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Structured medicinal data and AMTS

Medicinal data only becomes safety-relevant when it is structured, current and machine-processable. I advise and build across the entire downstream chain — from data modelling through medication therapy safety to verification at the point of dispensing.

What this is about

Between the approval of a medicine and its safe use by a patient lies a long processing chain: master data must be structured, interactions and contraindications made checkable, batches verified, and information delivered into the systems of pharmacies, hospitals and practices. This downstream half — from the approved datum to clinical usability — is my field of work.

What sets this apart from pure software consulting: I built these products myself. Structured data and AMTS products at Gelbe Liste, the pharmacy-server side of the securPharm anti-counterfeiting system, and eight years as CTO of a pharmacists' association. This combination of domain knowledge and engineering is rare — and it is why I don't just recommend decisions, I can also implement them.

Focus areas

Data modelling and data quality

Medicinal master data is complex: dosage forms, active ingredients and combinations, ATC classification, PZN references, pack sizes, pricing and reimbursement information. I help model this data so that it is not only correct but also versionable, traceable and usable for AMTS checks — the prerequisite for everything that follows.

Medication therapy safety (AMTS)

AMTS is only as good as the data and the checking logic behind it: interaction checks, contraindications, duplicate prescriptions, dosage limits. I advise on building and evaluating such mechanisms — with an eye for where structured data creates real safety, and where it merely produces false alarms that get clicked away in daily practice.

securPharm and EU-FMD verification

The EU Falsified Medicines Directive requires verification of every pack at the point of dispensing. I helped build the pharmacy-server side of this system and know the architecture from both ends: the connection to the national verification system, the performance requirements at the dispensing point, and the error cases that actually occur in practice.

Integration into care delivery

Data delivers its value only inside the user's system — the pharmacy management system, the hospital information system, the practice system. I advise on the performant, multi-tenant provision of AMTS-enriched data and on how it fits cleanly into existing care processes.

How I work

A project usually starts with an honest assessment of the existing data structure — because that is where what is possible downstream is decided. Building on that, I clarify the strategic direction with you and can, where wanted, take on or accompany the implementation. Technically I work with modern Java and Jakarta EE (Quarkus, Vaadin) and use AI-assisted development to deliver faster and at higher quality — without giving up technical control.

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