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Centricity PACS
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Monique Rasband
VP of Imaging & Oncology
KLAS VP of Imaging & Oncology - Monique Rasband
 
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Overall Score    Filtered view: (Small - Under 300K Studies) ##.#   Segment Average ##.#

Average for PACS ##.#
50
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100
Software Average for KLAS Rated Products ##.#

Single Physician

The product does not have 15 surveys from facilities with 2-10 physicians, but has at least 15 when including surveys from single physician facilities.

Component

Solution that typically includes most but not all components that comprise a complete system or that serves only a subset of the market.

Limited market share

This solution does not have a sufficient number of live customers to qualify for a Best in KLAS ranking.

Not primary

Solution is not the vendor’s lead product in the category but may still be purchased.

Regional

Solution for which the majority of data comes from organizations located in the same, small geographical area.

Superseded

Legacy solutions or other solutions that are not generally marketed or whose marketing is superseded by another solution in the same category.

Emerging technology

Solution is new/emerging and has yet to meet standard data level qualifications. Designation will be removed once solution meets the qualifications.

Market Energy

This is an indication of the relative considerations of Market Energy within the shown products from the

Decision Insights KLAS Data

Market Energy Levels:

Low Market Energy
Medium Market Energy
High Market Energy
Not Enough Data

Org Sample Size

  • n = total survey sample size
  • u = # of unique organizations surveyed
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Facility Type
 
 
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Related Reports
Perception
KLAS article icon
Imaging AI 2024
27 November 24    |   Jonathan Christensen and Monique Rasband
The number of FDA-approved AI solutions for imaging has ballooned to over 300 in recent years, and during that time, adoption of various solution types (AI platforms, operational/reporting AI, and pixel AI) has also increased dramatically. Just over 50% of surveyed organizations are starting to use AI algorithms for at least one imaging use case—a significant jump from 2018, when 17% of interviewed organizations were piloting or live with an AI solution. To understand the prevalence of imaging AI adoption, this report draws from interviews with 206 US-based organizations (about 25% are imaging groups; remainder are health systems) and shares an early look at which solutions are most used and considered in this crowded market. Note that this report doesn’t explore customer satisfaction with AI solutions; KLAS intends to address this in future research. Note: This report focuses on AI used for diagnostic imaging, workflow triage, and other imaging-specific use cases. It does not cover general AI tools, including those used for ambient speech or voice recognition.
Perception
KLAS article icon
Imaging in the Cloud 2024
04 June 24    |   Monique Rasband and Sidney Tate
The healthcare imaging market in the US is moving to the cloud—nearly two-thirds of the 228 healthcare organizations surveyed about their cloud road map either are using the cloud for diagnostic image viewing and/or storage or are likely to start using the cloud within the next three years. As organizations transition, it is critical for them to choose a vendor that provides not only a reliable cloud solution but also strategic guidance to ensure a successful migration. Intended to help organizations considering the cloud, this report shares customer perceptions of their vendors’ readiness for the cloud, along with an overview of the state of cloud adoption in the imaging market.
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