Tag: LeanTaas

No construction required—AI uncovers system-wide capacity

Amid rising demand for surgical procedures, improving perioperative operations is a pressing priority for any hospital. For a system serving one of the fastest-growing counties in the US, it becomes an operational imperative. This is the case for WakeMed Health & Hospitals (WakeMed). With ORs spread across multiple facilities in…

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By: Alyssa Arrese, MHA
November 20, 2024
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Pilot project takeoff proves promise of AI staff optimization

Perioperative leaders face mounting pressures to optimize resources, reduce costs, and improve patient outcomes. However, one challenge stands out among the rest: OR staffing shortages. According to a November/December survey conducted by LeanTaaS in collaboration with OR Manager, staff recruitment and retention is a top priority for OR leaders this…

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By: Stacey Leadbeater
August 28, 2024
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AI’s pivotal role in transforming OR efficiency, now and in the future

Next-Gen Disruptors: Technologies Transforming the OR Installment #1, presented by LeanTaaS Surgical procedures are necessary steps in patient journeys—no one wants to have surgery, but most people will need it at some point for care continuity and better quality of life. To best support positive outcomes, optimal recovery periods, and…

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By: Elizabeth Stocum, BS, RN
March 22, 2024
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Transformation as a service: What hospitals can expect from LeanTaaS

The surgical department often deals with challenges like underused block time, inefficient scheduling, limited data, and unpredictable demand. They also struggle to match staff skills to service needs. LeanTaaS and its software help to tackle these issues by using lean principles, predictive analytics, and machine learning. The LeanTaaS solutions are…

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By: OR Manager
August 21, 2023
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INDUSTRY SPOTLIGHT: LeanTaaS

Download the PDF Version of the Industry Spotlight In 2013, LeanTaaS partnered with Stanford Health Care to solve an infusion scheduling challenge and created an algorithm to optimally match available supply with ongoing demand. The solution for Stanford worked, leading to 18 months of refining algorithms before creating the product,…

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By: OR Manager
September 27, 2022
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