Tuesday, May 13, 2025

Biome Analytics Introduces AI-Powered Documentation Audit Product to Enhance Cardiovascular Data Accuracy and Revenue Optimization

Related stories

BigID Launches AI Privacy Console for Risk Management

BigID, a leading innovator in data security, privacy, compliance,...

Zencoder Unveils Zen Agents: Custom AI Platform & Marketplace

Breakthrough Technology Empowers Development Teams to Create, Share, and...

Press Ganey Names Avanish Mishra, Ph.D., President, Life Sciences

Press Ganey, the leading provider of experience measurement, analytics,...

QuantHealth Launches AI Model for Clinical Life Sciences

The Foundation Model, Soon to be Available on AWS...

Tricentis Boosts Toolchain in RISE with SAP for AI Cloud

New capabilities help secure and streamline the journey to...
spot_imgspot_img

Biome Analytics, the leader in cardiovascular performance improvement solutions, is pleased to announce the launch of its latest innovation, the Biome Risk Audit. Developed to address challenges in risk reporting and documentation accuracy in cardiovascular care, this artificial intelligence (AI) enabled tool integrates traditionally siloed quality data and billing information to improve publicly reported outcomes and maximize revenue opportunities.

The Biome Risk Audit solves longstanding challenges with risk reporting and documentation accuracy. By comparing manually abstracted quality data with billing/coding data, this solution enables healthcare organizations to capture patient risk more accurately, improve quality rankings, and maximize reimbursement.

Also Read: Sagility Acquires BirchAI, a GenAI Company in the Healthcare Space

“At Biome, we understand the critical importance of accurate risk reporting and documentation in cardiovascular care,” says Matthew Esham, Biome’s Vice President of Analytics. “Our Bi-Directional Risk Audit Engine provides cardiovascular teams with practical tools to enhance documentation accuracy and revenue, saving healthcare teams hundreds of hours.”

One early-release client identified a 37% under-documentation of comorbidities like diabetes. Another client improved their observed-to-expected ratio by 30%. Both organizations realized revenue and margin improvements in just one-quarter of usage.

SOURCE: BusinessWire

Subscribe

- Never miss a story with notifications


    Latest stories

    spot_img