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SmarterDx | 150-250k+ + equity + benefits | Remote (US only) | Multiple roles | https://smarterdx.com/careers

We build clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, our proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. The current team is very high functioning (MD + data scientist combos, former ASF board member, Google and Amazon engineers, Stanford LLM researchers, etc.) and initially scaled the company to $1MM+ in contracted revenue without raising capital.

We have been backed by top investors including Floodgate (Lyft, Twitch, Twitter), Transformation Capital, and Bessemer for a total of $71mil, including our $50mil Series B announced in May 2024, and are experiencing an incredible growth trajectory customer and revenue wise with no signs of slowing down! This time last year, we were at 55 employees, and are above 175 as of today!

We are looking for: Staff and Senior SWEs, Full Stack and Backend focused - Data Scientists - ML Research Scientists - More!

We have PMF, and it's time to scale! For more and to apply, see https://smarterdx.com/careers




It’s a bit sad that there’s nothing in this post about actually wanting to improve patient care, but instead make money for hospitals and “enhance metrics.”


It's called upcoding. It's been happening with or without AI or SV's help for well over 40 years. [0]

Interestingly, whistleblowers can recoup a big chunk of the recovered funds in a False Claims Act suit when medical providers do this to defraud Medicaid / Medicare [1]. Could be a lucrative long-term play if you get employed at a company whose sole purpose is helping hospital chains bill for care that an AI thinks may have been provided.

[0] https://pmc.ncbi.nlm.nih.gov/articles/PMC10759668/ [1] https://en.wikipedia.org/wiki/False_Claims_Act_of_1863


American healthcare in a nutshell. All of these startups in the healthcare industry focusing on "upcoding", "dealing with insurance" would go bust if private health insurance no longer existed or at least existed in a much much smaller role.


I can relate to this reaction for a variety of startups. I still am interested in working for these light mission or neutral mission startups, rather than crypto or something empty, but I wish we had a lot of deep mission startups to choose from. I blame the diluted mission problem on VC + hypergrowth. If more startups could focus on less aggressive capital and growth goals and let the founders dream more, I think we would all be more excited.


Our models don't only suggest up-coding possibilities, but also chart quality improvements! As a result, patient's charts become more accurate, allowing for potentially better patient care in subsequent visits.

Also, the hospitals being able to bill more accurately allows them to have more resources to invest in patient care, and when you consider that a lot of hospitals operate on 1-3% profit margins while health insurance companies operate on a sometimes exponentially higher %, it's actually one of my favorite aspects of what we're building here.

To each their own though ¯\_(ツ)_/¯


I wish you just never replied, this explanation somehow makes me feel even worse :(


Mind if I ask a very non-defensive "how come"? The logic in the comment you're responding to is legitimately the way I think about one of the impacts our products have re: patients.


"allows them to have more resources to invest in patient care" LOL


lmao even




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