Electronic Medical Records

As use of medical care is increasing day by day. Also the medical care is getting more complex and use of new information has become very strong to physician‘s capacity to treat patients with the latest information with old one, as doctors need new technologies to help them to face with. There is need for digital records to allow capturing of patients data that can then be processed and mined for better treatment for patients. The Electronic Medical Record (EMR) is the tool that allows providing the way for which new functionality or new services can be provided to doctors [1].
In this paper proposed here tells the enhancement of the previously existing system. In this new enhanced system we can able to upload EMR data to local or global server

Documentation is also needed as an archival record of what happened in cases of failure. To a great extent, doctors resent the task of documentation, as it detracts or reduce from their primary task of taking care of patients. Doctors also resent the duplication of effort required with documentation, as every list of medication that is written on a prescription pad, every lab test prescribed, every x-ray ordered has to be re-written in the chart to maintain a good record. Communication between practitioners is difficult as in many cases the information collected is broken, frequently unwanted and large. Finally, doctors are constantly flooded with new information and have no tools to help them assemble new techniques and treatments into their daily activities, other than using their memories or having massive collection of files and

This is causing doctors to accept and validate erroneous data that may inadvertently produce unintended clinical results. The subject research describes the shortcomings of the EMR system leading to low adoption, and then proposes a new approach of using the Design Structure Matrix (DSM) method for improving EMR system usability through the analysis of system functionality. Here is the literature survey of the method as follows. X-ray, computed tomography (CT), and MRI, and their common use in clinical practice, the number of medical images is increasing every day. These medical images provide essential anatomical and functional information about different body parts for detection, diagnosis, treatment planning, and monitoring, as well as medical research and education. In paper [1] depicts that aims at addressing new challenges in standard-based interoperability provision among legacy healthcare information systems, while adhering to international and national standards for data and service representations. We introduce a framework to employ healthcare standards and clinical terminology systems to achieve semantic interoperability between distributed Electronic Medical Record (EMR) systems. A real world case study for integration of a Clinical Decision Support System (CDSS) with the EMR of a specialist will be