From AI ambition to health system execution: Closing the gap between promise and practice

Realizing the full value of artificial intelligence in healthcare will require better alignment between payment models, regulatory expectations and the outcomes these technologies are designed to deliver. Health systems are investing heavily in AI and are now expected to show results. In practice, most efforts stall before they deliver measurable impact: up to 80% of projects fail to move beyond pilot and roughly 95% of AI initiatives do not achieve a return on investment . Hospital leaders report repeated pilot failures and persistent difficulty evaluating vendor performance in advance. The Digital Medicine Society (DiMe) and Qualified Health recently brought together…

Source: Healthcare IT News