AI system at Rambam spots critical ER cases within seconds

A new artificial intelligence system operating at Rambam Health Care Campus analyzes the data of every patient in its emergency departments in real time, suggests possible diagnoses and treatments and identifies complex or unusual cases within seconds. The system, named Shaked, has been in use at the Haifa hospital for the past six months. According to its developers, it has already shortened the time required to admit patients by one hour and reduced waiting time for specialist consultations in the adult and pediatric emergency departments by 25 minutes. “This is the first AI system involved at highly important decision-making points in the emergency department,” said Prof. Shahar Shelly, director of Rambam’s Neurology Department and head of the artificial intelligence laboratory at the Technion’s medical faculty, who initiated and developed the system. “We believe waiting times will be shortened significantly in the near future.