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I've been on stage plenty of times. Pitches, demos, panels, classrooms.

I've been on stage plenty of times. Pitches, demos, panels, classrooms. But last month, at the Ichelon Consulting Services Pvt. Ltd. AI in Healthcare conference It was the first...

2 min readEntrepreneurship

I've been on stage plenty of times. Pitches, demos, panels, classrooms.

But last month, at the Ichelon Consulting Services Pvt. Ltd. AI in Healthcare conference - It was the first time I was on stage with other healthcare professionals. Doctors. Founders running clinical companies in dermatology, plastic surgery, a couple of other verticals.

And me, the only non-doctor in the lineup, talking about mental health.

I went in expecting to feel like the odd one out.I didn't. Not even a little.

It was the most collaborative panel I've been part of. We were all building inside healthcare, all running into the same set of problems, all trying to figure out where AI actually helps and where it shouldn't go anywhere near the patient.

Two things stood out from that conversation.

The first is that AI use cases in healthcare are way more transferable than I expected. The shape of the problem is the same almost everywhere.

Capture the right context, surface what matters to the clinician, free up time so they can do what only humans can do. The vertical changes. The pattern doesn't.

The second was unexpected. Psychoeducation, which I'd always thought of as a mental-health-specific thing, came up in every single conversation.

There is a lot of anxiety in the entire healthcare process for a patient.

It's felt in the waiting rooms of hospitals and clinics. Inside the consultations, when people are being given facts, and options about their health. When surgeries are being explained, and the entire process of going through surgery. And even after.

This is a very interesting space where mental health service providers can be helpful for the entire healthcare industry.

I also did a keynote on the future of mental health and AI. Pitching to this audience was a different kind of fun. Healthcare is usually slow to adopt anything, and AI in healthcare even slower. But this room was past the question of whether. They were asking how, and how fast.

AI in healthcare is only worth building if it lets us reach more people without trading away the experience for them or the sustainability for the clinicians caring for them.