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2018 Best In KLAS Homecare

2018 Best in KLAS Homecare

Who is Best in KLAS?

Thornberry


How do they score? In five key performance categories

Market Segment Average   Thornberry


Sales & Contracting

Implementation & Training

Functionality & Upgrades

Service & Support

General

50
100

Solutions Not Ranked

Limited Data Products

Score

Home Health (HealthWyse)*

68.8

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

See the latest BEST IN KLAS 2018

2024 Best in KLAS Awards - Global Software
2024 GLOBAL
2024 Best in KLAS Awards - Software and Services
2024 BEST IN KLAS

How do Homecare solutions compare?


Thornberry Logo
NDoc
Konfidence
Average for Homecare74.4
40
 
100
 

2

MEDITECH Logo
Home Care 6.x
 
 

3

WellSky Logo
Kinnser Agency Manager
 
 

4

Epic Logo
EpicCare Home Health
 
 

5

MatrixCare Logo
Brightree iPad POC
 
 

6

Homecare Homebase Logo
Homecare Homebase
 
 

7

Netsmart Logo
Change Healthcare Homecare (McKesson)
 
 

8

Delta Health Technologies Logo
Delta Encore
 
 

9

Netsmart Logo
Homecare (Allscripts)
 
 

10

Oracle Health Logo
Cerner Home and Community Care
 
Software 80.2
 

How do the top three solutions trend?


Thornberry-Thornberry NDoc
MEDITECH-MEDITECH Home Care 6.x
WellSky-Kinnser Agency Manager

Past Homecare Awards

2024
Homecare: Home Health 2024 Health System Owned Health System Owned
Homecare: Home Health 2024 Large - Over 200 Average Daily Census | Independent Large - Over 200 Average Daily Census | Independent
Homecare: Home Health 2024 Small - 0 - 200 Average Daily Census | Independent Small - 0 - 200 Average Daily Census | Independent
2023
Home Health 2023 Health System Owned Health System Owned
Home Health 2023 Large - Over 200 Average Daily Census | Independent Large - Over 200 Average Daily Census | Independent
Home Health 2023 Small - 0 - 200 Average Daily Census | Independent Small - 0 - 200 Average Daily Census | Independent
2022
Home Health 2022 Large - Over 200 Average Daily Census Large - Over 200 Average Daily Census
Home Health 2022 Small - 0 - 200 Average Daily Census Small - 0 - 200 Average Daily Census
2021
Home Health EHR 2021 Large - Over 200 Average Daily Census Large - Over 200 Average Daily Census
Home Health EHR 2021 Small - 0 - 200 Average Daily Census Small - 0 - 200 Average Daily Census
2020
Home Health & Hospice 2020 Large - Over 200 Average Daily Census Large - Over 200 Average Daily Census
Home Health & Hospice 2020 Small - 0 - 200 Average Daily Census Small - 0 - 200 Average Daily Census
2019
Home Health 2019 Home Health
2018
Homecare 2018 Homecare
2017
Homecare 2017 Homecare
2015/2016
Homecare 2016 Homecare
2014
Homecare 2014 Homecare
2013
Homecare 2013 Home Health Home Health
2012
Homecare 2012 Home Health Home Health
2011
Homecare 2011 Homecare
2010
Homecare 2010 Home Health Home Health
Hospice 2010 Hospice Hospice
2009
Hospice 2009 Hospice
Homecare 2009 Homecare
2008
Hospice 2008 Hospice
Homecare 2008 Homecare
2007
Homecare 2007 Homecare
Hospice 2007 Hospice
2006
Homecare 2006 Homecare
Hospice 2006 Hospice
2005
Hospice 2005 Hospice
Home Health 2005 Home Health
Related ReportsView All Reports
Performance
KLAS article icon
MEDITECH 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 MEDITECH Expanse “complete look” provides a high-level analysis of the key products that make up MEDITECH’s enterprise suite. (Other reports in the series do the same for Altera Digital Health [Allscripts] , Epic , Evident , and Oracle Health [Cerner] .) This report focuses on the core Expanse suite; data on MEDITECH’s MAGIC, C/S, and 6.x platforms is excluded.
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
Home-Based Post–Acute Care 2022
10 November 22    |   Cimone Smith and Paul Hess
The homecare market has surged as healthcare organizations have sought to maintain quality patient care throughout the pandemic and fulfill requirements for value-based reimbursement. Organizations are looking to expand their homecare offerings; however, the pandemic has exacerbated staffing shortages and decreased bandwidth, making operations—let alone growth—difficult. To help organizations understand how peers are approaching the current environment, KLAS interviewed 88 leaders from home-based 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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