Who is Best in KLAS?



How do they score? In five key performance categories

Market Segment Average   athenahealth


Sales & Contracting

Implementation & Training

Functionality & Upgrades

Service & Support

General

50
100

Solutions Not Ranked

Limited Data Products

Score

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

2025 Best in KLAS Awards - Global Software
2025 GLOBAL
2025 Best in KLAS Awards - Software and Services
2025 BEST IN KLAS

How do Ambulatory EMR solutions compare?


athenahealth Logo
athenaClinicals
Konfidence
Average for Ambulatory EMR71.2
50
 
100
 

2

Epic Logo
EpicCare Ambulatory EMR
 
 

3

CompuGroup Medical US Logo
Aprima EHR
 
 

4

Nextech Logo
SRS Health EHR
 
 

5

Veradigm Logo
Allscripts Professional EHR
 
 

6

Oracle Health Logo
Cerner PowerChart Ambulatory
 
 

7

NextGen Healthcare Logo
EHR
 
 

8

athenahealth Logo
GE Healthcare Centricity Practice Solution EMR
 
 

9

eClinicalWorks Logo
EHR
 
 

10

Greenway Health Logo
Prime Suite (EHR)
 
 

11

Altera Digital Health Logo
Allscripts TouchWorks EHR
 
Software 80.2
 

How do the top three solutions trend?



Past Ambulatory EMR 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.
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