2019 Best in KLAS Overall Enterprise Software Suite


Segment Winner

 
 
2yr Trend
 
Culture
Loyalty
Operations
Product
Relationship
Value
Epic Logo
Konfidence
2yr Trend
N/A
40
Epic
 
100
Culture
B+
Loyalty
A-
Operations
B
Product
B+
Relationship
B+
Value
B
 
 

2

athenahealth Logo
Konfidence
2yr Trend
N/A
Athenahealth
 
Culture
C
Loyalty
B+
Operations
C+
Product
C+
Relationship
C
Value
B
 
 

3

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

4

Cerner Logo
Konfidence
2yr Trend
N/A
Cerner
 
Culture
C-
Loyalty
C-
Operations
C+
Product
C
Relationship
C
Value
C
 
 

5

Allscripts Logo
Konfidence
2yr Trend
N/A
Allscripts
 
Culture
C-
Loyalty
C
Operations
C-
Product
C
Relationship
C+
Value
D+
 
 

6

Allscripts Logo
Konfidence
2yr Trend
N/A
Allscripts
 
Culture
C-
Loyalty
D
Operations
C-
Product
D+
Relationship
C
Value
D-
 
 

7

MEDHOST Logo
Konfidence
2yr Trend
N/A
MEDHOST
 
Culture
D
Loyalty
D
Operations
C
Product
C-
Relationship
C-
Value
D
 
 

8

CPSI Logo
Konfidence
2yr Trend
N/A
CPSI
 
Software 81.2
Culture
D
Loyalty
F
Operations
D
Product
D-
Relationship
C-
Value
F
 
 
Light Bulb

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More information about Overall Enterprise Software Suite is available via the following KLAS products:

Past Overall Enterprise Software Suite Awards

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.