Design and Analysis of a Novel Clinical Data Analysis for Information Exchange on a Cloud Server

Abstract

In current days health care organizations are increasing day by day from one location to other location with a wide variety of features and new techniques. As the health care organizations are increasing more and more in different locations, each and every individual health organization maintains an individual UI model for storing and accessing their patient’s information. Also we know that in some times, information exchange between different hospitals need to be done, so there is a need to share some common database for information exchange in online or offline, such a database is known as Clinical Document Architecture (CDA).The term CDA was developed by HL7 as a core document standard to ensure such interoperability for the patient information. As we discussed above different hospitals or health organizations maintain different user interfaces based on their own technology. So once if any hospital needs any information from other at some urgent situation they both may not match in UI structure, which leads to wrong information extraction. Hence in our proposed thesis we proposed a common format designed in XML for storing the records of CDA from various health care organizations. Also in our proposed thesis we designed CDA document generation and integration of Open API services based on cloud computing which is mainly used to store all the information on a live cloud server. Here we take DRIVEHQ as a cloud service for storing all the CDA information in an encrypted manner rather than in a plain manner. By conducting various experiments on our proposed model, our simulation results clearly show that our proposed system of CDA document generation and integration is based on cloud computing can able to provide developers of different platforms to enhance their ability to interoperability.