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Nurse & Staff Scheduling 2021
First Look at Workload Balancing
Author
Niel Oscarson
Author
Emily Paxman
Author
Ciera Walker
Current Time Inside Cache Tag Helper: 3/25/2023 8:13:22 AM and Model.reportId = 1818
As one of healthcare organizations’ largest operational costs, staffing is a top-of-mind concern. Though not yet widely used, workload balancing can provide insight into staffing gaps and help organizations make equitable assignments based on census data, patient acuity, and staff credentials. This report examines the customer experience of current workload balancing users to help organizations that are considering the tools understand the potential benefits and pitfalls and which nurse and staff scheduling vendors have experience with organizations of their size.if you don't have a login, getting started is easy.
Key Findings:
- symplr ShiftSelect & HealthStream ANSOS Lead in Handling Complexity of Short-Term Analytics; Cerner Excels with Same-Day Data
- Vast Majority See Positive Outcomes with Workload Balancing, Especially with Avantas & symplr ShiftSelect
- Avantas Customers Report Significant Improvements to Training/Support
- Flexible Solution & Exceptional Support from HealthStream ANSOS Drive Customer Success with Workload Balancing
- UKG Customers Say Success Is Mostly Self-Driven, Due in Part to Rocky Implementations
- Avoiding Common Workload Balancing Pitfalls—Advice from Current Users
- Vendor Insights
Writer
Elizabeth Pew
Designer
Jess Wallace-Simpson
Project Manager
Natalie Jamison
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. © 2023 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.