Our thesis at @AbridgeHQ has always been simple: the best technology in healthcare should help the technology disappear. This is our opportunity to use AI to actually rethink and redesign the system. Learn more here: abridge.com/vision?utm_sourc…

My first time caring for Veterans was at the VAMC in Ann Arbor. What began there became a weekly VA clinic for nearly eight years, first in Ann Arbor and later in Pittsburgh. What always stayed with me was how much Veterans had given in service and how little they asked for in return. At @AbridgeHQ, we’ve had the opportunity to improve the care delivery experience for many more Veterans than I could have ever seen as a doctor in a clinic. We’ve supported VA clinicians with cutting edge tools that help them spend less time staring at a computer screen and more time focusing on the Veteran in front of them. We started with a pilot deployment at 5 VA medical centers, which has since grown to more than 75 sites across the country. Now, Abridge has been selected to bring our clinician intelligence platform to Veteran care nationwide through the VA enterprise contract for ambient AI. As the VA undertakes one of the largest electronic medical record transitions in history, its clinicians remain committed to delivering exceptional care to Veterans. They deserve tools that ease documentation demands, create more space for connection during each encounter, and help preserve important details across visits and care teams. Abridge meets VA clinicians where they are, by being fully operational on both VistA/CPRS and the Federal EHR. This is the level of care that Veterans deserve and the VA's mission demands. It is our privilege to serve the needs of those who have served and the clinicians who care for them. abridge.com/press-release/va…

Only in SF: a cardiologist nerding out with @steipete in the wild. Now the real question: when do we get @openclaw for healthcare? 🦞🩺

One thing we’ve learned building @AbridgeHQ: shipping is just the start. The real work is measuring, maintaining, and improving AI over time. That’s where mid-training, post-training, and evals come in. To us, that’s what being AI-native means. Excited to open up, and start a new set of conversations. Read more here: tech.abridge.com/blog

“In the world of AI, you don’t want to solve the easy problem. You want to solve the hard problem.” — San Oo, CTO, Abridge Oo sat down with CTO Uncovered to talk about the challenges of engineering in a high-stakes industry where “uptime, reliability, and security are non-negotiable.” Learn more about how Oo approaches building an enterprise-grade clinician intelligence platform in this profile: ctouncovered.com/p/san-oo-ab… 🎥 via CTO Uncovered

Over the last several years, the work of healthcare has become harder to hold in any one human’s head. There is more patient data to review, more medical literature to absorb, more plan information to reconcile, and more administrative context for any given clinician to carry. That’s why today, I’m privileged to announce that we are making our context-aware clinical intelligence and our decision support available to every clinician across all 300+ health system partners that @AbridgeHQ serves, regardless of how they document visits today. abridge.com/press-release/co…

from one of our customers @nyulangone: "we look at Abridge's pace of development historically and beyond, we realize that this is the right company for us to move forward with" can confirm: worked in health tech my whole career and have never moved this fast. very exciting and fortunate to have partners that are moving fast with us.

As a clinician, I want to walk into the room understanding the whole patient. For years, that meant spending Sunday nights combing through charts before clinic, reconstructing complex histories and trying to anticipate every care gap. That work matters, but no clinician can do it comprehensively for every patient by hand. Care Signals, built in close partnership with Kaiser Permanente, brings the relevant clinical evidence into the encounter, follows what is addressed, and helps ensure the medical record reflects the care that actually happened. The clinician stays in control, and the technology stays in the background. That is how risk adjustment should work: as a byproduct of better clinical care, not a parallel administrative workflow. Grateful to Kaiser Permanente for months of rigorous, candid partnership in building this the right way with us at @AbridgeHQ. beckershospitalreview.com/he…

Abridge gives clinicians “a team of assistants, of agents” working behind the scenes so they can focus on delivering care. The result: two to three hours back each day and more of every visit spent focused on the patient. @ShivdevRao on The Upstarts Podcast with @alexrkonrad.

Open source can make healthcare AI more trustworthy, adaptable, and affordable - its already giving clinicians time back, improving experiences, and improving patient outcomes. This is part of how we save time, money, and lives. 🫡 @JensenHuang

Upstarts subscribers got my show notes, including top takeaways for startup builders, in their inboxes this AM. You can read those highlights for free here 👇 upstartsmedia.com/p/podcast-…

"All companies need to have one strong idea that they hold tightly to and that's the North Star." says @AbridgeHQ CEO @ShivdevRao. "Otherwise, you get blown in so many different directions." His North Star? Trust. This season is presented by @Rippling.

