Who is Best in KLAS?



How do they score? In five key performance categories

Market Segment Average   Epic


Sales & Contracting

Implementation & Training

Functionality & Upgrades

Service & Support

General

50
100

Solutions Not Ranked

Limited Data Products

Score

e-MDs Chart*

72.9

LSS MPM*

66.6

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

GE Healthcare Centricity EMR* [NP]*

73.1

*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 Ambulatory EMR solutions compare?


Epic Logo
EpicCare Ambulatory EMR
Konfidence
Average for Ambulatory EMR71.4
30
 
100
 

2

Nextech Logo
SRSsoft EHR
 
 

3

athenahealth Logo
athenaClinicals
 
 

4

Greenway Health Logo
Greenway PrimeSUITE Chart
 
 

5

eClinicalWorks Logo
EHR
 
 

6

athenahealth Logo
GE Healthcare Centricity Practice Solution EMR
 
 

7

Veradigm Logo
Allscripts Professional EHR
 
 

8

NextGen Healthcare Logo
EHR
 
 

9

Altera Digital Health Logo
Allscripts TouchWorks EHR (Enterprise)
 
 

10

CompuGroup Medical US Logo
McKesson Practice Partner
 
Software 80.5
 

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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