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

ME News message, April 15 (UTC+8). Recently, Microsoft published an article introducing specific cases in which multiple healthcare systems around the world have introduced artificial intelligence to ease budget pressures and improve service accessibility. The cases include: the Munich Fire Department in Germany is testing a multilingual NLP AI dispatcher based on Microsoft Foundry and Azure Speech at the emergency department of the city’s largest hospital, 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 cardiology specialist, the system saves several minutes for each patient, which can add up to seeing one more patient per day, and the hospital estimates that this could result in an additional 250,000 patients 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 application requests for loans through sales data. The article also mentions that Spain has AI tools used to accelerate the diagnosis process, and that a hospital in Japan used AI to maintain essential 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)