Abridge

Medical conversation AI that structures clinical dialogue into real-time summaries and documentation.

Abridge uses large language models trained on medical conversations to generate structured clinical notes from physician-patient interactions in real time. Integrated with major EHR systems, Abridge reduces documentation burden for clinical trial site staff, medical affairs teams, and pharmacovigilance case intake workflows.

Headquarters
Pittsburgh, United States
Founded
2018
Compliance
HIPAA, SOC 2 Type II
Deployment options
cloud
Website
https://abridge.com
LinkedIn
https://www.linkedin.com/company/abridgehq

Categories

AI Use Cases

  • Case Processing Automation
  • Clinical Data Management

Vendor Scorecard

100% — Complete coverage. Coverage score — how completely Atlas documents Abridge across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Documented

HIPAA, SOC 2 Type II

Deployment & Hosting — Documented

cloud

Pricing Transparency — Documented

SaaS subscription

Implementation & Onboarding — Documented

1–2 months

Organization & Role Fit — Documented

Large Pharma, Top 20 Pharma, CRO / CDMO, Academic / Research, Clinical Operations, Medical Affairs, Pharmacovigilance, Data Management

Solution Scope — Documented

Adverse Event Detection, Clinical Data Management, Natural Language Processing, Trial Protocol Optimization

Company Viability — Documented

Series E, $800M raised, 200+ employees, Founded 2018

Always ask the vendor

Not captured in Atlas data — confirm directly. Excluded from the score above.

Data Rights & IP

Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?

Model Credibility & Explainability

Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?

Evidence & Outcomes

Became Epic's first 'Pal', embedding generative AI documentation in Epic workflows

Abridge was named the first member of Epic's 'Pals' partnership program, integrating its generative-AI medical conversation summaries directly into Epic EHR workflows so health systems can adopt ambient documentation inside the tools clinicians already use.

press release (Abridge) · 2023-08-16 — Partner: Epic

Kaiser Permanente deployed Abridge ambient AI documentation across 40 hospitals

Kaiser Permanente rolled out Abridge's ambient AI clinical documentation technology across its integrated health system — 40 hospitals and more than 600 medical offices — letting clinicians generate draft visit notes from patient conversations instead of typing during encounters.

press release (Kaiser Permanente) · 2024-08-14 — Partner: Kaiser Permanente

Peer-reviewed JAMIA Open study reports lower clinician-reported documentation burden

A quality-improvement survey at the University of Kansas Medical Center, published in JAMIA Open, reported that clinicians using Abridge's ambient AI documentation self-reported lower perceived work burden and burnout and higher job satisfaction after implementation. Vendor-affiliated authors participated in the study.

peer reviewed (JAMIA Open (Oxford University Press)) · 2025-02-21

Questions to Ask This Vendor

  • Is the model trained on pharma-specific clinical trial site workflows?
  • How are audio recordings handled — stored, transcribed, or discarded after note generation?
  • What EHR systems are pre-integrated?