After this session you’ll be able to:

1. Discuss why conventional metrics (block utilization, first case on-time starts, turnover time, etc.) are not the best metric for measuring OR utilization.
2. Describe how to communicate the value of using a more data-driven metric called “Collectable Time” to measure and improve OR block utilization.
3. Identify how predictive analytics, machine learning, and mobile technologies have been used at UCHealth, OhioHealth and other providers to improve OR performance by over $400,000 per OR per year.

Why this is important:

OR time plays a vital role in each hospital system, and maximizing opportunities to improve access to the OR is a significant concern. Block time utilization may be a struggle in a lot of hospital systems. As such, it may be beneficial for perioperative leaders to consider implementing a data analytics strategy. During this program, Ashley Walsh will explore OR time from an administrative perspective. Through this practice, she will introduce attendees to the concept of collectable time as an effective strategy for decision making, a strategy that they can bring home to their own surgical suites.

Sponsor(s):