Microsoft showcases 7 real-world cases of global healthcare teams using AI to improve efficiency

ME News Report, April 15 (UTC+8), recently, Microsoft published an article introducing specific cases where healthcare systems around the world have adopted artificial intelligence to alleviate budget pressures and improve service accessibility. The cases include: the Munich Fire Department in Germany testing a multilingual NLP AI dispatcher based on Microsoft Foundry and Azure Speech at the emergency department of the city’s largest hospital, used to handle non-urgent transfer calls. The NHS Foundation Trust Hospital at the University of Manchester in the UK uses Microsoft Dragon Copilot environment AI tools to automatically generate structured medical records during doctor-patient communication; according to a cardiologist, this system saves several minutes per patient, which can add up to one more patient seen per day, and the hospital estimates that this could serve an additional 250k patients annually. In Kenya, an AI application called Zendawa supported by Microsoft Copilot 365 and Power BI helps small independent pharmacies manage inventory, reduce waste, and generate credit scoring applications for loans based on sales data. Additionally, the article mentions AI tools used in Spain to accelerate diagnosis processes, and a hospital in Japan that maintained critical medical services during a ransomware attack by utilizing AI. The article emphasizes that these AI applications aim to improve efficiency and safety while always placing clinicians at the center of decision-making and patient care. (Source: InFoQ)