Analyzing the Role of Data Mining in Design and Development of an EBM Enabled Open Source APMIS
Mohammad Taha Khan1, Shamimul Qamar2, Prashant Kumar Moharana3

1Dr. Mohammad Taha Khan, Senior Software Engineer, Injazat Data Systems, Abu Dhabi, UAE. 

2Dr. Shamimul Qamar, Professor, College of Computer Science, King Khalid University Abha, KSA. 

3Prashant Kumar Moharana, Senior Software Engineer, Injazat Data Systems, Abu Dhabi, UAE. 

Manuscript received on 09 October 2019 | Revised Manuscript received on 23 October 2019 | Manuscript Published on 26 December 2019 | PP: 751-756 | Volume-8 Issue-12S October 2019 | Retrieval Number: L117410812S19/2019©BEIESP | DOI: 10.35940/ijitee.L1174.10812S19

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Abstract: This research has investigated open source software solutions and clinical data to provide a low cost improved advanced pathology management information system [APMIS]. This APMIS facilitate the Evidence Based Medicine (EBM) to provide accurate and error-free diagnosis. In the most of developing countries healthcare is mainly government sector service, due to the limited available resources most of the hospitals are lacking in providing the best services at time. Finance is one of complex issues in the development of an exhaustive healthcare system. Open source software solutions can be proved as a best alternative for achieving the required services at very low cost. While treating a patient any poor clinical decision is unacceptable as it can lead towards a disastrous situation where life of a patient is on stake. Healthcare providers must go for employment of computerized management information (MIS) and/or IT based decision support systems (DSS).These systems use to generate huge amount of data. A hidden wealth of information use to be available with these data and it can be very supportive in process of clinical decision making. How we can support decision making in healthcare by extracting and utilizing useful information from these data is one of the main themes of this research.

Keywords: Big Data, EBM, Knowledge Discovery and Data Mining (KDD), Decision Support System, e-Healthcare, Management Information Systems, Open Source Software.
Scope of the Article: Data Mining