Artificial Intelligence in Hospitals: A Look at the Future of Healthcare
The current special edition of the business magazine " Manager Magazin " on the role of artificial intelligence (AI) in healthcare examines numerous exciting and forward-looking topics. The issue is devoted to the question of how AI technologies are already being used today and what revolutionary changes they promise for the future. A wide range of aspects are covered, from drug development to digital healthcare to pathological diagnostics.
An overview of the main focuses
The special issue begins with a historical introduction to the development of AI and examines its path from research laboratories to real-life applications in everyday life. A particular focus is on the disruptive changes that AI has already triggered and will continue to trigger in the healthcare industry. Topics such as the use of AI in drug research and the early detection of diseases by AI-supported systems are covered in detail.
Another important aspect is the role of digital health solutions. Several contributions discuss how telemonitoring, digital therapeutics and wearables can improve healthcare, but also point out the challenges, especially with regard to data protection and the need for uniform standards within the EU.
Another outstanding contribution deals with the role of AI in pathology. It shows how AI models can improve diagnostic accuracy and speed and thus contribute to increasing efficiency in clinical practice.
The contribution of Resmonics co-founder Dr. Matthias Groh: AI in hospitals – protection for patients and staff
A special highlight of this issue is the article by Dr. Matthias Groh, co-founder and Chief Commercial Officer of Resmonics. In his article "AI in hospitals: potential for patients and staff," he examines how AI technologies can be used not only to optimize processes, but also to protect hospital staff.
Matthias Groh addresses the current challenge of the shortage of skilled workers in hospitals and shows how AI applications that relieve staff of repetitive and time-consuming tasks can help solve this problem. Particularly noteworthy is the development of Resmonics, an AI-supported sensor platform that detects respiratory infections at an early stage and thus protects both staff and patients from infection.
By using predictive AI systems, potential waves of infection can be detected up to two weeks earlier, allowing hospitals to take timely countermeasures. This not only reduces staff absences due to illness, but also lowers the risk of nosocomial infections in patients - a crucial step towards improving patient safety.