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2020 Best in KLAS Long-Term Care


2020 Best In KLAS Long-Term Care

Segment Winner

 
 
Konfidence
2yr Trend
 
Culture
Loyalty
Operations
Product
Relationship
Value
PointClickCare Logo
Konfidence
2yr Trend
Average Segment Score75.7
40
 
100
Culture
A-
Loyalty
A+
Operations
A-
Product
B+
Relationship
B
Value
C+
 
 

2

MatrixCare Logo
Konfidence
2yr Trend
 
Culture
C
Loyalty
B-
Operations
C+
Product
B-
Relationship
B-
Value
C
 
 

3

Oracle Health Logo
Konfidence
2yr Trend
Cerner PowerChart LTC
 
Culture
C-
Loyalty
C+
Operations
C
Product
C
Relationship
B-
Value
C-
 
 

4

Netsmart Logo
Konfidence
2yr Trend
Long-Term Care (HealthMEDX)
 
Software 81.1
Culture
F
Loyalty
D
Operations
D
Product
D
Relationship
F
Value
F
 
 

Solutions Not Ranked

Limited Data Products

Score

CPSI American HealthTech *

64.4

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

*Does not meet minimum KLAS Konfidence level.

Trend does not include the Best KLAS score

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More information about Long-Term Care is available via the following KLAS products:

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Past Long-Term Care Awards

2024
Long-Term Care 2024 Long-Term Care
2023
Long-Term Care 2023 Long-Term Care
2022
Long-Term Care 2022 Long-Term Care
2021
Long-Term Care 2021 Long-Term Care
2020
Long-Term Care 2020 Long-Term Care
2019
Long-Term Care 2019 Long-Term Care
2018
Long-Term Care 2018 Long-Term Care
2017
Long-Term Care 2017 Long-Term Care
2015/2016
Long-Term Care 2016 Long-Term Care
2014
Long-Term Care 2014 Long-Term Care
2013
Long-Term Care 2013 Long-Term Care
2012
2011
Long-Term Care 2011 Long-Term Care
2010
Long-Term Care 2010 Long-Term Care
2009
2008
Long-Term Care 2008 Long-Term Care
2007
Long-Term Care 2007 Long-Term Care
2006
Long-Term Care 2006 Long-Term Care
2005
Long-Term Care 2005 Long-Term Care
Related ReportsView All Reports
Performance
KLAS article icon
Oracle Health (Cerner) Complete Look 2023
18 July 23    |   Paul Warburton and Tyson Blauer
When making a core HIT purchasing decision, healthcare organizations must take into account how prospective partners deliver across a variety of key technology areas. This Oracle Health (Cerner) “complete look” provides a high-level analysis of the key products that make up Oracle Health’s enterprise suite. (Other reports in the series do the same for Altera Digital Health [Allscripts] , Epic , Evident , and MEDITECH .)
Performance
KLAS article icon
Epic Complete Look 2023
18 July 23    |   Paul Warburton and Tyson Blauer
When making a core HIT purchasing decision, healthcare organizations must take into account how prospective partners deliver across a variety of key technology areas. This Epic “complete look” provides a high-level analysis of the key products that make up Epic’s enterprise suite. (Other reports in the series do the same for Altera Digital Health [Allscripts] , Evident , MEDITECH , and Oracle Health [Cerner] .)
Perception
KLAS article icon
Transitions of Care 2022
29 December 22    |   Bradley Hunter and Paul Warburton
Inefficient care transitions lead to wasted time and energy, increased risk of human error, and potentially poor experiences for both patients and providers. Despite the industry’s attempts to ensure the right information is sent to the right people at the right time, healthcare organizations must often revert to manual processes for data entry, verification, and communication. Some organizations use or want to use technology to streamline their transitions of care (TOC). This report—KLAS’ first to look at TOC—draws from the perspectives of 95 healthcare leaders across multiple care settings to understand their adoption of care transition technology, the challenges they encounter in their care settings, and the vendors they are considering.
Perception
KLAS article icon
Facility-Based Post–Acute Care 2022
10 November 22    |   Cimone Smith and Paul Hess
The COVID-19 pandemic brought a wave of challenges to facility-based post–acute care organizations (i.e., SNFs, LTCHs, and IRFs). Staffing has become a particular pain point, with organizations citing burnout, increased competition with staffing firms, and intensive patient care for severe COVID-19 cases as contributing factors. To help organizations understand how peers are approaching the current environment, KLAS interviewed 82 leaders from facility-based post–acute care organizations regarding the top challenges they face and the technology vendors they use or have considered investing in to address these challenges.
Performance
KLAS article icon
Post–Acute Care EMR Product Suites 2022
30 August 22    |   Paul Hess and Paul Warburton
Most providers in post–acute care settings want technology built for their specific area, but they face challenges with interoperability, analytics, value-based reimbursements, and care coordination. Increasingly, organizations are looking for vendors that can meet all their post–acute care needs. Several vendors are answering the call, despite the highly varied, unique challenges associated with each care setting. This report examines what solutions are offered, how they are being adopted, and how well they meet setting-specific functionality needs (particularly for home health and LTC/SNF). The report mainly focuses on vendors specific to post–acute care but also provides a brief look at the post–acute care solutions of enterprise acute care EMR vendors.

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
-
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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