Practice management software for German medical clinics and radiology centers
abasoft builds EVA, a practice management platform for physicians and medical facilities across Germany. The company has evolved its stack toward modern web development—Next.js, React, Python, FastAPI—while maintaining a Windows-familiar interface backed by Linux infrastructure. Active projects signal a shift into AI-assisted development and complex medical device integration, alongside infrastructure modernization; the hiring velocity (4 roles in 30 days across a 11–50 person org) reflects investment in engineering capacity to support these transitions.
abasoft develops integrated practice management software for medical practices, radiologists, and healthcare providers in Germany. The core product, EVA, handles patient administration, billing (including HZV and FZV contracts), medication planning, recall management, and compliance with German medical device and data-protection standards. The company operates with a stable, established customer base in the German healthcare sector and has maintained operations since 1983. Current infrastructure relies on Linux servers paired with Windows client interfaces; the technology roadmap includes modernizing this stack with contemporary web frameworks and AI-assisted development tooling.
abasoft's primary stack includes Next.js, React, and Python (FastAPI) for web applications; PACS for medical imaging; Docker and Jenkins for deployment; Debian/Ubuntu for servers; and Cypress/pytest for testing. Infrastructure runs on Linux servers (Proxmox, VMware) with Active Directory for authentication.
Active projects include modernizing web applications with Next.js and React, building AI-driven development pipelines, integrating medical devices into IT systems, managing complex rollouts in healthcare facilities, and deploying the EVA practice software across medical practices.
abasoft EDV-Programme GmbH's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.