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Abridge Seeks to Connect Care Delivery, Payment, Research

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Now that ambient AI for clinical conversations has become more of a commodity, the early vendors in this space are seeking to distinguish themselves by expanding their offerings upstream and downstream from the patient conversation. One of the leaders in this space, Abridge, came out with several announcements on June 11. Besides announcing Northwestern Medicine as a new enterprise customer, Abridge this week outlined how its clinical intelligence platform is evolving to add AI-based features before, during and after patient visits, as well as a strategic investment from life sciences firm Eli Lilly and Co.

The Wall Street Journal also reported today that Nvidia is joining with Abridge to train an artificial intelligence model tailored for healthcare. The AI model is designed for clinical conversations, the companies said, and will be used exclusively within Abridge’s platform to improve tasks like clinical decision support and documentation, WSJ reported. Nvidia is an investor in Abridge.

Abridge’s solution is now live at more than 300 health systems, including community health centers, specialty hospitals, and the largest providers in the country. Abridge also is developing connections with payers and life sciences organizations through clinical workflows.

"By easing documentation demands with Abridge, our clinicians are able to be more present with their patients, resulting in more meaningful interactions and a stronger career experience. Just as importantly, out helps support continuity across the patient journey, enabling more coordinated care before, during and after each visit," said Northwestern Medicine CIO Doug King, in a statement. 

Here are some ways the company says its platform is expanding: 

• Before the visit: Abridge prepares clinicians with concise patient summaries embedded directly in the electronic health record. For outpatient visits, summaries draw from the patient chart, prior clinical
conversations, and the patient’s longitudinal care journey. For inpatient care, Abridge generates pre-round summaries from emergency department documentation, nursing assessments, labs, imaging, and hospitalist encounters.

During the visit: Abridge says its platform is evolving from passive documentation to active, in-the-moment support for clinicians and patients. The platform suggests discussion topics based on the patient summary and the clinical conversation. Abridge also is offering clinical decision support at the point of care, bringing together insights from leading sources of medical evidence, contextualized to the patient record and clinical conversation.

After the visit: Abridge can generate clinical documentation, flow sheets, patient summaries, billing codes, and orders for clinician review. Its AI agent allows clinicians to tailor outputs using natural language before documentation flows seamlessly into the EHR for review and signature. 

Smart room integrations: On the inpatient side, Abridge is developing smart room integrations with vendors hellocare.ai and Artisight, as well as ambient tools for nursing. 

Revenue integrity: Abridge also said it  is partnering with AHIMA, the association for health information and medical coding professionals, to support the quality, accuracy, and auditability of Abridge coding outputs. The collaboration is designed to help ensure Abridge’s coding and clinical documentation improvement capabilities are evaluated with the rigor expected by the coding profession across fee-for-service and value-based care reimbursement models.

At an event in New York, Abridge CEO Shiv Rao announced the strategic investment from Eli Lilly and Co. The company said the convergence of AI, precision medicine, and real-time clinical intelligence is creating new opportunities to help clinicians identify disease earlier, understand emerging evidence, and connect eligible patients to appropriate
research pathways.

An example of its potential in this space is clinical trial screening, supported by the clinical conversation: For conditions such as Alzheimer’s disease, biomarkers and risk indicators can emerge years before diagnosis, and early identification can be critical.

In the realm of payers, Abridge is launching a coalition with Aetna and health systems Emory Healthcare and Hartford HealthCare to explore how health systems and payers can work together through trusted clinical workflows to account for the full clinical picture of each patient at the moment care is delivered.

Abridge said it is aligning real-time documentation with real-time claims workflows. As AI becomes more common across healthcare administration, the company says the goal should be to reduce friction between
providers and payers, rather than automate the adversarial processes that already slow down care delivery and reimbursement. Abridge starts earlier, grounding documentation, billing codes, and claims in the full clinical picture at the moment care is delivered. Abridge claims that the shared foundation can help health systems and payers reduce rework, support patients faster, and move closer to real-time adjudication where possible.

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