Tuesday, June 3, 2025

Biome Analytics Launches ECMO, Heart Transplant, LVAD Module

Related stories

EXL & Databricks launch GenAI tool for code migration

EXL, a leading data and AI-driven company, has deepened...

Aptean Acquisition of VLEX for DACH ERP Reach

Aptean Inc., a global leader in AI-powered enterprise resource...

Portless Raises $18M to Transform Global E-Com & Fulfillment

Portless, a U.S.-based innovator in global e-commerce fulfillment, announced...

Syneris Launches to Disrupt AI with Decentralized Compute

A unified network leveraging underused GPU and CPU resources...

Tenable to Acquire Apex Security to Boost AI Risk Coverage

Tenable Holdings, Inc., the exposure management company, announced its intent...
spot_imgspot_img

Biome Analytics, a leader in cardiovascular performance analytics, announces the launch of its newest module designed to enhance data-driven decision-making for ECMO, heart transplant, and LVAD programs.

This advanced analytics module delivers deep insights into patient outcomes, program efficiency, and resource utilization by integrating clinical, operational, and financial data. Developed in collaboration with leading transplant and mechanical circulatory support (MCS) centers, the module enables cardiovascular teams to benchmark performance, optimize patient selection, and refine protocols for better clinical and financial outcomes.

Also Read: Egnyte & Espero Partner on AI-Powered Clinical Trial Solutions

“As ECMO, heart transplant, and LVAD programs grow in complexity, actionable analytics are essential for delivering advanced therapies effectively and monitoring their impact on both patients and healthcare organizations,” said Amber Pawlikowski MSN, RN, CPHQ, Vice President of Performance Improvement at Biome Analytics. “This module provides unprecedented visibility into key performance indicators, empowering programs to improve care pathways and operational sustainability.”

Source: Businesswire

Subscribe

- Never miss a story with notifications


    Latest stories

    spot_img