Nikhil Krishnan

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Nikhil Krishnan

Nikhil Krishnan

@nikillinit

Thinkboi the only funny + non-jargon healthcare newsletter: https://t.co/61zgESgkhw learn healthcare quickly with crash courses: https://t.co/C6cWc5YHK7

New York Katılım Eylül 2013
1.1K Takip Edilen64.6K Takipçiler
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
a lot of horizontal companies are very attracted to healthcare because it's a huge market and a lot of tedious work - but most struggle because they don't understand how the industry actually works excited to announce healthcare 101 is back 7/13 - 7/24 (virtually)! I will teach you all of the different weird incentives and players in the space, which took me 10 years to figure out You will be able to answer questions like - "why don't practices pay for anything" - "what does health insurance care about" - "why don't people get paid for making patients healthy" - "why are there so many acronyms for everything jesus christ" You can sign up in the comments, you will be enlightened
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
These drake albums might be the first case of audio terrorism
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
maybe I’m a boomer in tech, but when someone highlights how young they are in their accomplishments it’s a counter signal and dilutes the actual accomplishment
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
@FiSurgi I guess I’m trying to figure out what I should take away from this - that people shouldn’t try projects like this? That there’s a big gap between the demo and reality which we already know?
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SurgiFi
SurgiFi@FiSurgi·
@nikillinit I am well aware of what a hack-a-thon is. My point is it's easy to simulate this stuff. I've been around a long time. Most of this stuff doesn't work in reality. Unless you've done EFFECTIVE CPR in real life you won't understand.
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
People built crazy things at our healthcare wearableshackathon. Some examples: Lazarus - A copilot for CPR Real-time voice and haptic guidance during CPR using the Samsung Watch accelerometer, with AI-powered session analysis on your phone
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
@FiSurgi i have not - also keep in mind that this is a hackathon, it's not meant to go into the real-world yet :)
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
SteadyStep - Fall risk detection via Meta Raybans Meta Ray-Ban glasses stream first-person video to a system that reconstructs the home in 3D and identifies hazards like rugs, cords, low tables, loose grab bars, and poor lighting in real time. Claude then vets each detection against the scene to ensure accuracy before issuing live auditory warnings to the wearer. In parallel, a Samsung Galaxy Watch captures accelerometer data to compute clinical gait metrics, allowing us to pinpoint where environmental hazards overlap with the wearer’s highest instability.
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
I realize that people don't get what Out-Of-Pocket does so let me just spell it out clearly We're trying to make it easier for people to learn how to build in healthcare. There are a few different pillars around this: 1) Content - I write the absolute heater of a newsletter, which you are missing out on if you aren't signed up. We also do courses and workshops. I teach the Healthcare 101 course, and we work with sponsor partners on courses that THEY are experts in. We do onsite workshops to teach companies about everything from Claims 101, how to use AI for work in healthcare, etc. 2) Events - We are making a big push into events. We do hackathons for people to come build crazy ideas. We run workshop-based conferences like Data Camp, Knowledgefest, and our new healthcare software conference Ship It. This is where peers teach each other different things they've been learning and experimenting with at at their companies. 3) Communities - We run an online slack group you have to apply to get in with assignments, retreat, etc. And we run healthcare coworking spaces in NY, Boston, and SF where people actually work next to other builders and learn by osmosis. Is that confusing???? idk yeah probably, you can see all of it on the site
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
I don’t think you can retrofit some KPIs to incentivize AI adoption at a company to be “AI-native”. We’re already seeing this with things like tokenmaxxing. The advantage AI-native company actually have is hiring people that are innately curious about the tools, play around with them, and only deploy the ones that actually help.
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E.S.
E.S.@iseethepacific·
@nikillinit my understanding is VSP is both my insurance… and the owner of the 👁️ shops (visionworks, etc) I take my insurance too and get a “discount” at. It seems like I’m basically buying a vision-subscription, branded as “insurance”.
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
Dental and vision insurance are pretty obviously bad deals - even the employers know when I ask brokers, the consensus answer seems to be "it's cheap for the employer to offer and having it gives the perception of good benefits to employees"
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
Happy to share the first wave of Healthcare Hardware hackathon projects from the Out-Of-Pocket hackathon last month! TXA – Trauma Transfer Agent — An offline-first handoff tool that turns field assessments from Meta glasses, Omi, Oura, and Samsung Watch into a structured EHR-ready report the moment connectivity returns. Lazarus – A copilot for CPR — A Samsung Watch app that coaches you through live CPR with real-time haptic + voice feedback on rate and depth, then debriefs you with Claude. Tamago – Checking in on new moms — Uses Oura + Omi to monitor postpartum recovery and quietly route alerts to a mom's support circle instead of overwhelming her. SteadyStep – Fall risk detection — Meta Ray-Bans scan a home in 3D for fall hazards while a Galaxy Watch tracks gait, producing a ranked hazard map you can share with a PT or family member. Eternal – One monitoring device for all ages — An open-source edge-computing hub (built on Ubo Pod) that adapts across life stages, from infant apnea monitoring to elder fall detection, all processed locally. Hospitality Helper – Making the waiting room better — Fuses wearable and ambient signals from patients and staff into a live predicted NPS score, nudging the right staffer before a visit goes sideways.
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Nikhil Krishnan
Nikhil Krishnan@nikillinit·
in retrospect it was a mistake to both concentrate my career in healthcare AND my investing in healthcare
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