A 5-Session Subevent of Becker's Hospital Review's 12th Annual Meeting
Tuesday, April 26th, 2022 | 8:00 AM - 1:00 PM CT
12th Annual Meeting
In-Person Event
April 25-28, 2022
Hyatt Regency Chicago
Speakers
Alena Shelton
Director of Business Operations Perioperative & Interventional Services, Rush University Medical Center
Cody C. Stansel
MSN, RN, NE-BC, OCN, CMSRN
Administrative Director, Nursing Vanderbilt-Ingram Cancer Center
Jamie Nordhagen
MS, RN, NEA-BC
Director of Capacity Management and Patient Representatives,
UCHealth
Mohan Giridharadas
Founder and Chief Executive Officer, LeanTaaS
Sanjeev Agrawal
President and Chief Operating Officer, LeanTaaS
Program of the event
Explore how health systems across the US are using AI and predictive/prescriptive analytics to transform processes, unlock capacity, and deliver sustainable results.
8 AM - 9 AM CT
In this session, Mohan explains why asset utilization is one of the most pressing operational questions facing health system leadership. Unlocking capacity in key assets like ORs, inpatient beds, and infusion chairs enables better patient experience, hospital economics, and staff and provider satisfaction. It also delivers incredible financial impact — $200-250 billion dollars per year across all 5,000 hospitals in the US, which translates to $40-50 million dollars per year for the average hospital. This is particularly relevant now given the adverse impact that Covid has had on the financial performance of many health systems.
Learning Objectives:
- Learn why asset utilization in healthcare is broken and the lessons from other industries that can be applied for dramatic results
- Discover how capacity management can be an innovative solution to address critical staffing challenges
- Understand why AI-driven systems are better than existing processes and technologies (e.g. EHRs) at matching supply and demand and are a smarter capacity investment than building more facilities
Presented By:
Mohan Giridharadas,
Founder and Chief Executive Officer, LeanTaaS
9 AM - 10 AM CT
Vanderbilt-Ingram Cancer Center experienced the typical infusion center pain points of high patient wait times, a desire to increase capacity without the resources to do so, unmanageable, peaky midday spikes, and burnt out nurses who frequently missed their lunches.
iQueue for Infusion Centers was implemented in 3 of Vanderbilt’s infusion centers and shortly after implementation, VICC was able to experience alleviation from the aforementioned pain points with key metrics including:
Nearly 30% decrease in patient chair wait time
20% decrease in drug wait time at the largest center
Optimized scheduling templates that level-load appointment demand across the day
Presented By:
Cody C. Stansel,
MSN, RN, NE-BC, OCN, CMSRN
Interim Director, Nursing,
Vanderbilt-Ingram Cancer Center
Accessibility and efficient use of operating room time is a common challenge perioperative leaders face on a daily basis. Typical “best practices” and benchmark data often fail to identify and address the underlying issues related to scheduling and utilization challenges. Despite best efforts, organizations often lack a standardized approach to key operational decision-making with visible and transparent “single source of truth” data.
Join Rush University Medical Center’s Director of Business Operations, Perioperative & Interventional Services to discuss historical barriers in achieving optimal use of OR time and the value of adopting a culture of data transparency and metric standardization. Gain valuable insight into Rush University Medical Center’s decision to implement cloud-based analytical scheduling software and the benefits of gaining access to transparent data, defensible metrics, powerful visualizations and easy-to-use tools “on the fly”.
Learning Objectives:
- Explain the challenges that present when using EHR reporting tools for key operational decision-making.
- Describe the value of adopting a culture of data transparency and metric standardization.
- Evaluate the benefits of implementing tools built on prescriptive and predictive data analytics into the perioperative workflow.
Presented By:
Alena Shelton
Director, Perioperative & Interventional Services,
RUSH University Medical Center
10 AM - 11 AM CT
While cloud-based technology can be used to predict discharges and admissions, place the right patient in the right bed, uncover bottlenecks and highlight high-impact transfers, ensuring that technology is ingrained as part of the care team’s daily activities is just as important. Hear how healthcare organizations are adopting and integrating predictive and prescriptive analytics to leverage data already being gathered via their EHR to improve patient throughput.
Join us to learn how organizations are digitally transforming their day-to-day activities by utilizing predictive analytics and a “virtual distributed capacity command center” while achieving impressive results, such as reducing the time to place by 16% and decreasing the time to transfer from the ICU by 65%.
Learning Objectives:
- Explain why traditional initiatives such as lean process, dashboards, provider alerts and centralized command centers have failed to address the core problem around patient flow.
- Identify how technology can improve communication, transparency and collaboration regarding patient flow throughout your organization.
- Recognize ways predictive analytics provides actionable information to make the best capacity management decisions.
Presented By:
Jamie Nordhagen,
MS, RN, NEA-BC
Director of Capacity Management and Patient Representatives,
UCHealth
11 AM - 11:45 AM CT
Having enough ICU capacity and specific floor beds available, being able to continue to perform elective surgeries, and adjusting the staff and nursing roster dynamically to avoid burnout are issues that have never been more important. But why do health systems find it so hard to address these issues even during “normal” times let alone during a crisis?
The foundational math of capacity management, matching supply with demand, is broken. Existing tools and processes need to be fundamentally revamped for health systems to overcome waves of COVID-19 and similar shocks in the future, to maximize use of their assets, creating value for patients and themselves. The key is deploying proven and scalable AI-driven, intelligent, virtual, and distributed systems and creating a culture of innovation in the organization that embraces change. The results? 90% confidence in critical inpatient bed capacity management, 8% decrease in opportunity days (difference between Med/Surg LOS & CMS LOS), $500k more revenue per OR per year, less chaos, less burnout, and less provider alarm fatigue.
Learning Objectives:
- Identify the current challenges of capacity management – underlying math to match supply with demand – for health systems to maximize the use of assets to create value for patients and themselves.
- Understand how AI-driven, intelligent systems can optimize the matching of supply and demand – during both “crisis” and “normal” times, without the extensive capital and resources needed by a command center.
- Describe how Health Systems are tapping into knowledge from IT platforms to improve census predictions and real-time decisions about patient placement, staffing, surges, diversion prevention, and operating room capacity.
Presented By:
Sanjeev Agrawal
President and Chief Operating Officer,
LeanTaaS