2020 KLAS Category Leader Home Health & Hospice (Small - 0 - 200 Average Daily Census)


Segment Winner

 
 
2yr Trend
 
Culture
Loyalty
Operations
Product
Relationship
Value
Thornberry Logo
Konfidence
2yr Trend
Average Segment Score77.9
50
NDoc
 
100
Culture
A+
Loyalty
A-
Operations
B+
Product
A
Relationship
A
Value
B+
 
 

2

MatrixCare Logo
Konfidence
2yr Trend
N/A
Brightree Home Health & Hospice
 
Culture
A-
Loyalty
A
Operations
B+
Product
A-
Relationship
A-
Value
B
 
 

3

MEDITECH Logo
Konfidence
2yr Trend
N/A
Home Care
 
Culture
B+
Loyalty
B-
Operations
C
Product
B-
Relationship
B+
Value
B
 
 

4

WellSky Logo
Konfidence
2yr Trend
N/A
Kinnser Software Wellsky Home Health (Kinnser)
 
Software 81.1
Culture
C-
Loyalty
C+
Operations
C-
Product
C
Relationship
F
Value
C
 
 

Solutions Not Ranked

Limited Data Products

Score

Home and Community Care *

57.6

Homecare Advisor (Change Healthcare) *

65.8

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

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Want more insights into this segment?

More information about Home Health & Hospice(Small - 0 - 200 Average Daily Census) is available via the following KLAS products:

Past Home Health & Hospice Awards

Related ReportsView All Reports

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.