Bring clinical expertise into the concept
The experience concerned a complex healthcare journey.
Develop the direction with clinicians and data scientists so product exploration remained connected to domain knowledge.
Healthcare AI · Proof of concept
OVA · Abbott Laboratories
A five-week exploration of AI-assisted support during IVF, shaped with clinicians and data scientists and kept within the boundaries of a proof of concept.
IVF combines complex information with an emotionally demanding experience. The concept explored whether an AI-assisted product could make support more understandable and useful during that journey.
The work needed clinical input and a bounded scope. The immediate goal was to explore a credible direction with the right partners.
I directed the concept work with clinicians and data scientists, connecting the intended patient experience with clinical and technical perspectives.
Clinician and data-scientist collaboration shaped the exploration. The five-week timebox defined the work as an early proof of concept.
The experience concerned a complex healthcare journey.
Develop the direction with clinicians and data scientists so product exploration remained connected to domain knowledge.
This was early exploration within a five-week window.
Frame the output as a proof of concept, with a clear boundary between a proposed support experience and a deployed clinical product.
The timeboxed collaboration produced an AI-assisted IVF support concept. The scope here is the concept and its development process.
The output was a proof of concept for an IVF support experience. It is presented as exploratory work, with no claim of patient outcomes or clinical validation.
In healthcare, a useful concept has a clear scope and the right expertise around it. Design leadership includes knowing what the evidence supports at each stage.