Abridge
Generative AI for clinical conversations — turning patient encounters into accurate documentation
Enterprise·All audiences·Powered by OpenAI (GPT-5.5 and frontier models referenced)·API available
Key strengths
Best in KLAS 2025 & 2026 ambient AI market leaderReal-time ambient clinical documentation across 40+ specialtiesHallucination elimination via Contextual Reasoning EngineTrusted by 300+ health systems including Kaiser Permanente, Johns Hopkins, and Mayo ClinicSupports 28 languages with 95% user retention rates
Enterprise pricing
Pittsburgh, USA
Founded 2018
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- EHR-integrated ambient documentation — Deploy Abridge's API and ambient layer inside Epic or other EHR systems so note drafts appear directly in the clinician's workflow post-encounter.
- Automated revenue cycle coding — Leverage Abridge's post-visit intelligence to extract HCC diagnoses, increase coding specificity, and drive wRVU improvements (e.g., 14% increase at Riverside Health).
- Multi-specialty NLP deployment — Roll out the platform across 40+ specialties with specialty-aware documentation templates and structured outputs tailored per care setting.
- AI model evaluation & benchmarking — Use Abridge's published rubric-based clinical quality evaluation framework to benchmark LLM upgrades (e.g., GPT-4 → GPT-5.5) on confabulation rates and documentation accuracy.
- Nursing ambient documentation — Integrate the nursing-specific module to convert bedside conversations into draft nursing notes using OpenAI's frontier models, as deployed at Mayo Clinic.
- Clinical decision support injection — Surface NEJM and JAMA evidence in real time during encounters via the contextual reasoning layer, enabling evidence-based prompts without interrupting the patient conversation.