Every year, an estimated 3 million Americans receive home healthcare services, with the majority being over the age of 65. These programs often improve health outcomes, but they also carry risks. Patients may fall, miss medications, or face complications that lead to hospitalization.
Researchers at Columbia University’s School of Nursing are exploring how artificial intelligence (AI) could help predict and prevent such events. By analyzing large datasets from home healthcare agencies, they aim to develop an AI-powered “nursing agent” capable of identifying risks early and recommending timely interventions. The potential impact is enormous, but bringing this kind of innovation to life requires significant computational power.
Such resources can be difficult to secure without early, flexible support. Supporting research like this is part of the mission of Amazon Web Services (AWS) Social Responsibility & Impact (SRI). Through AWS social impact…
