UCHealth Utilizes AI and Workflow Automation to Streamline Inpatient Flow

Resources

From Chaos to Clarity: How UCHealth Utilizes AI and Workflow Automation to Streamline Inpatient Flow to Decrease Opportunity Days by 8%

Speakers

Darlene Tad-y

MD, ACMO of Patient Flow, University of Colorado Hospital, UCHealth

Jamie Nordhagen

MS, RN, NEA-BC Senior Director, Patient Flow and Capacity Management, UCHealth

Summary

The adoption of artificial intelligence (AI) in healthcare is rapidly transforming patient care and enabling hospitals to make more informed operational decisions. In this webinar, leaders from the major academic health system UCHealth explore how hospitals can leverage the data from electronic medical records (EMRs) and other IT systems to achieve operational digital transformation. By using LeanTaaS’ iQueue for Inpatient Flow, 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, the presenters share how their own use of iQueue’s 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, on the first time; uncover admission and discharge bottlenecks by service and level of care; and highlight high-impact transfers.

UCHealth successfully moved beyond traditional methods of reporting such as dashboards, paper, and Excel-based reports, and is leveraging cloud-based AI technology via a “smart, portable capacity command center” to increase patient access to care.

Viewers of this webinar will gain insights into how to leverage AI and workflow automation to optimize hospital operations and improve patient outcomes, and be able to:

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
Understand the potential of technology in improving communication and collaboration regarding patient flow across various departments and stakeholders in healthcare organizations
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

Results

0.4Days reduction in average length of stay, freeing the equivalent of 35 inpatient beds

6.8%Increase in patient admissions, 1,380 more patient admissions, without adding physical beds or additional staff

8%Decrease in opportunity days

We all know what's in your electronic health record isn't exactly how your day ends up turning out - depending on ED volume, who actually gets admitted from the OR, who doesn't. What the iQueue for Inpatient Flow tool does is take the guesswork out of what actually happens for the day.

Jamie Nordhagen MS, RN, NEA-BC

Senior Director, Patient Flow and Capacity Management, UCHealth