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 examples of healthcare systems around the world adopting artificial intelligence to ease budget pressures and improve service accessibility. The examples include: in Munich, Germany, the local fire department is testing a multilingual NLP AI dispatcher based on Microsoft Foundry and Azure Speech in the city’s largest hospital emergency department, for handling non-urgent transfer calls. In the UK, the NHS Foundation Trust Hospital at the University of Manchester uses Microsoft Dragon Copilot environment AI tools that can automatically generate structured medical records during doctor–patient communication; according to a cardiologist, the system saves several minutes per patient, which adds up to about one additional patient seen per day. The hospital estimates that this could 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 using sales data. The article also mentions that in Spain there are AI tools used to accelerate the diagnosis process, and that in Japan a hospital 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)