IMPLEMENTATION AND ENABLEMENT

Bringing AI into the hospital, one workflow at a time.

Four formats for hospitals: a leadership session, a programme in which your team rebuilds one workflow, an AI governance structure and a vendor assessment before procurement. Each has a fixed duration, named participants and a result your hospital holds afterwards. The formats are led by Dr Sven Jungmann, physician and co-founder of aiomics.

Hospital leaders and chief physicians around a table; a facilitator holds up a card with a single workflow.

Two physicians and a nurse reviewing an admission board on screen together

Four formats

Each can be booked on its own, and they build on one another. What fits your hospital is something we settle in the first conversation. Often it is less than you expect.

Leadership session

Duration: Half a day · on site or by video
Who takes part: Executive management, medical and nursing directors, head of IT, medical controlling

After this session your leadership team speaks the same language. How a language model works and why it can be convincingly wrong. What the EU AI Act asks of a hospital and what it does not. How a good implementation can be told from a bad one. We work from examples in your own hospital.

What your hospital holds afterwards

A self-diagnosis across six dimensions, completed in the room · a shortlist of the workflows worth rebuilding first · minutes with named owners

Enquire about this format

Rebuild one workflow

Duration: 6 to 12 weeks · self-study modules and in-person sessions · one cohort from your hospital
Who takes part: Department heads, senior physicians, nursing leads, medical controlling, quality management, IT

This programme ends in a rebuilt workflow. Participants work on a real project from their own area, one that matters to them personally. Between sessions we accompany the work; in the sessions it is put to the test.

What your hospital holds afterwards

Self-study modules on how the technology works, evaluation, oversight and data law · fortnightly working sessions · one results report per project, with a baseline and an end value

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AI governance structure

Duration: 4 to 8 weeks · stocktake, draft, handover
Who takes part: Executive management, data protection, IT security, medical director, quality management

For a hospital to answer for its use of AI, three things have to exist: an overview of where it is used, clear responsibilities, and rules that survive the working day. We build that structure with you, oriented on ISO/IEC 42001, the international standard for AI management systems, at the depth that fits your hospital. Often the overview begins with the private use that is already happening without anyone having authorised it.

What your hospital holds afterwards

A stocktake of the AI in use across the hospital · one page of usage rules · a risk register with one named owner per entry · responsibilities and decision paths · a classification of your applications under the EU AI Act · evidence of AI literacy under Article 4

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Vendor assessment before procurement

Duration: 1 to 4 weeks · per procurement, or as a standing framework
Who takes part: Procurement, head of IT, data protection, medical controlling, the department concerned

A polished demonstration is weak evidence of a working product: it was built from the cases in which the technology shines. We give you the checklist that lets you judge an offer before it has been tested in your hospital. It applies to specialised clinical vendors as much as to the general-purpose AI assistants already in use in many hospitals. If you want to look closer, you test against a set of real cases from your own hospital; we build that with you too.

What your hospital holds afterwards

A procurement checklist, separated for specialised solutions and for general-purpose assistants · a criteria catalogue for the tender and the award · a question catalogue for vendor meetings · one assessment report per vendor

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The distance between use and return

The figures are stable across industries: almost everyone uses AI, few earn from it. In a hospital, a mistake also costs more than money.

88%of organisations report regular AI use in at least one business functionMcKinsey, The State of AI, November 2025

6%report a substantial earnings contribution: more than 5% of operating profitMcKinsey, The State of AI, November 2025

23%of companies in Germany have set rules for the use of AI toolsBitkom Research, October 2025 (604 companies with 20+ employees)

Article 4AI literacy among staff has been a deployer obligation since 2 February 2025Regulation (EU) 2024/1689 (EU AI Act)

Much of that distance is decided by the work before and after the purchase: which workflow gets rebuilt, who answers for the result, what gets measured. That is where the four formats start.

Example: two routes to a letter draft

AI for phrasing

AI tool

collect documents
transfer information
structure the letter
write the text

Nothing has changed place. The invoice arrives regardless.

Sources and review in the workflow

AI preparation

supply records
read, sourced, signed off
decided earlier
approve and transfer

Source review, corrections and handover are planned as a connected workflow.

How we work

Start with one workflow

Large AI initiatives often lose themselves in breadth. We begin with a single workflow: one that occurs often, is tiresome enough to be worth the effort, and whose result can be measured.

