ACHE Congress Lunch & Learn:
Unlocking Enterprise Capacity with AI: Transforming Operations to Improve Access and Performance
DATE | TIME | LOCATION |
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Monday, March 2 | 11:45am –
1:45pm CT | Room 310C
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Health systems are being asked to expand access and improve performance amid rising demand, constrained labor, and mounting financial pressure, often without adding physical capacity. Yet many organizations remain limited not by a lack of resources, but by fragmentation: disconnected governance, siloed decision-making, and inconsistent workflows across sites and service lines.
Join fellow healthcare leaders for a Lunch & Learn featuring two health system executives who are advancing enterprise alignment to improve capacity, access, and operational performance at scale.
Chris Hunt, MBA, MSHA, BSN, RN, CSSM, NEA-BC, AVP of Perioperative Services at MultiCare Health System, will share how MultiCare addressed variation and misalignment in surgical operations across 13 hospitals. Instead of addressing these challenges locally, MultiCare built a systemwide playbook to align operations across the enterprise. Chris will walk through how standardized governance and workflows, shared access principles across facilities, and real-time data and AI helped uncover and reallocate hidden operating room time—driving a 25% increase in staffed-room utilization and enabling more than 3,200 additional cases in a year without adding operating rooms. He’ll also cover how enterprise capacity and workforce management helped reduce delays, eliminate repetitive work, and improve EBITDA performance.
Together, these executives offer practical, scalable strategies for moving from fragmented operations to enterprise alignment, showing how shared governance, real-time visibility, and smart use of data can unlock hidden capacity, improve access, and drive measurable performance outcomes across today’s most complex health systems.
Clare Lee, MBA, FACHE, Vice President of Professional and Support Services, Cedars-Sinai, will share how Cedars-Sinai took an enterprise approach to capacity management with the help of AI. Leaders aligned governance and real-time decision-making across perioperative services, inpatient flow, and infusion operations to reduce variability, improve throughput, and better match staffing to demand. Results include stabilizing staffed-room utilization by over 80% while completing more than 2,500 cases per month without adding staffed operating rooms; increasing discharge volume by more than 3% versus baseline while reducing discharge processing times by up to one hour for departure-lounge patients and more than doubling lounge utilization; and supporting 5–6% year-over-year infusion growth while maintaining average patient wait times of under 10 minutes.