Overcoming Coverage and Operational Challenges in Anesthesia

Speakers

A man in a suit and tie smiles at the camera in a formal portrait against a plain, light blue background, embodying professionalism ideal for roles in anesthesia operations optimization.
Attila Kett, MD, MBA, FASA
Chair, Department of Anesthesiology, Northern Westchester Hospital; Regional Director, Obstetric Anesthesia Service Line, Northwell Health
A man wearing a navy suit, light blue shirt, and striped tie stands in front of a plain light-colored background, ready to discuss anesthesia operations optimization.
Sabatino Leffe, DO
Eastern Region Operations Director, Anesthesiology, Northwell Health
A man with medium-length dark hair and a beard stands outside, looking at the camera—his thoughtful expression hints at his focus on anesthesia operations optimization. Sunlight and trees are visible in the background.
Justin Spector
Director, Product Management, iQueue for Operating Rooms, LeanTaaS
A man with short gray hair, wearing a dark blue suit jacket and a white dress shirt, smiles at the camera in front of a plain white background, projecting confidence often seen in leaders focused on improving healthcare profit margins.
Mohan Giridharadas
Founder and CEO, LeanTaaS

Summary

Modern anesthesia departments face increasingly complex challenges in managing coverage across traditional operating rooms and non-operating room anesthesia (NORA) locations. This roundtable discussion brings together leading experts to explore innovative approaches to these operational challenges through the lens of advanced analytics and technology solutions.

In this session, Dr. Attila Kett, Chairman of Anesthesiology at Northwell Health, and Dr. Sabatino Leffe, Eastern Region Operations Director of Anesthesiology, share insights on transforming anesthesia operations through data-driven approaches. This session will explore how departments can leverage predictive analytics and innovative scheduling solutions to optimize provider utilization and resource allocation across multiple care settings.

Discussion Points

  • Strategic resource allocation across expanding service locations (OR vs. NORA vs. ASCs)
  • Predictive analytics for department-wide staffing needs and resource planning
  • Technology integration for improved operational efficiency and provider utilization
  • Data-driven approaches to scheduling optimization and resource management

Learning Objectives

  1. Understand how advanced analytics can improve forecasting accuracy for staffing needs
  2. Learn strategies for maintaining quality while managing costs across multiple locations
  3. Explore solutions for better operational alignment between different care settings
  4. Gain insights into implementing technology-driven scheduling and staffing solutions

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