Data mining in a credit insurance information system for bank loans risk management in developing countries

2021 ◽  
Vol 18 (3) ◽  
pp. 291
Author(s):  
Fouad Jameel Ibrahim Al Azzawi
Keyword(s):  
Data Mining ◽  
Information System ◽  
Risk Management ◽  
Developing Countries ◽  
Bank Loans ◽  
Credit Insurance

FORMALIZED DESCRIPTION OF THE PROCEDURE OF INFORMATION SYSTEM RISK MANAGEMENT

2018 ◽  
pp. 61-70
Author(s):  
Svetlana Sergeevna Kozunova ◽  
Alla Grigorievna Kravets
Keyword(s):  
Information System ◽  
Risk Management ◽  
Negative Consequences ◽  
Management Procedure ◽  
System Risk ◽  
Weak Points ◽  
Formalized Description ◽  
Relationship Of ◽  
The Relationship ◽  
Further Development

The article highlights the aspects of risk management in the information system. According to the analysis of the work of Russian and foreign scientists and world practices in the field of risk management, it is stated that there is a need to improve the effectiveness of risk management of information system and to develop a method for managing the risks of the information system. As a solution to the problem of effective risk management of the information system, there has been proposed a formalized procedure for managing the risks of the information system. The scientific novelty of this solution is the use of decision space and optimization space to reduce risks. This procedure allows to assess the damage, risk and effectiveness of risk management of the information system. The risks of the information system are determined and analyzed; a pyramidal risk diagram is developed. This diagram allows you to describe the relationship of risks with the components of the information system. The negative consequences to which these risks can lead are given. The analysis of methods and approaches to risk management has been carried out. Based on the results of the analysis, the methods GRAMM, CORAS, GOST R ISO / IEC scored to the maximum. The weak points of these methods and the difficulty of applying these methods in practice are described. The developed formalized risk management procedure to control the risks of information system can be used as management system’s element of the information security quality that complies with the recommendations of GOST R ISO / IEC 27003-2012. The prospect of further development of the research results is the development of management systems of risk of information system.

Reanalysis of Flash Floods and Debris Flows on two continents and their management strategies

2021 ◽  
Author(s):  
Juan Daniel Rios-Arboleda
Keyword(s):  
Risk Management ◽  
Developing Countries ◽  
South America ◽  
Debris Flow ◽  
Debris Flows ◽  
Large Scale ◽  
Management Strategies ◽  
Original Analysis ◽  
Risk Management Strategies ◽  
Latitudinal Patterns

<p>This research expands the original analysis of Baker and Costa (1987) including data from Europe and South America with the objective to understand if there are emerging latitudinal patterns. In addition, the threshold proposed by Zimmermann et al. (1997) it is evaluated with the data from tropical zones finding that this is a good predictor.</p><p>Mainly, recent Debris Flow occurred in South America are analyzed with the aim of identifying the best risk management strategies and their replicability for developing countries, particularly, the cases that have occurred in Colombia and Venezuela in the last 30 years are analyzed in order to compare management strategies and understand which are the most vulnerable areas to this phenomenon.</p><p>It is concluded that large-scale and multinational projects such as SED ALP are required in South America to better characterize events that have left multiple fatalities (sometimes hundreds of people) and better understand how to manage the risk on densely populated areas.</p><p>Finally, the use of amateur videos is proposed to characterize these events in nations with limited budgets for projects such as SED ALP, methodology that will be described extensively in later works.</p>

Hospital information systems in developing countries: a state-of-the-art systematic review

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Lei ◽  
Jianming Liu ◽  
Wu Li
Keyword(s):  
Health Care ◽  
Information System ◽  
Developing Countries ◽  
Health Care Services ◽  
Developed Countries ◽  
Future Research ◽  
Local Conditions ◽  
Content Type ◽  
The Government

Purpose Hospital information system (HIS) can be examined as a vital factor for developing the quality of health care and cost managing. There exists abundant literature on HISs, but implementation-based literature of HIS is rare, typically about progressive countries. However, a study that can comprehensively review published articles is scarce. Therefore, this paper aims to examine the systematic and comprehensive study of HIS in developed countries. Together, the benefits and harms relevant to HIS’s different mechanisms have been considered, and the fundamental challenges of them are addressed to design more efficient HIS in the future. Design/methodology/approach HIS has been used globally for numerous years and is now being used in a wide area. HIS is broadly used in clinical settings. Information technology (IT) and information system have been suggested as a required piece to solve the health-care-related issues. Hence, to improve HIS’s ability, this paper conducted a review method concentratating on research related to HIS until 2019. A total of 21 papers were recognized and examined as principal research for the summary. Findings The authors found that HIS can help in reduction of medical mistakes, enhancement doctors’ performance and increase in the quality of the care provided. HIS management can be used to provide better health-care services. Therefore, HIS must be sensible and use clear structures. The authors conclude that, generally, with an increase in awareness, acceptability and the need for HIS worldwide, there will be more strategies and approaches available. Research limitations/implications First, this paper provides an outline of the status of HIS. Second, it identifies some distinct research gaps that could be worth studying. Some flawless work may be removed because of applying some filters to select the original articles. Surveying all the papers on the topic of HIS is impossible, too. Practical implications Design and sustainability of HIS is still a big issue for most developing countries, despite its wide usage in the developed countries. The technology is changing rapidly, so the field should be reviewed regularly. This paper suggests a suitable framework that will guide HIS in the local conditions of developing countries. Social implications The government will be assisted by the suggested solving ways in its performance and design of electronic health-care projects. Originality/value The study brings the viewpoints on the state of HIS mechanisms in developing countries. The paper’s results can offer visions into future research requirements. By providing comparative information and analyzing the current growths in this area, this study will support researchers and professionals to understand the progress in HIS mechanisms better.

