Abstrakt

Obstructive sleep apnea (OSA) – characterized by interruptions in the nocturnal respiratory flow – is a widespread condition in Germany with an estimated 26 million people affected. For optimal treatment, early diagnosis and usually permanent therapeutic measures are necessary. Medical data science, i.e.; making health data available and making use of them – for example with artificial intelligence (AI) methods – can contribute in a variety of ways to better research into OSA and the care of affected persons. The new legal framework conditions such as the German Health Data Utilization Act as well as technological innovations such as the electronic patient record and sensor-based health monitoring offer new opportunities to accompany and involve OSA patients along the entire patient pathway. In the Somnolink project, these possibilities are being investigated and put into practice.

Autoreninformation

Autoren

• D. Krefting
• für die Somnolink Studygroup

Abteilungen

• Universitätsmedizin Göttingen, Institut für Medizinische Informatik, Göttingen

Adresse

Prof. Dr. Dagmar Krefting
Institut für Medizinische Informatik
Robert-Koch-Straße 40
37075 Göttingen
Email: [email protected]

Citation