Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/207860
Title: Improvement and Conflict Management in e Health Care Using Data Mining
Researcher: Mr. Mohammad Taha Khan
Guide(s): Dr. Shamimul Qamar, Dr. Ripu Ranjan Sinha
University: Suresh Gyan Vihar University
Completed Date: 2018
Abstract: This research has investigated open source software solutions and clinical data to newlineprovide a low cost improved e-healthcare system, which can deliver accurate newlinediagnosis with an assurance of it being error-free. This low cost improved ehealthcare newlinesystem is bound to give proper treatment to patients at the right time. In the newlinemost of developing countries healthcare is mainly government sector service, due to newlinethe limited available resources most of the hospitals are lacking in providing the best newlineservices at time. nology plays a newlinevital role in improving the services in healthcare sector. Finance is one of complex newlineissues in the development of an exhaustive healthcare system. Open source software newlinesolutions can be proved as a best alternative for achieving the required services at newlinevery low cost. Apart from cost another major issue highlighted in healthcare is to newlineimpart precise and glitch free diagnosis and proper therapy and treatment to patients. newlineTraditionally, most of the healthcare providers will individually or collectively give newlineyou their services which are based solely on their experiences and their knowledge newlineabout the particular area. A poor clinical decision is not acceptable in treating a newlinepatient as it can give disastrous results. To provide a low cost error free and accurate newlineservice, it is the duty of healthcare providers that they must recruit such computerized newlinedata which is appropriate and up to date. Nowadays Hospital Management newlineInformation Systems (HMIS) are used in hospitals in order to manage their patient newlinedata and healthcare services. A huge amount of data is getting generated by these newlinesystems. That data contains unlimited hidden information which if used properly can newlinebe very useful to buttress the clinical decisions newlinewe can extract useful information from these data to support decision making by newlinehealthcare practitioners Evidence Based Medicine (EBM) is one of the most recent newlineand important approaches in healthcare. It is an approach which is used in order to newlinemake vital clinical decisions concerni
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URI: http://hdl.handle.net/10603/207860
Appears in Departments:Department of Information Technology



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