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

ME News report, April 15 (UTC+8). Recently, Microsoft released an article introducing specific examples of how healthcare systems worldwide are adopting artificial intelligence to ease budget pressure and improve service accessibility. The cases include: in Munich, Germany, the fire department is testing a multilingual NLP AI dispatcher based on Microsoft Foundry and Azure Speech at the local largest hospital’s emergency department, for handling non-urgent transfer calls. At the NHS Foundation Trust Hospital of the University of Manchester in the UK, the hospital uses Microsoft Dragon Copilot environment AI tools to automatically generate structured medical records during doctor–patient communication; according to a cardiologist, the system saves several minutes per patient, which can add up to one more patient seen each day. The hospital estimates that this could potentially serve an additional 250,000 patients annually. In Kenya, Zendawa, an AI application supported by Microsoft Copilot 365 and Power BI, helps small independent pharmacies manage inventory, reduce waste, and generate credit scores to apply for loans using sales data. The article also mentions that Spain uses AI tools to speed up the diagnosis process, and that a hospital in Japan used AI to maintain critical medical services during a ransomware attack. The article emphasizes that these AI applications are designed to improve efficiency and safety, while always keeping clinicians at the center of decision-making and patient care. (Source: InFoQ)