Stop Leaning on Averages
Why Case Length Prediction Is the New OR Battleground
Average-based scheduling can make OR plans look accurate, until the day starts.
Watch this on-demand webinar to learn why case-length prediction is becoming a critical tool for perioperative leaders looking to reduce scheduling variability, improve block utilization, and make better planning decisions.
Watch the Webinar
Key Takeaways
After watching the webinar, you’ll understand:
Average-based scheduling creates hidden risk
Historical averages can make an OR schedule look accurate on paper, but they often miss the real variables that affect case duration.
Variability starts before the day begins
Late-running rooms, early finishes, staff overtime, and unused block time are often symptoms of inaccurate planning inputs.
Case-length prediction gives teams a better starting point
AI-powered prediction helps teams forecast case duration using more relevant data, not just broad historical averages.
Better predictions support better operational decisions
More accurate case-length estimates can help with block utilization, staffing plans, add-on case opportunities, and throughput.
AI should fit into existing perioperative workflows
The value is not just the prediction itself. It is how teams use that prediction in scheduling conversations, block planning, and day-to-day OR management.
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What You’ll Learn
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Why average-based scheduling creates avoidable variability
See how relying on historical averages can lead to both overbooked and underfilled OR blocks.
How AI case-length prediction works
Learn how prediction-based scheduling uses real case-level variables to create a more accurate forecast.
Where better predictions can improve OR performance
Understand how more accurate case-length estimates can support block utilization, staffing, add-on case decisions, and throughput.
How to start the conversation internally
Get practical ways to bring AI-powered scheduling into operational discussions with perioperative leaders, surgeons, and block committees.
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Why This Webinar Matters
Every OR schedule is a forecast.
When that forecast is based on averages, teams are often starting the day with inaccurate assumptions. That can lead to late-running rooms, unused block time, overtime, and missed opportunities to add cases.
AI case-length prediction gives teams a more accurate planning input, helping them make better decisions before the day starts.
Featured Speakers
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Amy Waldrup
PhD, MSN, RN, NEA-BC
Nurse Executive, Opmed
Amy brings deep perioperative and nursing leadership experience, with a focus on OR operations, block utilization, throughput, and healthcare performance improvement.
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Matthew Ruby
MHA
Executive Director of Perioperative Solutions, Opmed
Matthew works with health systems on AI case-length prediction, OR optimization, and capacity planning, helping teams turn predictive analytics into practical scheduling decisions.
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