Readable CDA Document for Generation and Integration in Cloud Using APIs

Authors(1) :-E. Ravi

Successful distribution of Electronic Health Record is helping get well victim assurance and good quality of tend, however it has the essential of interoperability in the seam Health Information Exchange at the different hospitals. The Clinical Document Architecture (CDA) matured by HL7 is often a thrust register usual to make sure similar interoperability, and breeding of this one cite format is critical for interoperability. Unfortunately, hospitals are reluctant to adopt interoperable HIS due to its distribution cost except for in a handful countries. A problem arises even when more hospitals start the use of the CDA cite format because the testimony scattered in the different logs are hard to manage. In the aforementioned one study, we characterize our CDA register time and assimilation Open API employment in line with shower computing, by which hospitals are enabled to with ease spawn CDA chronicles with no need to redeem tract spreadsheet. Our CDA cite union process integrates a couple of CDA registers per subject right into a particular CDA register and physicians and cases can scan the unemotional picture in historical tell. Our arrangement of CDA register period and mixture is in keeping with perplex computing and the benefit is available in Open API. Developers the use of the several platforms hence can use our technique to strengthen interoperability.

Authors and Affiliations

E. Ravi
Associate Professor, CSE Department, Khader Memorial College of Engineering & Technology, Devarakonda, Telangana, India

CDA, Electronic Health Records, Generate API

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 60-65
Manuscript Number : CSEIT183125
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

E. Ravi, "Readable CDA Document for Generation and Integration in Cloud Using APIs", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.60-65, January-February-2018.
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