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2020 KLAS Category Leader IV Workflow Management


2020 Category Leader IV Workflow Management

Segment Winner

 
 
Konfidence
2yr Trend
 
Culture
Loyalty
Operations
Product
Relationship
Value

Solutions Not Ranked

Limited Data Products

Score

Pyxis IV Prep (CATO) *

76.3

Component [C], Not Primary [NP], Regional [R] or Limited Market Share [MS]

IV Dispense Prep (Limited Reporting and Verification) * [C]*

83.6

*Does not meet minimum KLAS Konfidence level.

Trend does not include the Best KLAS score

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Want more insights into this segment?

More information about IV Workflow Management is available via the following KLAS products:

Circle Check Mark
Specialty Reports
Circle Check Mark
User Commentary

Past IV Workflow Management Awards

2024
IV Workflow Management 2024 IV Workflow Management
2023
IV Workflow Management 2023 IV Workflow Management
2022
IV Workflow Management 2022 IV Workflow Management
2021
IV Workflow Management 2021 IV Workflow Management
2020
IV Workflow Management 2020 IV Workflow Management
2019
IV Workflow Management 2019 IV Workflow Management
2018
IV Workflow Management 2018 IV Workflow Management
2017
IV Workflow Management 2017 IV Workflow Management
2015/2016
2014
2013
2012
IV Workflow Management 2012 IV Workflow Management
2011
IV Workflow Management 2011 IV Workflow Management
2010
IV Workflow Management 2010 IV Workflow Management

Konfidence

Konfidence level
Konfidence Level Description
Products must have at least 30 live organizations participating for software and at least 15 live organizations for professional services. Exception to this is Transcription Services (30).
Products must have at least 20 live organizations participating for software and at least 10 live organizations for professional services. Exception to this is Transcription Services (20).
Products must have at least 15 live organizations participating for software and at least 6 live organizations for professional services. Exception to this is Transcription Services
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The Konfidence level on this product rating is low. These results are for early trend detection. As more performance data is received, the result is likely to have a wide variance.
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