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Capacity Optimization Management 2023 Capacity Optimization Management 2023
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Capacity Optimization Management 2023
What Benefits Are Organizations Seeing?

author - Niel Oscarson
Niel Oscarson
author - Jennifer Hickenlooper
Jennifer Hickenlooper
author - Marcus Hadfield
Marcus Hadfield
April 27, 2023 | Read Time: 5  minutes

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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Key Findings:

  1. Market Overview: What Is Capacity Optimization Management?
  2. Strong Relationships from LeanTaaS Drive Value; Early Feedback on Qventus Also Shows Positive Impacts
  3. EMR Vendor Epic Highlighted for Integration, Out-of-the-Box Functionality; Customers Want Additional Enhancements in the Future
  4. TeleTracking & Care Logistics (Limited Data) Increase Patient Throughput; Implementation & Training Are Opportunities for Improvement
author - Sarah Hanson
Sarah Hanson
author - Bronson Allgood
Bronson Allgood
author - Ally Dove
Project Manager
Ally Dove
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This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2024 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.

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