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ageyfman

238 カルマ登録 15 年前
healthcare startup, again

コメント

ageyfman
·8 時間前·議論
not my experience with a tuned prompt - using fathom
ageyfman
·7 日前·議論
medical appointments is a perfect use case for ai note takers. Imagine you have an elderly parent who lives hundreds of miles away. You can't always be present for their medical appointments, yet, the outcomes of those appointments are critical, and sometimes information is shared in a way that the elderly parent cannot be a trustworthy source for that info. What do you do?
ageyfman
·11 か月前·議論
the product was commercial analytics for healthcare sales teams. We worked with our customers (medical device & biotech commercial teams) to define granular patient cohorts (patients with a specific disease and specific pattern of treatment) and then analyzed provider (doctor / facility) interactions with those patients.

One onboarding problem was always - here's what I know about the doctors / facilities I care about, help me understand what I don't know. Well, what they knew was usually in a CRM, with very poor hygiene, or some ERP - dat assembled by hundreds of sales and ops people over years, sometimes decades. So generally the first step for us was to do an MDM exercise to join their data to ours.

This had a huge pay-off for both parties. For us we were able to make our product much more useful to them. For them, they now had a map of their territory they could use across multiple business units, multiple therapeutic areas (these usually operate independently and sometimes sell to the same buyers!)

I'm seeing the same opportunity/challenge in my new company, but this time focusing on the supply chain of these companies.
ageyfman
·11 か月前·議論
this is a big issue in healthcare, a chunk of my last company's revenue was doing MDM for large medtechs.
ageyfman
·12 か月前·議論
they have to say this to safe face. people who're interviewing most of the time can't even tell if it's a 50% engineer