The University Hospital in Berne wanted to relieve a team of highly trained medical professionals – Zühlke established an AI-based solution.
Algorithms to Support Trained Medical Professionals
Medical patient reports need to be classified with disease codes. At the University Hospital in Berne, this process was manually performed by a coding team consisting of highly trained medical professionals. The hospital wanted to develop and evaluate machine learning algorithms to automatically classify patient reports in order to support the team in their daily work.
First prototype after only three weeks
To increase the efficiency of the coding team, Zühlke developed a machine learning based solution allowing for an automated classification of medical patient reports that can be employed in an expert in-the-loop setting. In just three weeks, a team of data scientists and consultants developed a first prototypical machine learning solution and demonstrated its feasibility.
Establishment of data science team
Based on the first prototype, key decision makers of the hospital decided to invest in further development. Zühlke developed a state-of-the-art solution based on deep learning in another four months and supported the University Hospital Berne in the establishment of a data science team and the corresponding infrastructure.