Outpatient Surgery Magazine

Special Edition: Hot Technology - April 2020 - Subscribe to Outpatient Surgery Magazine

Outpatient Surgery Magazine, providing current information on Surgical Services, Surgical Facility Administration, Outpatient Surgery News and Trends, OR Excellence and more.

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Hospital in Toronto and a professor of surgery at the University of Toronto. "We provide very deep insights to those." The system lets surgical facilities be proactive rather than reactive, leveraging data to prevent future mishaps and difficulties. "The cur- rent model is that you wait for somebody to suffer a complication in order to analyze what happened and make improvements," says Dr. Grantcharov. "We want to identify deviations from the perfect course of an operation, especially if there's a pattern. We want to replace ini- tiatives based on tradition, emotions or gut feeling, and make data-dri- ven decisions." Twelve facilities in the U.S., Canada and Western Europe currently use the OR Black Box, with three more coming online soon. Dr. Grantcharov expects close to 30 institutions to be on board by year's end. Rollout has been careful and deliberate. Dr. Grantcharov has even turned down interested facilities he felt weren't culturally prepared. "We're focused on creating a network of institutions that share the same vision to make surgery safer, and to make the operating room safer, more efficient and a better working environment," he says. "Unlike professionals in sports, oil, aviation or the nuclear industry, we in health care, especially in the OR, are not used to this level of transparency. We had to convince healthcare providers that this is something that is confidential and non-punitive and makes all of us better, something that makes our ORs safer and more efficient." Dr. Grantcharov is looking to partner with surgical facilities that are committed to improving quality and safety in a confidential and non- punitive fashion as opposed to facilities where every failure has to be associated with blame and shame or identifying individuals rather than system issues. As such, the black box data analysis focuses on system factors like 3 6 • O U T PA T I E N T S U R G E R Y M A G A Z I N E • A P R I L 2 0 2 0

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