At Humber River Health in northwest Toronto, emergency patients requiring admission have waited notably less time for a bed compared to the provincial average since the start of 2023
Dr. Peter Voros, vice-president of clinical services, inside the Command Centre at Humber River Health in Toronto on Oct. 10. On a tour this week, Voros showed off how the command centre and its staff keep patients flowing.Shortly after he co-won the Nobel Prize in Physics this week for pioneering modern artificial intelligence, Geoffrey Hinton digressed from his well-known warnings about the dangers of AI to praise the technology’s promise for medical care.
At Humber River Health in northwest Toronto, emergency patients requiring admission have waited just more than 12 hours, on average, for a bed since the start of 2023, according to the administrative agency Ontario Health. That’s notably shorter than the Ontario average of about 17 hours, and significantly shorter than Canada’s worst-performing facilities, where patients can be stuck in emergency departments for two or three days.
“One of the root problems in health care is this never-ending flow of patients,” Ms. Collins said. “What you’re always battling every day in your work environment is, who needs a bed? How quickly can I get them there?”Barbara Collins, president and CEO of Humber River Health, credits the hospital’s ER waiting times to the way staff work with advanced technology.
Humber, in partnership with consulting firm Deloitte, is now preparing to roll out an AI-enabled tool to predict traffic into the ER and to allow patients not in need of immediate emergency care to reserve slots when the department is quiet. The plan is for patients to book those slots from a kiosk in the ER beginning in November, and from a smartphone by next March. The project is backed by a $1.5-million investment from SCALE AI, a Canadian public-private AI accelerator.
At Michael Garron Hospital in eastern Toronto, eight emergency physicians recently tested AI scribe services to automate their charting. With permission from their patients or next of kin, the doctors turned on a smartphone app to record their interactions. The scribe transformed their interactions into clinical notes that the doctors could check over and edit.
At Toronto’s Hospital for Sick Children, Devin Singh, an emergency physician and computer scientist, helped to create a platform called Hero AI that monitors the waiting room to ensure that high-risk patients aren’t left in the queue dangerously long.
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