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.
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