OMNIA Software

Overview

OMNIA is COSMED's comprehensive data management software designed for metabolic assessment, lung function testing, and body composition analysis. It streamlines the entire diagnostic workflow—from patient registration and test execution to result analysis and report generation—helping healthcare professionals save time and reduce errors.

Compatible with the full range of COSMED diagnostic devices, OMNIA offers an intuitive interface, secure patient database, customizable reporting, and seamless integration with Hospital Information Systems (HIS). Built according to international clinical standards, it provides reliable data management for hospitals, clinics, sports performance centers, and research institutions.

Key Features

Intuitive

OMNIA features an intuitive graphical user interface (GUI) that guides users through every step of the testing process, from patient data entry to result interpretation, ensuring an efficient workflow and reliable results.

Compliant

Designed in accordance with the latest international clinical guidelines, OMNIA supports standardized testing procedures and helps ensure accurate, consistent, and compliant diagnostic assessments.

Customized

OMNIA offers flexible configuration options that can be tailored to the needs of small clinics, large hospitals, sports performance centers, and research institutions.

Integrated

The software seamlessly integrates with the complete range of COSMED diagnostic devices and compatible auxiliary equipment, providing a unified platform for metabolic, lung function, and body composition testing.

Connected

OMNIA supports shared databases across multiple workstations and network environments while enabling direct integration with Hospital Information Systems (HIS) for streamlined patient data management.

Secure

Built with advanced security features, OMNIA protects patient information through secure database management, user access controls, reliable data backup, and privacy protection, ensuring data integrity and minimizing the risk of data loss.