Abridge

We’re thrilled to be featured on the Forbes AI 50, alongside companies that inspire us like OpenAI, Anthropic, Databricks, and others. It’s a special privilege to represent the impact of AI in healthcare, improving the care delivery experience at scale for both clinicians and patients. Grateful to Forbes for this acknowledgment, and to the health systems we work with for their partnership. Check out the full list: https://bit.ly/3UczoxY #ForbesAI50

🚀 Join us for a panel discussion at the AHA Leadership Summit! 🚀 📅 Date: 7/21 🕒 Time: 3:45 PM 📍 Location: Harbor D 💬 Session: Revolutionizing Care Through Patient-Centric Digital Innovations Unprecedented advancements, technology, and digitization are shaping the future of healthcare delivery. Join us for a panel discussion on revolutionizing healthcare through patient-centric digital innovations. Our CEO & Founder, Shivdev Rao MD, and other expert panelists will share strategies for scaling telehealth operations, embracing digital innovation, and leveraging AI responsibly to improve the consumer experience. This is a must-attend session for anyone interested in improving outcomes for vulnerable populations and benefiting patients in real-time. 🎤 Panelists: •Lindsey Dunn Burgstahler, Vice President, Programming and Intelligence, American Hospital Association •Richard Milani, Chief Clinical Innovation Officer, Sutter Health •Shivdev Rao, Chief Executive Officer, Abridge •Sherene Schlegel, Chief Operations and Nursing Officer, Virtual Care and Digital Health, Providence •Chris Waugh, Chief Innovation Officer, Sutter Health Don't miss out on this opportunity to gain valuable insights and best practices on implementing patient-centric approaches and shaping a healthier, more equitable future in health care! 🏥✨

🌟 Clinician Spotlight: Dr. Bobby Sasson, MD, MPH at UCI Health 🩺 "I've been using Abridge for a month now, and it's been a game-changer. Abridge significantly reduces my documentation time. I no longer worry about charts or making my notes sound good—Abridge does all that. It also reduces my mental effort, allowing me to focus more on my patients. It's there when I'm tired, and as someone who is detail-oriented, it ensures my notes are substantive and thorough. The History of Present Illness (HPI), Assessment & Plan (A&P), and Patient Visit Summary (PVS) sections have truly transformed my practice. HPI and A&P: As a PCP, we do a lot of small talk, and Abridge helps by capturing the salient information shared with me, organizing it in a readable way, and telling the patient's story beautifully. PVS: This feature is fantastic! It defines the plan nicely for the patient, which is helpful because my freestyle attempts are usually limited and bulleted. A colleague suggested I try Abridge, and I'm so glad I did. It's a game-changer, and I'd recommend it to any of my peers. My patients benefit too because they receive a detailed summary afterward, so they don't need to take notes."

We're honored to be considered to pilot a program with the VA health system. Together, we can fulfill the vision to streamline clinical documentation, building from our selection as a VA AI Tech Sprint winner!

Sean Maloney, MD, Family Medicine Physician at The University of Vermont Health Network, shares what amazes him about Abridge. Read the full case study to learn more: https://lnkd.in/dyPZi7NC

We're honored to win Best Enterprise Implementation of Generative AI (Health) at VentureBeat's 6th Annual AI Innovation Awards! 🏆 “Every day, we hear from doctors who are able to get home earlier, take lunch breaks for the first time in 10 years, and spend time with their families in the evening," said our CTO/CSO Zachary Lipton. “We’re saving doctors hours per day, and we’re just getting started." 🚀 (📸: Christopher C. Lee/Photomochi Studio)

Alicia Jacobs, MD, Family Medicine Physician at The University of Vermont Health Network, shares her experiences with Abridge. Read this case study to learn more: https://lnkd.in/dyPZi7NC

🚀 Case Study: The University of Vermont Health Network improves professional fulfillment by 53% To improve clinician well-being and streamline documentation, UVM Health Network evaluated multiple ambient documentation solutions. Following a robust vetting process with 50 primary care providers, UVM Health Network decided to roll out Abridge enterprise-wide, and here are the results: •53% increase in professional fulfillment •60% decrease in after-hours work in notes •51% decrease in cognitive load Read the full case study here: https://lnkd.in/dyPZi7NC

📣 We are beyond excited to announce a new enterprise-wide agreement with The University of Vermont Health Network, an integrated academic medical center that serves over 1 million people across Vermont and northern New York. "Abridge has delivered spectacular results for our physicians and improved the patient experience. We’ve eagerly awaited this day, and there’s no turning back. The superior quality of Abridge’s AI-generated note drafts made them the obvious choice by our Digital and Remote Health Committee for ambient documentation.” —Dr. Jason Sanders, CEO and President of the UVM Health Network Medical Group Learn more about our partnership: https://lnkd.in/e-W7Rtii

🌐 We loved presenting at the Out-Of-Pocket Gen AI x Healthcare Ops Hackathon. Our very own Davis Liang, Staff Machine Learning Scientist, demoed Abridge and spoke about the importance of multilinguality in health tech. 🗣️ Did you know? •Over 350 languages are spoken in the United States. •20% of Americans speak two or more languages. •More than 11% of patients in California-licensed hospitals prefer to speak Spanish (CA Dept. Healthcare Access to Information, 2021). Yet, multilingual performance remains a significant challenge today, even for state-of-the-art models like GPT-4 (The Belebele Benchmark. Bandarkar et al. ACL 2024). Tokenizations are often biased towards English, making it more expensive and less efficient for languages like Arabic, Hindi, and Chinese. Davis also discussed ways we can start tackling this issue: •Leverage both English and non-English data for training. •Consider up-weighted sampling of important languages during training. •Increase rank for parameter efficient fine-tuning on multilingual data. •Construct intelligent multilingual vocabularies (XLM-V. Liang et al. EMNLP 2023). At Abridge, we care deeply about multilingual performance. Our speech recognition is tuned to handle medical conversations across 14+ languages, coping with cross-talk, background noise, and an evolving landscape of maladies, medications, and practice patterns. Learn more about our AI here: https://www.abridge.com/ai