Abridge is enterprise software for clinical conversations. The homepage says one intelligence layer connects health systems, payers, and life sciences, and that it is trusted by 300+ health systems. Clinician, revenue-cycle, and nursing pages split the work into a draft note, codes traced to the talk, and flowsheet rows.
Official website · www.abridge.com
Abridge fits a health system that wants the note started from the conversation and still reviewed before signature. The clinician page says the specialty-specific note is ready when the visit ends, and the nursing page says flowsheet rows stay drafts until a nurse verifies them. Budgeting needs a quote from the vendor. The materials reviewed here show Contact Us and Log In.
Abridge works in three stages around the visit. Before the visit it pulls together patient history, prior visits, and relevant context. During the visit it captures the conversation in real time, surfaces clinical decision support, identifies care gaps, and supports orders. After the visit it prepares notes, coding specificity, orders, and patient summaries for review, billing, and follow-up. A specialty-specific note is ready for review when the visit ends, and editing tools adapt to clinician preferences. Clinical context can come from UpToDate, the New England Journal of Medicine, and JAMA. Abridge says it is used in over 40 specialties and trusted by 300+ health systems. The same materials cover health systems, payers, and life sciences.
Official documentationThe revenue page says traditional coding starts after the chart closes, and Abridge starts in the room. Every code and diagnosis is grounded in the clinical encounter so the record is ready for billing before the clinician leaves. Products deploy inside the existing EHR. Outputs land in diagnosis lists and billing workflows without a new portal. With Abridge ICD-10 and HCC codes surface in real time, E&M level calculates automatically, and visit diagnoses push back to the medical record before the note is signed. During the encounter, conditions are checked against MEAT criteria. Before the visit, Care Signals surfaces chronic conditions from payer files and EHR history. For inpatient stays, the page says CDI specificity is written into the note, with context carried from the emergency department, nursing assessments, labs, imaging, and hospitalist encounters.
Official documentationNursing documentation starts from the conversation rather than dictation, and the draft lands in Epic. Natural nurse-patient conversations generate draft flowsheet rows for review before anything hits the chart. Nurses can trace a row back to the source conversation. Abridge calls that trace Linked Sources. Context can move across shifts, and capture works across devices and in-room setups. Nurses review and verify the draft. Vendor figures on the nursing page include 27 minutes saved per nurse per shift and 61% reported reduced cognitive load. KLAS is cited as highlighting Abridge in a nursing AI report based on health-system deployments. Those figures are the vendor's.
Official documentationClinician and nursing pages list the same enterprise controls: single sign-on, encrypted data, a secure cloud, and custom governance. Data is protected with 256-bit encryption in transit and at rest, and stored in U.S. based centers. The nursing page says to rely on HIPAA-compliant, enterprise-grade security, and that usage can be tracked across the health system. New access is Contact Us. People who already have an account use Log In. Vendor figures include 100M+ conversations a year, an 86% documentation-effort line for Reid Health, and a 25% relative increase tied to OpenAI’s GPT-5.5.
Official documentationBefore the patient arrives, use the surfaced history and open care gaps. During the talk, leave documentation and order capture in the background. When the visit ends, review the specialty-specific note before anyone signs it. Editing tools adapt to clinician preferences and are meant to cut after-hours writing.
Care Signals flags chronic conditions before the visit. During the talk, ICD-10 and HCC codes and an E&M level are surfaced, and conditions are checked against MEAT criteria. Visit diagnoses are pushed before signature. Do not treat that push as a paid claim. The revenue page says the record is ready for billing.
Talk, do not dictate, and let draft flowsheet rows appear for review. Use Linked Sources to trace a row to the conversation before it hits the chart. Context can carry to the next shift.
New access is Contact Us. People who already have an account use Log In.
The pre-visit block surfaces history, prior visits, care gaps, and, on the revenue page, chronic conditions from payer files and the EHR.
The encounter block captures the talk, decision support, orders, and, for nursing, draft flowsheet rows. The clinician is described as staying with the patient.
Check the specialty note, the codes, or the flowsheet trace. The pages say the draft is ready for review. They do not say it files itself.
A price was not verified here. Ask Abridge for the current rate, and for whether any trial or free access exists. The visible actions are Contact Us and Log In.
Homepage percentages and the GPT-5.5 evaluation line are not a rate card. A health system would still need a quote.
A price was not verified here. The materials reviewed here show Contact Us and Log In. Ask Abridge for the current rate, and whether any trial or free access exists.
SourceThe clinician page says a structured, specialty-specific note is ready for review when the visit ends. The nursing page says draft flowsheet rows are verified before they hit the chart, and that nurses can trace them to the conversation. The pages do not say the model signs the record.
SourceDocumentation lands directly in Epic. The revenue page says products deploy inside the existing EHR.
SourceThe nursing page says to rely on HIPAA-compliant, enterprise-grade security, and both clinician and nursing pages say to protect data with 256-bit encryption in transit and at rest and to store it in U.S. based centers.
SourceAbridge states a 14% increase in wRVUs and, for Riverside Health, a 14% increase in HCC diagnoses per encounter. Other vendor figures include 100M+ conversations a year, an 86% documentation-effort line for Reid Health, a 25% relative increase tied to a GPT-5.5 evaluation, and a 28-language line. Those are the vendor's figures.
SourceThe homepage says that with better tool use and stronger reasoning, Abridge saw a 25% relative increase in its ability to match elements in a rubric-based clinical quality evaluation. That is the vendor's evaluation sentence.
SourceThe clinician page names UpToDate, the New England Journal of Medicine, and JAMA as sources for context-aware insights during the encounter. It does not say every suggestion is shown, or how a clinician accepts one.
SourceOct 6, 2026 · NavHunt editorial
NavHunt did not run Abridge, did not record a visit, and did not request a quote. Workflow, Epic, and HIPAA wording come from Abridge pages reviewed on 6 October 2026. A price was not verified here. Customer percentages, the KLAS label, and the GPT-5.5 evaluation line are the vendor's material, not a NavHunt result. This description is based on Abridge's official materials reviewed on 2026-10-06, including Abridge homepage, Abridge for clinicians, Abridge for revenue cycle, Abridge for nursing.
The public pages offer Contact Us and Log In, not a self-serve checkout. Read the draft-and-review steps before treating a note as final.