Wednesday, January 22, 2025

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

Related stories

Prompt Security Launches Enhanced GitHub Copilot Solution

Prompt Security, a leader in generative AI (GenAI) security,...

Buck.ai & AccuKnox Partner for Zero Trust Security

AccuKnox, a leading provider of Cloud Native Application Protection...

Freename Launches .etherlink Domain for Web3 Identity

Freename, a leading multi-chain Web3 namespace platform, has teamed...

EarnOS raises $5 Million to reinvent brand-user interactions

Embracing Web3, EarnOS delivers global engagements where “everyone wins.”...

Mauna Kea Gains New U.S. AI Patent for Endomicroscopy

Mauna Kea Technologies, inventor of Cellvizio®, the multidisciplinary probe...
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