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

ME News report. On April 15 (UTC+8), Microsoft recently published an article introducing specific cases of multiple healthcare systems around the world adopting artificial intelligence to ease budget pressure 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 that can automatically generate structured medical records during doctor–patient communication; according to a cardiologist, this system saves several minutes per patient, which adds up to seeing one more patient per day, and the hospital estimates that it may enable an additional 250,000 patients to be served each year. 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-score applications for loans through sales data. In addition, the article also mentions that Spain has AI tools used to speed up the diagnosis process, and a hospital in Japan that used AI to maintain critical medical services during a ransomware attack. The article emphasizes that these AI applications are intended to improve efficiency and safety, while always keeping clinicians at the center of decision-making and patient care. (Source: InFoQ)