Realizing Digital Transformation in Healthcare, Pharma & MedTech with Responsible AI

Introducing a technology is one thing; getting people to use it so that it has an effect is another. That is why I bring business, medical, technology, market access and regulation to the same table.

The healthcare industry, public health and applied AI are three fields I have worked in and three languages I understand, built on an engineering foundation. My three areas of expertise, AI & Digital Transformation, Strategic Growth & Future Trends and Leadership & Change, rest on exactly that ability to translate.

Few areas depend as heavily on interdisciplinary collaboration as AI and digital transformation. Solutions that hold up are not built inside one function; they are built between them. That holds all the more in highly regulated fields such as the pharmaceutical industry, medical technology and among other actors in the health system. I translate between these worlds: identifying business problems that data and AI can actually solve, separating real developments from hype, prioritizing use cases, and steering implementation through to adoption in everyday work, accompanied by change management and targeted upskilling.

The foundation is the European value system. Solutions follow four design principles for a target vision of humane AI use: human-centred design, explicability, relief from burden and distributed control. The EU AI Act, data protection and compliance are part of delivery, not a review step bolted on afterwards. Public health does not ask whether a solution can work, but whether it arrives across the board. Shaping the patient care of tomorrow therefore means less time between diagnosis and effective therapy, in the individual case and in everyday care.