Abridge

Abridge is a market-leading enterprise generative AI platform built to capture ambient conversations between clinicians and patients and instantly structure them into precise, billable medical documentation. By operating quietly in the background during medical visits, it frees healthcare professionals from staring at laptop monitors or manually typing notes during an exam. The system processes conversations in 28+ languages and across more than 55 medical specialties, dramatically cutting document-writing time and reducing clinical burnout.

One of the most persistent issues with AI in high-stakes healthcare environments is the risk of "hallucinations" or missing details. Abridge directly addresses this with its unique Linked Evidence framework. Every section, symptom, or diagnosis generated in the final clinical summary is textually mapped back to the exact timestamped part of the transcript and audio recording. A doctor reviewing the draft can simply click on a summary line to instantly listen to or read the exact moment of the patient encounter that informed that detail, enabling quick, airtight verification without needing to re-listen to the entire visit.

Rather than forcing doctors to adopt a separate web portal or manually copy-paste text, Abridge acts as a deeply embedded infrastructure layer inside major Electronic Health Record (EHR) systems—most notably featuring native write-back APIs for Epic, Oracle Health (Cerner), and athenahealth. Clinicians open the patient's chart within their standard EHR app on mobile or desktop, trigger the ambient mic, and watch the note automatically populate the correct chart fields, flowsheets, and Assessment & Plan (A&P) sections.

Abridge expanded far beyond a simple "ambient scribe" to become a comprehensive clinical intelligence layer, powered heavily by models like OpenAI's GPT-5.5 alongside a key 2026 co-development partnership with NVIDIA to build highly specialized, clinical-first reasoning models. Major updates include:

Clinical Decision Support: Dynamically surfaces trusted, peer-reviewed medical evidence (partnering with NEJM and JAMA) contextualized in real time to the live discussion.

Abridge for Nurses: Ambiently captures nurse-patient bedside conversations during shifts to automatically chart verbalized findings, interventions, and patient education.

Note Personalization: Allows clinicians to save natural-language prompt instructions (e.g., "always use bullet points for headers") to dynamically tailor future outputs.

Care Signals & Clinical Trial Matching: Cross-references patient histories in real time to flag risk gaps or instantly surface eligible clinical trial opportunities during the