Framework for Data Mining In Healthcare Information System in Developing Countries: A Case of Tanzania
01 Oct 2013-
TL;DR: This study has proposed a best fit for data mining techniques in healthcare based on a case study and aims to provide self healthcare treatments where diabetic patients can test their blood sugar level by using e-device, which minimizes time to wait for medical treatments, and minimizes the delay in providing medical treatments.
Abstract: Globally the healthcare sector is abundant with data and hence using data mining techniques in this area seems promising. Healthcare sector collects huge amounts of data on a daily basis. Transferring data into secure electronic system of medical health can save lives and reduce the cost of healthcare services as well as early discovery of contagious diseases with advanced collection of medical data. In this study we have proposed a best fit for data mining techniques in healthcare based on a case study. The proposed framework aims to provide self healthcare treatments where by several monitoring equipments using the cyberspace devices have been developed to help patients manage their medical conditions at home for example, diabetic patients can test their blood sugar level by using e-device, which ,with the click of a computer mouse, downloads the results to a healthcare practitioner, minimizes time to wait for medical treatments, and minimizes the delay time in providing medical treatments. Data mining is a new technology used in different types of sectors to improve the effectiveness and efficiency of business model as well as solving problems in business world.
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01 Jan 2011
TL;DR: In this paper, Iceland's economic turbulence sounds like a familiar macroeconomic story, a credit expansion fuelled excessive borrowing and spending. But there are unfamiliar details -an unusually large banking sector and a central bank unable to serve as a credible lender of last resort -that raise concerns.
Abstract: Iceland’s economic turbulence sounds like a familiar macroeconomic story — a credit expansion fuelled excessive borrowing and spending. But there are unfamiliar details — an unusually large banking sector and a central bank unable to serve as a credible lender of last resort — that raise concerns. Nevertheless, Iceland should be able to weather the current turmoil.
5 citations
16 Mar 2018
TL;DR: The proposed framework model employing cloud computing and data mining is recommended to remarkably improve the administration on the provision of medicines and health supplies, guaranteeing its auspicious accessibility for the benefit of Filipino pregnant women.
Abstract: The foundation of quality health care depends upon the presence of competent health personnel working in a situation where prescriptions and health supplies are accessible when required and in sufficient quantity and of guaranteed quality. This paper conduces to propound a decision support framework model for the Department of Health (DOH) which able to innovate the acquisition and allocation management of medicines and health supplies with the aim of improving the maternal healthcare in the Philippines.In-depth interviews were conducted to DOH officials and facility managers of Rural Health Units (RHU) and in the 3rd district of Albay, Bicol Philippines. Data triangulation and literature review are employed to design the framework. Finally to assess its applicability, a simulative-evaluation is conveyed.Respondents reported on the unreliability of obtaining healthcare supplies for RHU's, which results untimely and suboptimal rendering of healthcare services. Also, insufficient provision of medicines from the government and lack of accountability within the supply system due of inadequate and incoherent terminal reports were revealed to contribute to the current situation.To address the mentioned challenges, this study recommends the consideration of the proposed framework model employing cloud computing and data mining to remarkably improve the administration on the provision of medicines and health supplies, guaranteeing its auspicious accessibility for the benefit of Filipino pregnant women ensuring their health as carriers of the lives to be born as the future of the nation.
5 citations
Cites background from "Framework for Data Mining In Health..."
...The mined information can be utilized by the health care administrators to enhance the nature of organization management [24] as to effective management of resources, improving patient care, health policy planning [25], and others....
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01 Jan 2018
TL;DR: This paper attempts to illustrate the BI approaches incorporated with data mining techniques appropriate in the healthcare domain to overcome the issues and challenges more efficiently.
Abstract: Healthcare is highly complex industry driven by knowledge with rising cost and increasing demands for healthcare quality services. Healthcare providers are forced to focus on care quality while minimizing the cost through better healthcare resource management. However the abundant data from different sources such as clinical processes, business processes, and operational processes, causing remarkable issues and challenges are not resolved, through traditional technologies. Thus the Healthcare providers in effort to improve care quality and reduce cost are turning towards advanced and flexible IT-enabled business strategies. This paper attempts to illustrate the BI approaches incorporated with data mining techniques appropriate in the healthcare domain to overcome the issues and challenges more efficiently. Here emphasis is given on the main BI healthcare processes, benefits of using BI strategies in terms of efficiency, care quality and patient satisfaction.
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TL;DR: In this paper, the potential health and financial benefits of health information technology (HIT) are examined and the potential savings and costs of widespread adoption of electronic medical record (EMR) systems, models important health and safety benefits, and concludes that effective EMR implementation and networking could eventually save more than $81 billion annually.
Abstract: To broadly examine the potential health and financial benefits of health information technology (HIT), this paper compares health care with the use of IT in other industries. It estimates potential savings and costs of widespread adoption of electronic medical record (EMR) systems, models important health and safety benefits, and concludes that effective EMR implementation and networking could eventually save more than $81 billion annually—by improving health care efficiency and safety—and that HIT-enabled prevention and management of chronic disease could eventually double those savings while increasing health and other social benefits. However, this is unlikely to be realized without related changes to the health care system.
1,515 citations
TL;DR: An historical overview of VistA's development is presented, its current functionality is described, and its emergence as a national-scale hospital information system is discussed.
238 citations
20 Sep 2014
TL;DR: This work investigates the utility of applying pseudo-relevance feedback (PRF), a query expansion method that performs well in keyword-based medical literature search to CDS search, and obtains statistically significant retrieval efficiency improvement in terms of nDCG, over the baseline.
Abstract: Recent interest in search tools for Clinical Decision Support (CDS) has dramatically increased. These tools help clinicians assess a medical situation by providing actionable information in the form of a select few highly relevant recent medical papers. Unlike traditional search, which is designed to deal with short queries, queries in CDS are long and narrative. We investigate the utility of applying pseudo-relevance feedback (PRF), a query expansion method that performs well in keyword-based medical literature search to CDS search. Using the optimum combination of PRF parameters we obtained statistically significant retrieval efficiency improvement in terms of nDCG, over the baseline.
73 citations
"Framework for Data Mining In Health..." refers background in this paper
...…my supervisors Dr. Anael Sam from Nelson Mandela African Institute of Science and Technology and Dr. Muhammad Abulaish from Jamia Milia Islamia and last Dr. Yaw Nkansya-Gyekye from Nelson Mandela African Institution of Science and Technology for their guidance and valuable support during this work....
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TL;DR: A seven-step process which combines online analytical processing, data cube analysis, and data mining to streamline decision making in companies with multidimensional databases is considered.
Abstract: As companies seek to automate more of their processes, they are finding that decision support requires a significantly different data management approach than day-to-day operations. Online transaction processing applications simply automate data processing, which is sufficient to handle day-to-day operations. The paper considers a seven-step process which combines online analytical processing, data cube analysis, and data mining to streamline decision making in companies with multidimensional databases.
28 citations