Early AI adopters beginning to see success predicting readmissions, ED visits

PHOENIX--Early adopters of artificial intelligence solutions are beginning to see success in clinical areas such as predicting readmissions and avoidable emergency department visits, according to a joint report from KLAS Research and the College of Healthcare Information Management Executives (CHIME). KLAS and CHIME polled early adopter healthcare organizations using AI software, specifically machine learning and natural language processing, to evaluate the gains they've achieved in clinical, financial and operational areas. "The most exciting insight from our research is that artificial intelligence (machine learning and natural language processing) has truly begun to make a difference in healthcare. It's not all just smoke," Ryan Pretnik, director of research and strategy at KLAS and co-author of the study, said via email. "Artificial intelligence is driving outcomes, saving patient lives, and driving operational and financial efficiencies for providers and payers."