Ayesha Kounin et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.9, September- 2014, pg. 564-572
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International Journal of Computer Science and Mobile Computing
A Monthly Journal of Computer Science and Information Technology
ISSN 2320–088X
IJCSMC, Vol. 3, Issue. 9, September 2014, pg.564 – 572
RESEARCH ARTICLE
IEHRC - An Approach towards
Interoperable E-Health Records over
Cloud using ECHISTAR
Ayesha Kounin
1
, Mohammed Ali Shaik
2
, K.Pranav Kumar
3
¹Pursuing M.Tech in CSE & JNTU Hyderabad, India
²Department of CSE ARTI, Warangal, Telangana, India
³Department of CSE ARTI, Warangal, Telangana, India
1
ayeshakounin2015@gmail.com,
2
niharali@gmail.com,
3
pranavkumar47@gmail.com
Abstract-- We propose and present a cloud-based approach for designing an interoperable electronic health
record (EHR) system implemented in a cloud computing environment that provides several benefits to all the
stakeholders or end users among healthcare ecosystem such as patients or providers or payers, etc. Due to
lack of data interoperability standards in society proposals of solutions are been considered to be major
obstacle in the sharing of healthcare data between different stakeholders. Here in this paper we propose a
system that is ECHISTAR: Electronic cloud health information systems technology architecture that
achieves electronic semantic interoperability through the use of a generic design methodology that uses a
reference model which defines a general purpose set of data structures and architecture type oriented models
that define the clinical data attributes. ECHISTAR application components are designed by using the cloud
component model approach that consists of loosely coupled components that communicate asynchronously
with one another in a brokered fashion by using an approach for electronic semantic interoperability, data
integration, and essential security.
Keywords— EHR, data integration, electronic health records, healthcare
I. INTRODUCTION
Electronic ecosystem consists of distinct healthcare providers such as doctors, physicians, consultants,
specialists, etc. and distinct areas of end-users or payers such as health insurance companies, pharmaceutical
companies, IT recruiter firms, and of course patients. The process includes provision of massive healthcare data
that is available in the form of structured data and unstructured data on dissimilar data sources such as relational
databases, file servers, flat files, etc. and in various formats. When a patient is admitted to a hospital, his or her
information is entered as input to electronic health record (EHR) systems after which the physicians diagnose
the patient and the diagnostic information from medical devices such as CT scanners or MRI scanners, etc. are