How Today’s Health Systems are Tackling Tough Operating Room Operational Issues: Explore the Challenges, Approaches, and Results


Hospitals commonly grapple with an array of operational challenges that significantly impact overall efficiency and staff satisfaction. Poor block utilization leads to underutilized operating rooms, inefficient resource allocation, and difficulty accommodating large surgical volumes. Staffing challenges remain a persistent issue as it becomes challenging to align personnel with fluctuating demand. Surgeon dissatisfaction may arise from scheduling conflicts and a lack of trust in data. 

Health systems such as CommonSpirit and Novant Health are now tapping into predictive & prescriptive machine learning analytics to address these challenges. Using a new data-driven and strategic approach, these organizations are able to enhance block utilization, streamline scheduling processes, optimize resources like staff and robots, and accommodate varying surgical volumes to improve overall perioperative performance.

Download this case study booklet to learn how 100 health systems from across the country are using this strategy to optimize OR performance and achieve the following results:
 
  • Perform 30-50 more cases per year
  • Increase block utilization by up to 20%
  • Increase robot utilization by 45%
  • Increase case volume by 10% or more without opening additional rooms
  • Generate 5-20x ROI based on contribution margin
     

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