As hospitals and health systems are seeking to adopt AI and machine learning technologies in order to improve their delivery of value based care, they are increasingly exploring innovative yet proven ways of leveraging these technologies to improve operational, and not just clinical, performance. Operational improvement enables optimal use of resources, empowers staff efficiency, increases patient access, and reduces costs and grows revenue overall. 

But with so many emerging technologies in this space, how can healthcare organizations cut through all the noise, marketing, promises, and proposals to choose which technologies to “make versus buy” and which potential technology partners will provide their organization the most value?

In this session, join Niel Oscarson, Research Director at KLAS Research and Ashley Walsh, Vice President of Client Services at LeanTaaS (iQueue for Operating Rooms) as they discuss key considerations for health systems seeking to adopt AI based operational capacity and utilization tools. They will also review the results of KLAS’ recently conducted survey of 20 healthcare managers and leaders across 16 unique health systems, including LeanTaaS’ impressive scores as a technology and change management partner for its perioperative solutions.  

LeanTaaS achieved 100% KLAS scores for “Keeps all promises,” “Part of long term plans,” “Will buy again, ” and “Avoids Nickel-and-Diming.” 

Viewers of this webinar will be able to: 

• Identify the key considerations for healthcare organizations when evaluating AI-based operational capacity and utilization tools, such as investment in product and depth of market experience
• Understand the importance of identifying key performance indicators for assessing the performance of SaaS companies in the market, particularly emerging solutions
• Gain insights into how to calculate and understand the return on investment for SaaS solutions, specifically in the context of AI-based operational capacity and utilization tools