Hospital Capacity Reimagined to Solve Access Challenges and Boost the Bottom Line

Speakers

Smiling woman with long blonde hair wearing a white shirt and black blazer, standing in front of a plain light-colored background, representing innovation in AI for hospital capacity.
Carleigh Gustafson
Deputy COO for Intrasystem Clinical Operations, Mount Sinai Health System
A man with short red hair, a beard, and glasses wearing a suit and tie stands in front of a gold geometric patterned background, presenting on AI for hospital capacity.
Greg Fratantoni, MBA, FACHE
System Director of Performance Improvement and Performance Excellence, CHRISTUS Health
A man in a dark suit jacket and light blue shirt smiles at the camera against a plain gray background, embodying confidence as he represents advances like AI for hospital capacity.
Eric L. Conley
President, Acute & Post-Acute at Sentara Health
A man with short brown hair and a beard, dressed in a black suit, white shirt, and black tie, stands in front of a blurred outdoor background, representing innovation in AI for hospital capacity solutions.
Jon McManus
Chief Data, AI, and Software Development Officer, Vice President, Sharp HealthCare
A woman with curly gray hair and glasses, wearing a bright blue top and a silver necklace, smiles at the camera against a plain light background—embodying confidence in AI for hospital capacity solutions.
Bethany Daily
Executive Director, Perioperative Services and Healthcare System Engineering, Massachusetts General Hospital
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

This session will bring together a panel of healthcare leaders to explore innovative approaches to addressing hospital capacity challenges. The discussion will focus on strategies for achieving operational efficiency, integrating advanced technologies like AI, and redesigning care delivery models to optimize resource utilization while enhancing patient and staff satisfaction. Panelists will share actionable insights into creating centralized operational hubs, harmonizing data-driven decision-making, and implementing effective change management strategies to improve patient outcomes and financial performance while navigating labor shortages and system-wide constraints.

Key Learning Objectives:

  1. Explore Capacity Optimization Strategies: Understand how health systems can enhance resource allocation by redesigning care models, centralizing clinical and logistical operations, and utilizing AI for better decision-making.
  2.  Learn Effective Change Management Approaches: Discover how to foster organizational buy-in for operational changes by engaging frontline staff, securing executive sponsorship, and focusing on impactful, sustainable solutions.
  3.  Identify Ways to Improve Patient Flow and Staff Utilization: Gain knowledge about streamlining patient throughput, optimizing staff assignments, and ensuring consistent quality across varied care settings to boost patient outcomes and workforce satisfaction.

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