2025 Best In KLAS Capacity Optimization Management

Performance

Capacity Optimization Management 2023

27 April 23 | Marcus Hadfield and Niel Oscarson

Operational limitations—such as staffing shortages, variable patient flow, and poor visibility into resource availability—can make it difficult for healthcare organizations to effectively manage their capacity, leading to volatile workloads that see resources either under- or overutilized. Some organizations are using capacity optimization management technology, which includes artificial intelligence (AI) and machine learning (ML), to collect data that can improve resource management, especially regarding the utilization of scarce assets like operating rooms, inpatient beds, and infusion centers. This report—KLAS’ first to focus on capacity optimization management—shares what technology is being used and what outcomes it is driving for customers.

	Overall performance score (100-point scale)	Trend (2024-2025)	# of unique orgs	Culture	Loyalty	Operations	Product	Relationship	Value

LeanTaaS iQueue Suite	95.6	0%	19	A+	A+	A	A	A+	A+

Qventus Qventus Solutions	92.1	N/A	16	A	A+	B	A-	A+	A
	0.0	100.0

Capacity Optimization Management

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