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Abridge health12/14/2023 ![]() They do have a lot of cool papers (all peer-reviewed! whee) if you want to see under the hood how their ML works on individual tasks, all of which together power the general Abridge models. ![]() Just like microwaves (don’t lie you don’t get how they work either). It creates a great experience for the user without needing to fully understand the underlying process. But even if you don’t get it, Abridge can point to evidence in the raw conversation for any given AI-generated summary so you can see where it comes from. I’m not smart enough to understand how it works. They told me how they got it but I ain’t no snitch (some hints later on…). The secret sauce to Abridge is in its machine learning models – Abridge is powered by a proprietary dataset derived from more than 1.5 million medical encounters. 1% of time they’re looking into the abyss. Here’s a kind of nutty paper which tracked eye gazes from patients and doctors in 100 primary care visits and found that doctors looked at patients 46.5% of the time and their EHRs 30.7% of the time. This can make the doctor seem distracted and make patients feel unheard. The visit becomes focused on documenting, so doctors spend a lot of time looking at EHRs while simultaneously verbally communicating with the patient.This is one of the reasons EMR data sucks – there’s a lot of data loss that happens between the visit and the documentation. Then we try to manipulate it for other uses like continuity of care, real-world evidence, etc. EMR documentation is meant for billing so it focuses on capturing the details meant for billing.You can tell me whatever you want, just know I’m going to be sending you a M圜hart message later to double check. at a time when they might be overwhelmed by a new diagnosis or aren’t feeling well. Not only doctors, but patients need to remember a lot of the details from a visit around next steps, what to avoid, etc.You’re discharged from the hospital after a diagnosis you weren’t expecting, and in your shell shocked state you’re given a bunch of instructions on meds to take or next steps.And at the end of the day (or later that week) they’ll finish their notes while trying to recall the details of the conversation – either from that chicken scratch or from memory. During the visit they may jot down some notes as you’re talking or they may not take any notes at all. You have a visit with your doctor where you tell them what’s wrong.Today, the way important information in healthcare gets disseminated is usually through a conversation and then the gist is summarized into a document later. They’ve since raised $27.5M from Union Square Ventures, Bessemer Venture Partners, Wittington Ventures, Pillar Venture Capital, UPMC Enterprises, Yoshua Bengio, and Whistler Capital. Shiv Rao after Shiv got carpal tunnel writing a discharge note and screamed “never again” to the Heavens. Long form until I die!!!! Also where’s the “health” in the name? Someone tell me if it’s legal to have a healthcare startup without health in the name, seems wrong.Ībridge was started by Dr. The company is named after what readers wish I would do with this newsletter but I NEVER will. If you’re interested in having a sponsored post done, email Name - AbridgeĪbridge is building machine learning centered technology and workflows that turn conversations into structured documentation for providers and patients. This is a sponsored post - you can read more about my rules/thoughts on sponsored posts here. (The doctor solution is very different from the consumer app. If you’re an individual clinician, Abridge is giving the first 20 OOP readers a free month to give it a run. If you’re an enterprise looking for a way to document and structure information from medical conversations, contact Abridge and they’ll talk to you about the different ways they can help your business. They’ll have to overcome competition, hesitance in recording, and the last mile transcription problem to be successful. Their AI transforms conversations in different ways, whether it’s clinically useful and billable documentation for doctors, structured data and analytics for coding and risk assessment, or a digestible care plan for patients. Abridge structures and summarizes doctor-patient visits from ambient conversations.
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