An AI language assistant for hospitals
On average, doctors spend up to 44% of their time on documentation, while nurses devote 36% of their work hours to it. This time spent on administrative tasks reduces their focus on patient care. The goal of many technologies introduced in healthcare is to solve that problem: streamline workflows, save time, and improve patient outcomes. By reducing the administrative burden, technologies like AiLa allow healthcare professionals to spend more time on direct patient care. AiLa is a voice-activated AI tool that captures conversations between doctors and patients, transcribes them, and generates accurate clinical documentation. The tool integrates seamlessly into existing hospital systems, bridging the gap between bedside communication and digital documentation. During a live demo, Marc demonstrated how AiLa works in real-time, using a badge that doctors can wear to initiate speech recognition and connect directly to the hospital’s backend systems, including Corti AI for real-time decision support.
Dr. med. Marc Heiderhoff, MBA, is the head of the Institute for Hospital Information Management Münster (IKiM), which serves as the innovation hub for the digital transformation of St. Franziskus-Stiftung Münster’s 15 hospitals. With a background as a practicing physician and expertise in medical informatics and health economics, Marc focuses on the digitization of patient care pathways, leveraging machine learning, artificial intelligence, and robotics to improve hospital operations. His extensive career includes roles as the medical director of Dr. Becker Kliniken, hospital director at Johanniter Hospitals in Bonn, and managing director at Sana Kliniken Düsseldorf. He also serves as Vice President for Digital Business Models in Medicine at Entscheiderfabrik. Marc’s vision aligns with his broader mission at IKiM and St. Franziskus-Stiftung: to build the most innovative, patient-centered hospitals in Germany, using AI and digital tools to enhance precision and care quality.