tailieunhanh - CDA: Combine health records based on genetic algorithm approach in cloud computing

Our system of CDA document creation and integration is based on cloud computing and the service is offered through Open API. Developers using different platforms thus can use our system to enhance interoperability. Cloud infrastructure with mapping software “health care information” | ISSN:2249-5789 P Peramma et al, International Journal of Computer Science & Communication Networks,Vol 7(5),162-167 CDA: Combine Health Records Based on Genetic Algorithm Approach in Cloud Computing P. Peramma T. MADHAVI M. Tech, Department of CSE, Shri Vishnu Engineering College for Women (A), Vishnupur, Bhimavaram, West Godavari District, Andhra Pradesh. M. tech Assistant Professor, Department of CSE, Shri Vishnu Engineering College for Women (A), Vishnupur, Bhimavaram, West Godavari District, Andhra Pradesh. Abstract Maintenance of Electronic Health Record helps improve patient safety and quality of care, but to do that we need the operation of interoperability between Health Information Combine at different hospitals. The Clinical Document Architecture (CDA) established by Health Level is a core document standard to ensure such interoperability. Unfortunately, a hospital refuses to adopt interoperable Health information service due to its deployment cost. More problems arise when all hospitals start using the CDA document format because the data scattered in many documents are difficult to manage. In this paper, we describe our CDA document Creation and integration which is an Open API service based on cloud computing, through which hospitals are enabled to conveniently generate CDA documents without having to purchase software. Our CDA document integration system integrates multiple CDA documents per patient into a single CDA and physicians and patients can browse the clinical data in chronological order. Our system of CDA document creation and integration is based on cloud computing and the service is offered through Open API. Developers using different platforms thus can use our system to enhance interoperability. Cloud infrastructure with mapping software “health care information” IJCSCN | October-November 2017 Available online@ and using improved genetic algorithm for the allocation and distribution of resources. Based on conducted .