scholarly journals Critical Success Factors of Hospital Management Information System (HMIS) Implementation in Developing Countries

2019 ◽  
Vol 8 (10S) ◽  
pp. 394-398
Keyword(s):  
Information System ◽  
Developing Countries ◽  
Management Information System ◽  
Success Factors ◽  
Swot Analysis ◽  
Hospital Management ◽  
Developed Countries ◽  
Success Factor ◽  
Management Information ◽  
Critical Success

Hospital Management Information System (HMIS) was a proficient tool to improve the quality of care by increasing the services effectiveness and efficiency in hospital. Unfortunately, the utilization of HMIS in developing countries was yet to be maximized when compared to that in developed countries. This study aimed to identify the critical success factor in implementing HMIS through SWOT (Strength, Weakness, Opportunity, and Threat) analysis. SWOT analysis is a powerful approach for evaluating the strengths and weaknesses of an entity from internal perspective, as well as the opportunities and threats from external perspective. The analysis showed that HMIS have the ability to provide more accurate data, timely available, faster documentation retrieval compared to paper-based system, and those considered as the HMIS implementation strengths. Competition in the hospital industry and government policies open the opportunity for immediate implementation of HMIS. Despite the benefits from implementing HMIS, the transition from the old to the new system has been rather slow. The hospital readiness from extra funding need, lack of skilled personnel, inadequate infrastructure to support system were a form of HMIS implementation weaknesses. External factors such as existing culture, technologies providers which underestimated healthcare complexity, also lack of communication and collaboration across organization became an obstacle that threatens HMIS implementation.

scholarly journals Clustering Fasilitas Kesehatan Berdasarkan Kecamatan Di Karawang Dengan Algoritma K-Means

2021 ◽  
Vol 8 (1) ◽  
pp. 83
Author(s):  
Bagus Muhammad Islami ◽  
Cepy Sukmayadi ◽  
Tesa Nur Padilah
Keyword(s):  
Data Mining ◽  
Developing Countries ◽  
Data Processing ◽  
Health Problems ◽  
Health Facilities ◽  
Microsoft Excel ◽  
Two Factors ◽  
Clustering Data ◽  
Index Value ◽  
Cluster 2

Abstrak: Masalah kesehatan yang ada di dalam masyarakat terutama di negara- negara berkembang seperti Indonesia dipengaruhi oleh dua faktor yaitu aspek fisik dan aspek non fisik. Berdasarkan data yang diperoleh dari karawangkab.bps.go.id data dibagi menjadi 3 cluster yaitu sedikit, sedang dan terbanyak. Algoritma yang digunakan adalah K-Means cluster yang diimplementsikan menggunakan Microsoft Excel dan Rapidminer Studio. Hasil pengolahan data fasilitas kesehatan di karawang menghasilkan 3 cluster dengan cluster 1 yang mempunyai fasilitas kesehatan sedikit sebanyak 23 kecamatan, cluster 2 yang mempunyai fasilitas kesehatan sedang sebanyak 5 kecamatan dan cluster 3 yang mempunyai fasilitas kesehatan terbanyak terdapat 2 kecamatan. Kinerja yang dihasilkan dari algoritma K-means menghasilkan nilai Davies Boildin Index sebesar 0,109.   Kata kunci: clustering, data mining, fasilitas kesehatan, K-Means.   Abstract: Health problems that exist in society, especially in developing countries like Indonesia, are built by two factors, namely physical and non-physical aspects. Based on data obtained from karawangkab.bps.go.id the data is divided into 3 clusters, namely the least, medium and the most. The algorithm used is the K-Means cluster which is implemented using Microsoft Excel and Rapidminer Studio. The results of data processing of health facilities in Karawang produce 3 clusters with cluster 1 which has 23 sub-districts of health facilities, cluster 2 which has medium health facilities as many as 5 districts and cluster 3 which has the most health facilities in 2 districts. The performance resulting from the K-means algorithm results in a Davies Boildin Index value of 0.109.   Keywords: clustering, data mining, health facilities, K-Means.

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