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BEFUND

Befund · Page 2

Analyses of hospital operations, reimbursement and procurement — for management, purchasing and IT.
Editorial collage: a smartphone in shadow next to a clipboard on the ward counter; in the background, two physicians confer

Shadow AI in the Department: Lead It, Don't Ban It

Private ChatGPT accounts have long been co-writing letters. Why bans merely make the use invisible — and the playbook of stocktaking, rules, a safe alternative and training.

Dr. Sven JungmannCEO
A general practitioner's desk with reading glasses, a coffee cup and a discharge letter held in both hands

The Good Discharge Letter: A Short Style Guide

General practitioners read three to ten discharge letters a day — and often cannot find what they need. What makes a letter useful to its recipients can be taught. A short style guide.

Dr. Sven JungmannCEO
Editorial collage: three hands — physician's coat, suit, knitted sweater — reach for a torn document above a green circle

Introducing AI in the Hospital: Why the Betriebsrat Has a Say

Under §87 of the BetrVG, Germany's Works Constitution Act, the Betriebsrat (works council) almost always has a say in employer-provided AI. What hospital leaders should know about co-determination, works agreements and demonstrable anonymity.

Dr. Sven JungmannCEO
Editorial collage: a quarterly report whose figures are connected by threads to queries and control charts, a watermark across the page

Why aiomics for QM reports and quality analytics

A QM report in which every figure resolves to its query and the language model never sees individual data. All of it is planned — and we are laying the architecture open now anyway, so you can measure us against it.

Dr. Sven JungmannCEO
Editorial collage: a desktop microphone on a hospital desk, next to it a transcript whose sentences are connected by threads to an audio track

Why aiomics for documenting the admission conversation

Live and deliberately narrow: aiomics documents the admission conversation — individual patients, a desktop microphone, deletion after 72 hours with proof. Why this scope follows from the error data, and who it does not fit.

Dr. Sven JungmannCEO
Editorial collage: a §301 data record as a form grid, every field connected to its source passage by threads; a traffic light shows the formal check status

Why aiomics for coding suggestions and §301 preparation

Coding suggestions only for what is explicitly documented, a deterministic §301 gate before transmission: what we are building, why it is designed this way — and why we disclose the status before the module is released.

Dr. Sven JungmannCEO
Editorial collage: a physician letter whose sentences are connected to source documents by threads; a marked gap shows a missing entry

Why aiomics for discharge letters and physician letters

Draft generation is live, the verified pipeline is planned: how aiomics builds physician and discharge letters with a source pointer per sentence, why omissions are the bigger error — and where we are not the right choice.

Dr. Sven JungmannCEO
A physician stands at a wall-mounted clinic terminal in late-afternoon corridor light, one hand on the mouse, shoulders slightly dropped at the end of a long shift.
Reflections

The 4 p.m. Hazard: When Bad Software Becomes a Clinical Risk

We regulate how long a doctor may work, but not how hard the day grinds down their judgement. The most dangerous fatigue in a hospital is not in the legs. It is in the part of the mind that makes careful decisions — and clumsy software spends it for free.

Dr. Sven JungmannCEO
A physician stands at a cluttered clinical workstation, several monitors layered with records and alerts, pausing with eyes closed for a moment before the next decision.
Reflections

The Value of AI Isn't Prediction. It's Cognitive Ergonomics.

We keep debating whether AI will replace doctors. The real threat is quieter: a data environment so noisy it stops clinicians from thinking at all. A case for tools that curate the evidence rather than predict the answer.

Dr. Sven JungmannCEO
Editorial collage: an admission board with cards whose fields are connected to source documents by threads; one card returns to the surface with a note attached

Why aiomics for admission management

An admission board that runs live in production, has no field for clinical urgency, and lets no case sink from view. Why both are deliberate — and where we are not the right choice.

Dr. Sven JungmannCEO
Editorial collage: a tall stack of records from which individual sheets are led by threads to patient cards; a hand confirms each sheet individually with a stamp

Why aiomics for record migration

Taking over legacy records without poisoning the new record: a human confirms every patient assignment — “Confirm all” does not exist. What is live, what is planned, where we do not fit.

Dr. Sven JungmannCEO
Editorial collage: a practice passes documents through a window to a hospital board; between the two, a clear partition through which only narrow status cards travel

Why aiomics for referrer management

A referrer portal that never grades practices and leaves the analysis with the hospital — in pilot preparation, and named as such. What it will do, who can start today, and where we do not fit.

Dr. Sven JungmannCEO
Admitting physician at a desk with faxed prior findings and referral documents, a structured admission record on the screen

The Admission Record Begins Before the Patient Arrives

Most of what makes an admission record stand up to payer review already exists before the patient arrives — in the referral documents. How structured extraction, verification and provenance prepare an evidenced admission record.

Dr. Sven JungmannCEO
Desk of a quality management officer with a printed quarterly report, notes, and an open laptop

The Quarterly Report the QM Officer Personally Owes

Gathering numbers, building tables, drafting text: the quarterly QM report costs quality management officers days. What an automatically drafted report would have to look like for an auditor to trust it.

Dr. Sven JungmannCEO