PITTSBURGH & SAN FRANCISCO--(BUSINESS WIRE)--Abridge is launching the first clinical research collaborative dedicated to studying the impact of ambient AI across five key focus areas: clinician experience, patient experience, healthcare costs, outcomes, and health equity. This independent research effort will bring together experts across academia, professional well-being, informatics, health operations, and policy. The goal is to provide evidence-driven guidance on the use of ambient AI as it becomes ubiquitous in clinical settings.
The Abridge Research Collaborative's (ARC) inaugural steering committee co-chairs are Dr. Tina Shah, Chief Clinical Officer of Abridge, and Dr. Lee Schwamm, Chief Digital Health Officer of Yale New Haven Health System. They will lead a committee of experts and industry leaders:
- Vineet Arora, MD, Dean for Medical Education, The University of Chicago Pritzker School of Medicine
- Jackie Gerhart, MD, Chief Medical Officer, Epic*
- Mary Greene, MD, former Director of CMS Office of Burden Reduction and Health Informatics
- Bruce Ovbiagele, MD, Associate Dean at University of California San Francisco and Chief of Staff at San Francisco VA Health Care System
- Tait Shanafelt, MD, Chief Wellness Officer of Stanford Medicine and Associate Dean at Stanford School of Medicine
“Our aim is to engage the broader research community to ethically harness de-identified clinical conversation data for medical insight and fundamental care delivery change,” said Dr. Shah. “As health systems rapidly adopt AI, rigorous research proving safety and efficacy should be a requirement for any marketplace solutions.”
“ARC is positioned to be an accelerator for research efforts with the potential to deliver transformative breakthroughs in healthcare,” said Dr. Schwamm. “Deeper understanding of the structure and content of medical conversations will generate fresh insights into the patient journey that may ultimately lead to improved health outcomes.”
Over the next several months, the ARC steering committee will engage additional expertise to establish the research agenda for this new technology frontier. Concurrently, ARC will engage the nation’s top scientists to expedite research to inform patients, clinicians, health systems, AI developers, educators, and policy makers on the unparalleled insights from this new type of data and how best to use ambient AI to improve the quality of care and workforce development.
“ARC brings together an impressive group of healthcare leaders with a breadth of expertise across the industry,” said Dr. Shiv Rao, CEO and Founder of Abridge. “We must ensure safe and responsible deployment of AI in our health systems and communities and, by quantifying impact, we unlock vast potential to improve care and generate future breakthroughs.”
About Abridge
Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. The AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. With support for 14+ languages and 50+ specialties, Abridge is able to support a wide range of clinician and patient encounters.
Abridge’s enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time with deep EMR integrations. Powered by Linked Evidence and their auditable AI, Abridge is the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, Abridge is setting the industry standards for the responsible deployment of AI across health systems.
In a survey by KLAS across multiple systems that have adopted the platform, Abridge scored a 95.3 rating (out of 100) with a grade of A+ on the likelihood to recommend and time to outcomes being reported as immediate. Abridge was also recently recognized on the 2024 Forbes AI 50 list, alongside companies like OpenAI, Anthropic, Databricks, and others.
*Epic is a registered trademark of Epic Systems Corporation.
