Who is theKLAS Category Leader?



How do they score? In five key performance categories

Market Segment Average   MEDITECH


Sales & Contracting

Implementation & Training

Functionality & Upgrades

Service & Support

General

50
100

Solutions Not Ranked

Limited Data Products

Score

Cerner Soarian Financials (Siemens)*

67.8

Epic Resolute Hospital Billing*

81.1

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

2021 Best in KLAS Awards - Global Software
2021 GLOBAL
2021 Best in KLAS Awards - Software and Professional Services
2021 BEST IN KLAS

How do Patient Accounting and Patient Management solutions compare?


MEDITECH Logo
MEDITECH C/S Patient Accounting
Konfidence
Average for Patient Accounting and Patient Management74.9
50
 
100
 

2

Allscripts Logo
McKesson Paragon Financials
 
 

3

CPSI Logo
Evident Patient Management (CPSI)
 
 

4

CPSI Logo
Healthland Centriq Financials
 
 

5

Cerner Logo
Cerner Patient Accounting/CommunityWorks Financials
 
 

6

Harris Healthcare Logo
QuadraMed Affinity Financials
 
 

7

MEDHOST Logo
MEDHOST Enterprise Financials
 
Software 80.2
 

Past Patient Accounting and Patient Management Awards

Related Reports View 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.