A report from McKinsey and Harvard researchers suggests that AI technologies could save the healthcare industry between $200B and $360B per year within the next five years.   AI could help private payers save 7% to 9% on their current costs, or $80B to $110B, according to the analysis from the National Bureau of Economic Research. Machine learning, automation, and natural language processing are cited as AI technologies that could benefit healthcare. Areas where cost savings are most pronounced include management of healthcare, claims, and patient-provider relationships, according to the report. Broken down, the authors estimate that 20% of the AI-driven savings would come from cutting down on administrative costs. The other 80% would come from a reduction in medical costs. For example, AI could help detect adverse issues or optimize the use of operating rooms in hospitals. Insurers could use it to automate prior authorizations and improve claims management.