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Patient Flow

Systems employed to monitor bed/room status and facilitate patient throughput.

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Niel Oscarson
Research Director
KLAS Research Director - Niel Oscarson
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Latest Related Report

Capacity Optimization Management 2023: What Benefits Are Organizations Seeing?) Report Cover Image
Performance
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Capacity Optimization Management 2023: What Benefits Are Organizations Seeing?
27 April 23
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.

Report Abstract

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
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Performance Data

Overall Score by Product

Example Patient Flow overall score by product image

Overall Score by Question Topic

Example Patient Flow overall score by question topic image

Provider Facility Size by Product

Example Patient Flow provider facility size by product image

Provider Facility Type by Product

Example Patient Flow provider facility type by product image
Current Time Inside Cache Tag Helper: 12/10/2024 10:35:32 PM and Model.SegmentId = 84



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Unlike sizing filters, reducing filters DO NOT recalculate scores based on the evaluations that meet these requirements. They narrow the list of solutions to show the vendors and solutions that can meet a specific need.

This data is based on interviews with a sample of the firms' recent clients. As a result, it is not necessarily comprehensive of all work a firm may do in this segment.

We require a minimum of 2 confirmations of a service performed in the last 3 years for a solution to qualify.

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