Evaluating a digital health product well requires three kinds of expertise: understanding
whether it works clinically, whether it fits the realities of how care is delivered, and
whether the economics behind it hold up. Most people in the industry know one or two of those
dimensions well. The gaps between them are often where promising products fail, and where bad
investments get made.
I've spent my career working across all three. I trained in emergency medicine at Emory and
practiced for nearly a decade in busy academic and community emergency departments. I later
completed formal training in biomedical informatics at Oregon Health & Science University
and moved into health technology full time, first optimizing Epic and Cerner across
multi-hospital systems, then leading clinical programs through the growth of Livongo and
Teladoc, and later building AI-powered care navigation at Transcarent. Today, I serve as
Associate Chief Medical Officer at Hippocratic AI, where I focus on the safety and validation
of patient-facing autonomous AI agents.
That experience gives me a practical lens on digital health from multiple angles. I can assess
whether a clinical claim will withstand scrutiny from a health system's medical staff; what a
product will actually do to a clinician's workflow on a busy afternoon; and whether the people
expected to use it realistically will. I can also evaluate the underlying economics: who
writes the check, who captures the savings, and whether those are the same party.
That last question is particularly important. A product can work exactly as designed and still
fail commercially because the organization paying for it isn't the one capturing most of the
value. When incentives don't align, the business model fails, regardless of how compelling the
clinical story may be.
I've also sat on both sides of the table: presenting to investors during a $700 million
acquisition and evaluating vendors on behalf of the health systems purchasing their products.
I work through Anoop Sangha Consulting LLC, a single-member practice. I
deliberately limit engagements so that each receives meaningful time, attention, and
involvement.