Define the measure and responsibility

Before the start, we agree the evaluation measure and the person responsible for the operational result.

The works council from the outset

We involve the works council early in planning. Data processing, access rights and effects on work form part of that discussion.

Decide whether to continue from the results

If the workflow does not hold after twelve weeks, we say so. An honest stop is cheaper than any continuation of the wrong thing, and it teaches more about the second workflow than a flattering report would.

Experience and qualifications

We build AI case processing for hospitals ourselves. Aiomics reads the documents that arrive with a case, links the information to its source and prepares the admission decision, the letter and the reply to the insurer for sign-off. A physician or the responsible professional signs off every document, and can check any sourced statement against its source in one click.

A physician who used the systems

Sven Jungmann worked as a physician in hospitals, with software somebody else had chosen. Alongside that: a Master of Public Policy from Oxford and a Master of Public Health from the London School of Hygiene & Tropical Medicine.

Experience in development and hospital digital leadership

He has built digital solutions himself and was Chief Medical Officer of the first digital company of a large European hospital group. Selection, rollout, resistance inside the building: we know those questions from the seat where they have to be answered.

Certified for ISO/IEC 42001

Sven Jungmann is TÜV-certified for AI management systems under ISO/IEC 42001, the international standard that tenders increasingly ask for.

ISO/IEC 27001:2022 certified

Aiomics is certified to ISO/IEC 27001:2022 by TÜV NORD CERT, and data is processed exclusively in the EU. We know how a certification runs from the side that is audited.

Independently evaluated

The Charité is evaluating work with aiomics independently and scientifically. The evaluation carries no endorsement of aiomics. How to set up an evaluation like that is part of what we pass on.

In use

Since January 2026, aiomics has processed about 5,000 patient cases at sites of a large German hospital group. We know where an implementation snags from running it ourselves.

What we do not take on

Procurement law. That needs lawyers. We supply the substantive criteria that belong in the documents.
Certification. We prepare and accompany; the certificate is issued by an accredited body.
Referrals for commission. We take money from no vendor for a recommendation.

Who does this

The formats are led by Dr Sven Jungmann, physician and co-founder of aiomics.

For larger engagements we work with a settled circle of experienced specialists in AI, data science and machine learning, and with partner firms for questions outside our own field.

Whoever works on your engagement is named in the proposal, with their role and their share of the work.

Frequently asked questions

Do we have to use the aiomics platform to work with you?

No. The formats stand on their own, and some of our clients do not use our software. If it turns out along the way that our platform fits your hospital, we will talk about it. If it does not, we will say that too.

You are a vendor yourselves. How do you handle that?

Openly. We do not present ourselves as an independent assessor. What we bring is the view of people who build and run AI for hospitals themselves, and who know the questions a vendor would rather not be asked. We take money from no vendor for a recommendation. Where aiomics is a candidate for your hospital, we apply the same criteria to it as to any other solution.

What does it cost?

That depends on the format, the duration and the number of people involved. We name the price after the first conversation, once we have established what you need. It is often less than expected: a leadership session is not a consulting engagement.

How quickly can we start?

A leadership session can usually be scheduled within four weeks. For the longer formats we plan six to eight weeks of lead time, because choosing the first workflow and taking the baseline measurement are part of it.

We already have a digital strategy. Does this fit?

Usually, yes. The formats start where a strategy has to reach the working day: at the first workflow that gets rebuilt, and at the question of who answers for the result.

What does the EU AI Act require of us as a hospital?

The obligations depend on the specific system, its intended use and your role. Start by identifying and assessing the individual applications. That assessment informs responsibilities, required oversight, documentation, monitoring and information. Preparing the staff involved also includes AI literacy. Physician review of an output does not replace the regulatory assessment of the system.

Do our physicians earn continuing-education credits?

For AI literacy under Article 4 there is a certified online course carrying 3 continuing-education credits from the Hesse State Chamber of Physicians (Landesärztekammer Hessen), endorsed by the Marburger Bund and the German Society of Internal Medicine (DGIM), among others. It can be attached to any of the formats.

Do you work outside Germany?

Yes, across the German-speaking countries and, beyond that, in Europe. The formats are available in German and in English.

Less searching. Less writing. More medicine.

Let's talk about the first workflow in your hospital.

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