-10-GM and OPS based on what the documents contain
  • Extension requests
    Reasoning drawn from the documentation on file
  • Private-fee codingplanned
    Proposed items for private billing, each with its source passage
  • Private-fee checkingplanned
    Exclusions, reductions and multipliers through fixed rules
  • Case-law referencesplanned
    Pointers to the relevant decisions
  • § 301 data checkplanned
    Checking the data before the hospital system transmits it

Involving patients and referrers

  • Questionnaires and surveys
    Your own instruments for patients, relatives and staff — at the bedside, at home, or on paper
  • Admission questionnairesPilot
    Structured information ahead of the appointment
  • Measurement wavesPilot
    Measurement points by calendar or by admission and discharge
  • Patient portalplanned
    Documents, appointments, and forms for patients
  • Referrer portalplanned
    Referring practices submit documents digitally

Quality and management reporting

  • PROM and PREM analysisplanned
    Admission-to-discharge comparison at group level, with case count and completeness
  • Subgroup analysisplanned
    Breakdown by indication group, department, ward, quarter and payer
  • Trend chartsplanned
    Development across quarters, with control limits for ordinary variation
  • Referrer analysisplanned
    Origin of enquiries, turnaround time and admission rate per referring practice
  • Occupancy and turnaroundplanned
    Occupancy and processing times at team level
  • Quarterly and management reviewplanned
    Drafts along the requirements of the federal quality directive and ISO 9001
  • Minimum group sizeplanned
    Subgroups below the minimum stay hidden, with a note that they were suppressed
  • Staff surveys and incident reportingplanned
    An anonymous channel, reports on near-miss events
  • Structural audit dossierplanned
    Evidence for the structural audit under § 275a SGB V

Security and traceability

  • EU processing
    Processing and storage exclusively within the European Union
  • ISO/IEC 27001
    Certified by TÜV NORD
  • Roles and permissions
    Access by function and by area
  • Approval requirement
    No AI output enters the record without physician approval
  • AI labelling
    Machine-generated content is marked as such
  • Audit logPilot
    System-side logging of every action

Connecting and getting started

  • Browser operation
    No installation, no maintenance for your IT
  • HL7 v2
    Connection to existing systems
  • FHIR R4
    Structured data exchange
  • ISiK
    The German interoperability standard for hospitals
  • Folder monitoring
    A watched directory as the simplest way in
  • Scanner connection
    Existing scanners deliver straight into the record
  • Onboarding portal
    A protected portal that guides the internal project lead through the five phases of a rollout — free for customer hospitals
  • Rollout material
    Ready-made documents for every phase, from the invitation to the executive board to the works council briefing
  • Fax intakeon request
    Digital fax reception via a cloud service
  • Lab connectionon request
    LDT 3.0 for findings and orders

Unmarked: in production use at customer hospitals. “Pilot”: under trial at individual hospitals. “on request”: available, with effort and price set by your systems landscape. “planned”: specified, not yet in use.

In development

What comes next

Specified, some of it already under trial. We name dates once they hold.
  1. Inpatient documentation

    Daily progress documentation on the ward, every day in the same tool — so the record is complete on the day of discharge.

  2. Discharge management

    Discharge as its own workflow on the board: responsibilities, deadlines, completeness checks. Discharge letters are already produced today as source-based drafts.

  3. Quality management

    Group-level analysis of your own surveys, plus the reports the federal quality directive, the rehabilitation framework agreement and ISO 9001 ask for.

  4. Operational analytics

    Occupancy, turnaround times, admission rates and referrer origin — at team level, with a minimum group size enforced in code.

  5. Outcome analytics

    Admission-to-discharge comparisons from validated questionnaires, broken down by indication group and department.

Planned capabilities are marked as such on this page. We do not name dates before they hold.

See quality management

Modules in Detail

Coordinate admissions and referrals

Problem
Admission work brings together incoming documents, outstanding questions and responsibilities. Aiomics provides a shared case view.
Solution

Admission management shows current referrals and planned admissions in a shared case view. The platform extracts and structures recorded information and flags missing documents. The team can organise cases by arrival date, workflow status, and responsibility, and prepare follow-up requests.

Result

Documents and follow-up requests in one place. The admissions team can see each case’s status; the responsible professionals make the clinical assessment and admission decision.

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 with access to sources

Beta
Problem
Checking an assertion requires its document, context and any differing accounts. Aiomics prepares this information from the supplied records.
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

Review structured information together with original sources. Difference and omission notices support checking.

Product Preview

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

Prepare letters and reports using your templates

Problem
Aiomics combines selected sources with the required report structure. The draft can be reviewed and completed; additional approval stages can match your hospital’s process.
Solution

The platform creates draft medical letters and reports from the patient overview. Structure and formatting follow your templates. Source references help reviewers check the extracted information. Physicians complete and approve the draft.

Result

An editable draft with source references, omission notices and the required report structure. Professional review remains part of the workflow.

Product Preview
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.

Handle payer enquiries using the existing record

Problem
Which documented facts address the specific enquiry? Aiomics brings the supplied records together and prepares a draft with supporting passages.
Solution

The platform prepares payer-response and application drafts from existing documentation. Responsible professionals check evidence, reasoning and procedural context.

Result

The information used and its sources are available for review. The hospital approves and sends the response.

Product Preview
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

Processing uses documented facts. Specific checks of German procedure-code requirements and further procedural automation are planned.

Prepare forms and applications from existing information

Beta
Problem
Aiomics assembles documented information for your form template. Your team checks the proposed content and completes outstanding fields.
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

The form draft and its source records are available together for review and completion.

Product Preview
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.

Define the handoff into existing systems

Integration starts with the specific task: which documents arrive, which information is needed and which system receives the work?

The application runs in a browser. A defined use case can start with supplied documents; setup includes access rights, data protection and organizational requirements.

For a direct connection, review the input channel, data fields, output format and destination system. Individual interfaces depend on the system and agreed scope.

The trial also covers confirmation, corrections and transfer exceptions, making automated and staff-operated steps visible.

Want to see how aiomics works with your documents?

Explore the Platform

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