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

ME News, April 15 (UTC+8). Recently, Microsoft published an article introducing specific examples of healthcare systems around the world 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 dispatch operator based on Microsoft Foundry and Azure Speech at the emergency department of the city’s largest hospital, to handle non-urgent inter-facility 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 cardiology specialist, the system saves several minutes for each patient, and over time that could allow the hospital to see one more patient 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. In addition, the article mentions that Spain has AI tools to speed up the diagnostic 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 intended to improve efficiency and safety while always keeping clinicians at the center of decision-making and patient care. (Source: InFoQ)