2017 Category Leader Clinical Documentation Improvement Services (CDI)

2017 KLAS Category Leader Clinical Documentation Improvement Services (CDI)

Who is theKLAS Category Leader?



How do they score? In five key performance categories

Market Segment Average   PwC


Sales & Contracting

Implementation & Training

Service & Support

General

50
100

Solutions Not Ranked

Limited Data Products

Score

Deloitte*

91.4

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

nThrive MedAssets [NP]*

87.6

*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 Clinical Documentation Improvement Services (CDI) solutions compare?


PwC Logo
PwC
Konfidence
Average for Clinical Documentation Improvement Services (CDI)84.5
50
 
100
 

2

nThrive Revenue Systems, LLC Logo
nThrive Precyse
 
 

3

Guidehouse (formerly Navigant) Logo
Navigant
 
 

4

Advisory Board, an Optum Company Logo
Advisory Board
 
 

5

Nuance Logo
Nuance Clintegrity CDI
 
 

6

Huron Logo
Huron Consulting
 
 

7

3M Logo
3M
 
Professional Services 88.1
 

Past Clinical Documentation Improvement Services (CDI) 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.