This webinar was originally held on November 14, 2023 and is now available for on demand viewing.
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The use of artificial intelligence (AI) is becoming increasingly prevalent in healthcare. However, AI is not only transforming patient care, but also playing a pivotal role in optimizing hospitals' operational decision-making. This form of "operational digital transformation" enables healthcare organizations to leverage the vast amount of data already collected through their electronic medical records (EMR) and other IT systems. By utilizing advanced technology that applies complex mathematical algorithms to this data, hospitals can receive 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
Join us to learn how leaders at UC Health have moved beyond dashboards, paper/Excel based daily reports and are leveraging cloud based AI technology via a “smart, portable capacity command center” and achieving impressive results 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.
- Explain why traditional initiatives (e.g. lean process, dashboards, provider alerts, centralized command centers) have failed to address the core problem around patient flow/
- Identify how technology can improve communication and collaboration regarding patient flow throughout your organization.
- Learn how predictive analytics provides actionable information to make the best capacity management decisions.
SpeakerDarlene Tad-Y, MD
Med. Dir., Capacity Management, UCHealth,
ACMO, Patient Flow, University of Colorado Hospital
As Medical Director of Capacity Management, she oversees efforts to optimize operational efficiency and ensure patients receive the right care, at the right time, in the right setting. She is an Associate Professor of Medicine at the University of Colorado School of Medicine (CU) where she is an academic hospitalist.
In her role with the Colorado Hospital Association, Dr. Tad-y is responsible for leading the statewide quality and safety initiatives in Colorado hospitals, oversees workforce development including physician engagement, hospital emergency preparedness and innovation. She is a faculty member of CU’s Institute for Healthcare Quality, Safety and Efficiency, authored and co-directed the quality improvement curriculum and annual pre-course for the American College of Physicians, teaches for the Quality and Safety Educators Academy and is an Assistant Editor for the Joint Commission Journal of Quality and Patient Safety. She serves on the Board for the Society of Hospital Medicine and Colorado’s state health information exchange, CORHIO.
Dr. Tad-y earned her medical degree from St. George’s University, completed Internal Medicine residency at NYU Langone Hospital – Brooklyn and hospital medicine fellowship at Johns Hopkins Bayview.
Pubmed publications: https://www.ncbi.nlm.nih.gov/pubmed/?term=Tad-y+darlene
SpeakerJamie Nordhagen, MS, RN, NEA-BC
Senior Director of Patient Flow and Capacity Management, UCHealth
Jamie Nordhagen is the Director of Patient Flow and Capacity Management at the University of Colorado Hospital. Jamie holds a Master of Science from Regis University and is a board-certified Nurse Executive. Jamie has participated in IHI’s Hospital Flow program and has been pivotal in improving hospital flow at UCHealth. Jamie is recognized as a visionary healthcare executive with extensive leadership experience in developing collaborative multidisciplinary teams and highly reliable processes that facilitate high-value patient care delivery.