From Chaos to Clarity: How UCHealth Utilizes AI and Workflow Automation to Streamline Inpatient Flow to Decrease Opportunity Days by 8%
Date & Time
Wednesday, June 7, 2023, 11:45 AM - 12:20 PM
Jamie Nordhagen, MS, RN, NEA-BC Darlene Tad-Y, MD

The adoption of artificial intelligence (AI) in healthcare is rapidly transforming patient care and enabling hospitals to make more informed operational decisions. This session will explore how hospitals can leverage the data from electronic medical records (EMRs) and other IT systems to achieve operational digital transformation. By using advanced technology that applies complex mathematical algorithms to this data, hospitals can gain timely and actionable insights that improve the quality, effectiveness, and efficiency of care, while optimizing the utilization of their most valuable and scarce resources — inpatient beds and nursing staff.

During this thought provoking session, hear how the use of AI and workflow automation are enabling front-line and leadership teams to efficiently:

  • Predict discharges and admissions by specified unit on an hourly basis into the future
  • Get the right patients in the right bed (the first time)
  • Uncover admission and discharge bottlenecks by service and level of care
  • Highlight high-impact transfers

Learn how UCHealth is moving beyond traditional methods of reporting such as dashboards, paper, and Excel-based reports, and how they are leveraging cloud-based AI technology via a "smart, portable capacity command center" to increase patient access to care. Using iQueue for Inpatient Flow, they reduced average length of stay by 0.4 days, which translates into the equivalent of 35 inpatient beds and enabled 1,380 more patient admissions, a 6.8% increase, without adding physical beds or additional staff. 

Don't miss this opportunity to gain insights into how you can leverage AI and workflow automation to optimize hospital operations and improve patient outcomes.

Learning Objectives:

  1. Evaluate the limitations of traditional initiatives such as lean processes, dashboards, provider alerts, and centralized command centers in addressing patient flow issues in healthcare organizations.
  2. Understand the potential of technology in improving communication and collaboration regarding patient flow across various departments and stakeholders in healthcare organizations.
  3. Identify the key features of predictive analytics and how it can be used to provide timely and actionable information for effective capacity management decisions in healthcare organizations.
Virtual Session Link