Segment Winner
Konfidence
2yr Trend
N/A
Average Segment Score91.9
50
iMethods
100
A+
--
A+
A+
A
2
Konfidence
2yr Trend
N/A
314e
A+
A+
A-
A
A+
3
Konfidence
2yr Trend
S&P Consultants
A
--
A
A
A
4
Konfidence
2yr Trend
Divurgent
A
A
A
B+
A
5
Konfidence
2yr Trend
Pivot Point Consulting, a Vaco Company
A+
A-
A
A
A-
6
Konfidence
2yr Trend
Navin, Haffty & Associates (NHA)
A
--
A-
A
A
7
Konfidence
2yr Trend
Optimum Healthcare IT
A
A
A
A-
A
8
Konfidence
2yr Trend
Oxford Global Resources
A
A-
A-
A-
A
9
Konfidence
2yr Trend
ettain health
A
A+
B
B+
A
10
Konfidence
2yr Trend
Healthcare IT Leaders
A
A-
A
B+
A-
11
Konfidence
2yr Trend
Medasource
A
B+
A-
B
A-
12
Konfidence
2yr Trend
CSI Healthcare IT
A
A-
A
B
A-
13
Konfidence
2yr Trend
Nordic
A
A-
B
B+
A-
14
Konfidence
2yr Trend
Huron
B+
A+
A-
B+
A-
15
Konfidence
2yr Trend
Impact Advisors
A-
B+
B
B+
B+
16
Konfidence
2yr Trend
Mediant Health Resources
A-
--
C
B+
A-
17
Konfidence
2yr Trend
The HCI Group
B+
B+
B-
B-
A-
18
Konfidence
2yr Trend
Atos
C+
A
A-
B
B+
19
Konfidence
2yr Trend
HCTec
Professional Services 88.1
B+
B-
B-
B-
B+
Solutions Not Ranked
Limited Data Products
Score
91.7
81.4
86.9
75.1
90.9
93.6
97.1
96.2
57.4
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
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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.