Doctors are burned out. Patients don’t understand the advice they’re given. And the U.S. healthcare system is drowning each year in $1.5 trillion – with a “T” – in administrative costs. Abridge CEO Shiv Rao (@ShivdevRao) thinks he can help. A practicing cardiologist who still sees patients, he co-founded @AbridgeHQ in Pittsburgh in 2018 to build the “AI operating system” for healthcare. Abridge's software automates the clerical work of a visit, from notes to billing, and increasingly assists with making clinical recommendations, too. "We think healthcare is the biggest opportunity for AI," Rao says. "We want to be deflationary, we want to save time, save money, and save lives." Valued at $5.3B, Abridge serves more than 300 health systems that reach 250M Americans, and recently partnered with @EliLillyandCo and @nvidia. But it faces plenty of potential competition, from giants like Microsoft, Epic Systems, and Palantir, to VC-backed rival Ambience, and maybe even the AI labs. On The Upstarts Podcast, Rao talks about how an early bet on AI got Abridge going, before ChatGPT; why reaching scale in healthcare requires years of “eating glass” and “kissing frogs;” and why he thinks Abridge can help doctors and nurses feel like “superheroes.” Plus, he shares his Upstart Moment: A “YOLO” decision to take on Microsoft head-to-head. This season is presented by @Rippling. CHAPTERS 00:00 Introduction 02:16 What Abridge does for doctors, patients and hospitals 06:39 Solving the ‘conversation’ problem 10:45 From doctor to startup founder 18:48 “Eating glass” and “kissing frogs” early on 20:14 What IBM Watson got wrong 23:25 Why healthcare is a hard sell for startups 31:39 A “YOLO move” to go after Microsoft 37:42 Dealing with increasing competition 40:29 Working with NVIDIA, Anthropic and OpenAI 43:26 Shiv’s personal healthcare journey

Enjoyed this conversation with @ScribbleVC. A little bit of medicine. A little bit of music. A little bit of skateboarding. Mostly, a conversation about building. Thanks for having me. piped.video/9izBbAMaYok?is=91QC…

This weekend, Austin Schoeffler and I spent some time on one of the harder problems in US healthcare at the @AbridgeHQ x @AnthropicAI x @lightspeedvp hackathon: ED boarding. Boarding is the gap after a patient is admitted but before an inpatient bed opens up, one in six admitted ED patients waits 4+ hours. In that gap, the patient sits in the ED while two teams split responsibility and new data keeps arriving, each assuming the other has it. It isn't benign: in-hospital mortality runs ~80% higher past 12 hours of boarding, and long boards cost an estimated $0.9 - 1.3B a year. So we built BoardX, a team of supervised agents that keeps a boarding patient's story current, surfaces what matters against the admission plan, and help the team close the loop. We were lucky to place in the top 6 out of 115 projects and 900 applicants! Congratulations to all the teams and thanks to Chase Yarbrough, @mnedoszytko, @ShivdevRao, @GalymImanbayev, @pmaederyork for putting on such an exciting event!

@UCSFGIfellows had a strong showing at the @AbridgeHQ @AnthropicAI @lightspeedvp @cerebral_valley future of agentic AI in healthcare hackathon. Although we did not win, we brought a unified platform vision with four complementary products/teams.

Great day at the Abridge hackathon. Built, learned, and met an incredible community of builders working on AI for healthcare. Excited to see how AI continues to reshape healthcare! @AbridgeHQ @AnthropicAI @lightspeedvp #HealthcareAI #AI #Hackathon #AgenticAI #Builders #LLMs #GenerativeAI

An honor to participate in the “Future of Agentic AI in Healthcare” hackathon by @AbridgeHQ @AnthropicAI @lightspeedvp. It was inspiring to meet so many builders working on innovative ways to improve healthcare. @ShivdevRao @mnedoszytko

The best thing happening in healthcare AI right now is how much the industry is choosing to build together. Proud to co-host our first @AbridgeHQ hackathon with @AnthropicAI , @lightspeedvp , and @cerebral_valley . This is what positive-sum looks like. cerebralvalley.ai/e/abridge-…

3 ai product roles at @a16z-backed infinite healthcare startups: 1. counsel health [series a] — sr product manager, consumer 2. prosper ai [series a] — ai product manager 3. abridge [series e] — product lead, ai/ml dm for intros @CounselHealth @ProsperAI_HQ @AbridgeHQ