ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

CDSS implementation with CDA generation and integration for health information exchange in cloud

Journal: International Journal of Trend in Scientific Research and Development (Vol.2, No. 4)

Publication Date:

Authors : ;

Page : 885-888

Keywords : Health information exchange( HL7) CDA; cloud computing; software as a service; CDSS; privacy preserving;

Source : Downloadexternal Find it from : Google Scholarexternal


Electronic health record helps to improve the safety and quality care of every individual patient details, that to be stored in various hospital through health information exchange. The clinical document architecture(CDA) developed by Health level seven(HL7) is core document standard that ensure interoperability of the document. Hospitals are reluctant to adopt interoperable hospital information system due to its deployment cost except for in a handful countries. A problem arises even when more hospitals start using the CDA document format because the data scattered in different documents are hard to manage. CDA document generation and integration Service based on cloud computing through which hospitals are enabled to conveniently generate CDA document per patient into a single CDA document and physician and patients can browse the clinical data in chronological order. To improve the accuracy and speed of diagnosis, health care system is important to provide the faster and efficient way. A clinical decision support system (CDSS) is a health information technology system that is designed to provide physicians and other health professionals with clinical decision support (CDS), that is assistance with clinical decision '“making tasks. The system is designed by using various data mining techniques to assist the diagnosis of patient's symptoms. Our system is designed with the help of Naïve Bayesian classification technique which has overcome the various data mining technique to diagnose the patient symptoms. The Naïve Bayesian classification technique provide the diagnosis of disease with the help of symptoms occurs to the patient .'œClinical decision support systems link health observations with health knowledge to influence health choices by clinicians for improved health. Our system implement (CDSS) clinical decision support system looking towards the system CDSS clinical decision support system diagnose the diseases of the patient and also the CDA is generated which will be in XML form and also it can be integrated through various platforms. With the help of this system the time of patient would be saved and accurate diagnoses of the patient is done. Pooja N. Umekar | Dr. H R. Deshmukh | Prof. O. A. Jaisinghani | Prof S.V. Khedkar"CDSS implementation with CDA generation and integration for health information exchange in cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL:

Last modified: 2018-08-01 20:32:30