Paper Info
Title
Knowledge Acquisition for Electronic Health Records on cloud.
Abstract
Every Electronic Health Record (EHR) System has functionalities which protect patient's data and drug related information prescribed at the time of medical diagnosis. Decision support system capabilities of the system provide necessary paperless handling support for the health information of a large number of patients. The extensive search on the practice of medical data indicates that there is a steep trend in the electronic health record usage. There is quite a number of EHR software available which are used as a Service globally, but many practitioners are not aware of selecting the right EHR SaaS product. Hence, there is a need to identify the best EHR SaaS from a pool of Software service products. To enhance the search of getting the best possible EHR SaaS product in this paper, researchers have adapted the novel way of using predefined attributes of these products and finding the relationship between them. Further, they are grouped into clusters depending on the rating, customer reviews, record of attested customers, eligible user professionals are guided in selecting a particular EHR SaaS. (c) 2017 The Authors. Published by Elsevier B.V.
Year
DOI
Venue
2017
10.1016/j.procs.2017.08.031
Procedia Computer Science
Keywords
Field
DocType
Cloud computing,Software as a Service (SaaS),Electronic Health Record (HER),knowledge computing
Data mining,World Wide Web,Service (systems architecture),Computer science,Decision support system,Software as a service,Software,Medical record,Medical diagnosis,Knowledge acquisition,Cloud computing
Conference
Volume
ISSN
Citations 
112
1877-0509
1
PageRank 
References 
Authors
0.41
4
3
Name
Order
Citations
PageRank
Dhanamma Jagli111.09
Seema Purohit253.47
Chandra, S.312841.31