QAELUM

QAELUM

@qaelum

Leuven (Wilsele), Flemish Brabant
http://www.qaelum.com
Hospitals and Health Care

Overview

About QAELUM

Built as a spin-off from University Hospitals Leuven, Qaelum empowers radiology teams with intelligent software that elevates quality, boosts operational efficiency and facilitates regulatory compliance.
Our solutions are vendor neutral by design, giving hospitals full visibility and control across their entire radiology ecosystem. From radiation dose tracking to workflow optimization, we help institutions create a culture of continuous improvement.

Our Solutions
Our portfolio combines the DOSE platform, which includes our CE marked Class IIb medical device for patient radiation dose monitoring (CE 1639), with the FOQAL platform, a modular suite designed to optimize radiology operations at scale.
FOQAL provides actionable intelligence through modules for CT repeat analysis, contrast media management, MRI workflow efficiency; compliance management; digital forms & workflows and radiography quality insights.

Trusted Worldwide
Headquartered in Leuven, Qaelum supports healthcare providers across Europe, the Middle East, Asia and the United States — helping imaging departments achieve measurable quality improvements every day.

Committed to Quality & Information Security
We operate under a certified ISO 13485:2016 Quality Management System for our medical device activities.
Our information security management system is certified to ISO 27001:2022, ensuring robust protection of data and critical assets.

Headquarters

Leuven (Wilsele), Flemish Brabant

Website

http://www.qaelum.com

Company Size

11-50 employees

Industry

Hospitals and Health Care

Company Type

Privately Held

Founded

2011

Specialties

patient radiation dose monitoring and management, dose and workflow optimization in radiology, physical - technical quality control in radiology, quality management in breast cancer screening environments, human observer performance experiments, analysis of contrast usage , Automatically identify waste in repeated scans, Analyze MRI device utilization and drive optimization, data collection and administration with intelligent digital forms, Elevate ultrasound machine performance, and Quality Assurance (QA) tools for medical imaging

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