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 worldwide have introduced artificial intelligence to ease budget pressure 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, for handling non-urgent transfer call requests. 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 one additional patient seen daily, and the hospital estimates that it could potentially serve an additional 250,000 patients 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 based on sales data. The article also mentions that in Spain there are AI tools used to speed up the diagnostic process, and that in Japan a hospital used AI to maintain essential 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)