My background is in medicine; I trained as a medical doctor and have spent the past decade partnering with healthcare and life sciences organizations on their hardest problems. In that journey, one thing has stayed constant, the people powering these industries stretch further than the system’s boundaries. They find a way to see one more patient, or get one more study over the line. I’ve watched them do it day after day, with a grit that no one can expect.
For years I’ve heard how much AI could do for healthcare. What I’ve mostly seen are pilots that look great in a demo and never make it into daily use. I think that’s finally starting to change, and it’s why I joined Scale.
Why now
AI technology is now capable enough to take on real clinical and operational work but the people closest to that work are stretched thin. However, we can see where the gaps are and where applications can help. Capacity is often the binding constraint so we need to prioritize the experience of patients and providers.
Patient access is one of the clearest examples. Everything between a patient asking for care and actually getting a visit, from scheduling to outreach to follow-up, is full of manual work that keeps people waiting. We see the same in Life sciences research, where there are lengthy manual steps between a promising molecule and patient outcomes. In both cases, the goal isn’t to replace the people doing this work. It’s to give them more time for the parts only they can do.
In my experience, healthcare and life sciences professionals have plenty of creative AI use-cases. What they lack is reliable AI that works on a busy Monday morning in a clinic the way it does on a benchmark in a sandbox.
Getting there means dealing with data spread across dozens of systems, EHR integration, privacy and compliance, and teams with no spare hours to babysit a new tool. The stakes are different here too, because a wrong answer in healthcare isn’t a bad chatbot reply, it’s a patient without an appointment or a condition without an approved treatment. The work of caring and curing has always rested on a simple promise, to help and to avoid harm, and we hold ourselves to the same standard.
Why Scale
Scale brings AI’s promise into reality. Its mission is reliable AI for the world’s most important decisions, and few matter more than the ones made in healthcare and life sciences. Scale already works with leading health systems on clinical operations.
AI is only as good as the data under it and the testing around it, so we build the evaluation first, with experts in the loop, and keep it running after launch. We build alongside our partners, inside their environment, through production, and we shape the solution around how people actually work so it gets adopted. That’s the difference between a pilot that impresses and a system people rely on.
Having spent my entire career in healthcare & life sciences, I know what it takes to be a good partner. Have a clear point of view, listen intently, have a sober build approach and build a team that delivers. Scale has the foundation, and now we build, with providers, payers, administrators, biopharma and life sciences companies, one focused problem at a time.
If you lead a healthcare organization or a life sciences company and you’re ready to move from pilot to production, let’s talk. I’d like to hear where your capacity is tightest and the need is greatest.
If you want to help transform the experience of giving and getting care, come join us, we’re always looking for exceptional people who are inquisitive, dedicated and passionate about our work. The people keeping healthcare and life sciences running have been stretching for years, and we want to build them the system they deserve.
