If you are a private clinic network dealing with high administrative burdens and billing errors—this project developed a plug & play platform that saves up to 10 minutes per patient treatment and reduces billing errors that cost €17 billion annually.
AI-Driven Hospital Operating System to Reduce Admin Work and Medical Errors
Imagine if a hospital's paperwork worked like a smart smartphone app that fills itself in. Instead of doctors spending hours typing, the system automatically organizes patient data into a digital library. This lets doctors spend more time with patients and uses AI to spot potential mistakes before they happen.
What needed solving
Hospital staff spend 169 minutes daily on paperwork due to poor digitization. This leads to a 25% global treatment error rate and €17 billion in annual avoidable billing costs.
What was built
A modular, plug-and-play software platform that automates patient documentation, generates structured medical data, and provides AI-based diagnostic support.
Who needs this
Who can put this to work
If you are an EHR vendor dealing with unstructured data that cannot be used for research—this project developed a system that generates up to 2,000 structured data points per treatment to enable AI-driven medical research.
If you are an insurance payer dealing with a 20% billing error rate in hospital claims—this project developed a diagnosis coding and billing automation tool that can save hospitals up to €650 per patient.
Quick answers
How much does the software cost or save?
Based on available project data, the software allows hospitals to save up to €650 per patient and reduces global medical billing errors by €2.8 billion annually.
Can this be scaled to large hospital networks?
Yes, the platform is described as a modular plug & play solution that networks all hospital departments and connects more than 40 operable applications.
What is the IP or licensing model?
Based on available project data, specific licensing terms are not provided, but the project is led by Avelios Medical GmbH, an SME.
Does the system comply with data privacy laws?
Yes, the project ensures that all data processing activities comply with GDPR to safeguard patient privacy.
How does it integrate with existing hospital software?
The platform acts as an interconnected software layer that can connect more than 40 different operable applications across departments.
Who built it
The project is managed by a single-partner consortium consisting of Avelios Medical GmbH, a German SME. This indicates a highly streamlined execution model where 100% of the industrial effort is concentrated in one agile company, reducing coordination overhead but relying entirely on the SME's internal capacity.
Contact Avelios Medical GmbH in Germany
Talk to the team behind this work.
Request a detailed technical briefing on the AI diagnostic engine.