LeanTaaS Showcases iQueue for Operating Rooms at ANESTHESIOLOGY 2019
First-in-Class Solution Improves Operating Room (OR) Efficiency
LeanTaaS, Inc., a Silicon Valley predictive analytics and machine learning company that specializes in improving healthcare operations, will exhibit its iQueue for Operating Rooms at the American Society of Anesthesiologists' annual meeting, ANESTHESIOLOGY 2019. iQueue for Operating Rooms is a culture-changing cloud-based solution that improves the efficiency with which hospitals manage operating room (OR) capacity.
iQueue for Operating Rooms will be on display at ANESTHESIOLOGY 2019 in Booth 2006 at the Orange County Convention Center in Orlando, Florida, Oct. 19-23.
"Improving OR utilization as well as surgeon access to OR time can significantly boost financial results for hospitals and health systems, increase patient access, and facilitate surgeon recruitment and retention," said Sanjeev Agrawal, president of LeanTaaS. "For anesthesiologists, that translates to a smoother, more efficient day in the OR suite. Rather than being idle for large portions of their day and then working overtime at the end of that same day, anesthesiologists at hospitals and health systems that have deployed iQueue for Operating Rooms (https://leantaas.com/
The solution unlocks OR capacity so more cases can be performed in the same number of ORs without extending business hours. On average, health systems deploying the solution have seen an increase of $500,000 per OR per year.
ANESTHESIOLOGY 2019 is the only meeting that unites more than 14,000 clinicians, thought leaders, and professionals from around the world to discover educational topics, explore trending topics, grow their professional network, and access the latest products and services.
LeanTaaS and iQueue are trademarks of LeanTaaS. All other brand names and product names are trademarks or registered trademarks of their respective companies.
Tags: LeanTaaS, iQueue, healthcare, hospitals, operating rooms, ANESTHESIOLOGY 2019, anesthesiologist, infusion centers, cancer centers, predictive analytics, machine learning, lean principles, cloud