In this episode we discuss capacity management with two industry experts, Niel Oscarson, the Research Director for KLAS Research, and Sanjeev Agrawal, President and Chief Operating Officer for LeanTaaS. Tune in for insights on what's on the horizon for capacity management, the impact of AI, starting points to move the needle, and much more. This episode is sponsored by LeanTaaS.
Summary
Capacity Management in Healthcare - Insights and Best Practices
Introduction
In this episode, we discuss capacity management with two industry experts, Niel Oscarson and Sanjeev Agrawal. Oscarson is the Research Director for KLAS Research, while Agrawal serves as the President and Chief Operating Officer for LeanTaaS. Join us as we delve into what's on the horizon for capacity management, the impact of AI, starting points to move the needle, and much more.
Sponsored by LeanTaaS
This episode is sponsored by LeanTaaS.
Insights from the Discussion
In this insightful discussion, Neilson and Sun Chief Agrawal explore the concept of capacity management in healthcare. They highlight the challenges faced by healthcare organizations with regards to scarce resources, and the significant role capacity management plays in addressing these challenges. The discussion also covers the use of machine learning and AI to predict load for operating rooms and other hard capacity constraints, thereby optimizing efficiency.
Class Research Capacity Management Report
Class Research recently released their first-ever capacity management report, which outlines the benefits healthcare leaders are experiencing through technology integration improvements. Sanji emphasizes that industries like airlines, FedEx, and Uber have successfully optimized based on demand and supply predictions. He then provides three best practices for healthcare to apply these techniques: shifting from rules of thumb to AI/ML, embedding principles into workflow, and implementing change management. Neil further highlights the customer experiences documented in the LeanTaaS solution and the class rating systems detailed in the report.
Positive Outcomes and Success Stories
The report reveals that capacity optimization solutions are delivering impactful outcomes for healthcare organizations. Improved resource productivity and efficiency, enhanced patient throughput, effective communication, and a better clinician experience are reported as the most significant outcomes. LeanTaaS stands out in the space due to its large customer base and successful results. Success stories from partners like Novant Health and Baptist Jackson demonstrate staggering achievements, such as a 13x ROI and waiting room-free infusion centers. Looking ahead, Neil identifies the need for a deeper understanding of each health system's unique needs to tailor predictions and solutions accordingly, as well as better integration with existing technologies and systems.
The Future of Healthcare and AI
The conversations with early adopters of AI technology have showcased incredible results. There is still immense untapped potential for adoption, as well as an opportunity to utilize current technology more effectively. Sanjeev believes that healthcare should open up to provide greater access to data, enabling innovators to work their magic. Healthcare has a unique opportunity to surpass other technologies, and the best is yet to come. It is crucial to distinguish marketing pitches from reality and allow those who deliver concrete outcomes to rise to the top.
Conclusion
This episode of the Becker Healthcare Podcast featured Neil and Sanjeev from Class Research and LeanTaaS, discussing the evolution of capacity management over the years. They express their gratitude to Scott for hosting them on the show and look forward to providing more insight from Class Research and updates from LeanTaaS.
Note: This is an AI generated transcript, not edited by a staff writer and is solely intended for educational purposes. If you have any questions/concerns, reach out to podcasts@beckershealthcare.com
This episode aired on 05/24/2023 and can be listened here.
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