Inefficient surgeon scheduling led to underutilization, long patient wait times, and frustration

AI-powered scheduling agent optimized schedules based on surgeon availability, patient needs, and procedure complexity.
20%
increase in surgeon utilization
10%
reduction in patient wait times
5%
decrease in surgery cancellations

What was the goal?

A prominent medical group faced challenges with managing surgeon schedules, which were often complex and prone to inefficiencies. This led to underutilization of surgeons, long patient wait times, and frustration among both surgeons and patients. The medical group sought a solution to optimize scheduling processes, improve surgeon utilization, and reduce patient wait times.

They sought the expertise of Nexa Revive to revitalize their business and achieve sustainable growth in the digital realm.

Solution:

The medical group implemented an AI-powered surgeon scheduling agent to automate the process of scheduling surgeries.

The agent was trained on historical data and was able to consider various factors, such as surgeon availability, patient needs, and procedure complexity, to create optimized schedules.

Results:

  • 20% increase in surgeon utilization.
  • 10% reduction in patient wait times for surgery.
  • 5% decrease in surgery cancellations.
  • Summing up

    By embracing AI-powered surgeon scheduling, the medical group successfully optimized its scheduling processes, improved surgeon utilization, and reduced patient wait times. This case study demonstrates the potential of AI to improve operational efficiency in healthcare, leading to better patient care and financial benefits.

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