Improving operating room capacity management through data analytics and machine learning will be the breakfast keynote topic of discussion at the upcoming 2020 OR Business Management Conference. Ashley Walsh, senior director of client services at LeanTaaS, Inc., a Silicon Valley software innovator that increases patient access and transforms operational performance for healthcare providers, and Melissa Pressley, management engineer at Duke University Health System (DUHS), will address the audience on Thursday, Jan. 30, at 7:30 a.m. in the Global Ballroom of the Bonaventure Resort & Spa in Weston, Florida. "Improving OR utilization and improving surgeon access to OR time significantly enhances the financial results for hospitals and health systems, increases patient access, and facilitates surgeon recruitment and retention" "DUHS has leveraged EHR data to improve OR access with mobile and web technologies and increase accountability with surgeon-centric metrics and reporting to help our surgeons better understand the "why" behind OR metrics," said Pressley. "I'm looking forward to sharing how DUHS and LeanTaaS have enhanced the patient experience while balancing surgeon needs, among other improvements." DUHS is among several leading health systems in the U.S. that have deployed the LeanTaaS iQueue for Operating Rooms solution to effect data-driven changes to their approach to capacity management.

Long wait times for patients can be the undoing of a large clinic or a hospital system. According to a recent survey, 84% of patients consider a reasonable wait somewhat or very important to a quality experience, and 30% say they've left a medical appointment because of an inordinately long wait. And a whopping 20% of patients say they'd consider changing providers due to wait times alone. That's why Mohan Giridharadas, a Stanford graduate and former McKinsey and Company partner, founded Charlotte, North Carolina- and Santa Clara-based LeanTaaS. It's a predictive analytics company that taps data science to "radically" improve health care provider performance, using cloud-based solutions to solve problems like resource utilization.