Recognition and Ranking Critical Success Factors of Business Intelligence in Hospitals - Case Study: Hasheminejad Hospital

Naderinejad, Marjan; Tarokh, Mohammad Jafar; Poorebrahimi, Alireza

doi:10.5121/ijcsit.2014.6208

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…In the papers [42][43][44][45] general approach is considered respectively to the possibilities of use of the business intelligence in hospitals and the factors that affect a survey on data mining approaches for healthcare using the example of the Hasheminejad hospital in Iran, a survey on data mining approaches for healthcare, data mining applications in healthcare and possibilities of prediction and decision making in healthcare using data mining.…”

Section: Literature Reviewmentioning

confidence: 99%

An Ensemble Method for Determining the Importance of Selected Social and Health Factors Affecting the Inpatient Treatment Quality

Mišić¹,

Kemiveš²,

Ranđelović³

et al. 2023

Preprint

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This study aims to determine the influence of selected social and health factors on the quality of inpatient treatments when regional health organizations use stacking ensemble model. The proposed procedure is based on the logistic regression method, which is used for direct prediction in the case of good fitting data and impossibility of including aggregation of classification algorithms but also in the opposite case, for fine calibration to obtain prediction. In opposite case, the procedure uses classification algorithms and several filter methods which initially rank individual factors according to their importance to reduce the dimensionality of problem and, in such way. obtaining one optimized classification prediction. The proposed procedure is trained using one part and tested using another part of dataset from case study which enables the generalization of the solution to the set goal and is verified by the Kaggle dataset Brest cancer. Case study was conducted using the real data acquired in the region connected to the city of Nis, Republic of Serbia. The obtained results show that the proposed model achieves better results that each of methods included in this stacking ensemble-regression and classification used individually.

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Section: Literature Reviewmentioning

confidence: 99%

An Ensemble Method for Determining the Importance of Selected Social and Health Factors Affecting the Inpatient Treatment Quality

Mišić¹,

Kemiveš²,

Ranđelović³

et al. 2023

Preprint

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show abstract

“…In addition, Farzaneh et al (2015) enumerated the factors such as technological, organizational and processing factors. The existing BI literature includes research focusing on the organizational factors such as supportive culture (Sangar et al , 2013), infrastructure (Wixom et al , 2014; Yeoh and Popovič, 2016), BI governance structure (Gudfinnsson et al , 2015), well-defined requirements (Thamir and Poulis, 2015) and development methodology (Saltz, 2015) or target individual ones like committed and informed executive managers (Naderinejad et al , 2014).…”

Section: Research Synthesismentioning

confidence: 99%

A framework for developing business intelligence systems: a knowledge perspective

Farzaneh

Isaai

Arasti

et al. 2018

MRR

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Purpose The purpose of this research is to propose a framework for developing business intelligence systems (BIS). Design/methodology/approach Following a qualitative research method, a comprehensive framework at organizational and individual level, as well as team level, was developed. Findings The findings revealed that team-level influential factors play a more significant role in BIS development success. The results also indicate that BIS development relies on suppliers, customers and their relationships, whereas the supplier side has a more significant impact on determining successful development. Drawing on these findings, embedded knowledge, knowledge management process capability and project team members’ interaction were identified at team level on supplier side which significantly influence the success of BIS development. Practical implications This research provides insights into a framework toward successful development of BIS. Originality/value The findings of this exploratory study would be useful for planners and managers of BIS development projects to enhance success probability of such projects.

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“…These factors will be much more effective, if used in accordance with their importance in various stages of implementation [8]. In this study, we used the factors presented in the paper of Farrokhi and Pokorádi [9] and listed in Figure 1. The authors in [9] have categorized the factors into both organizational and technical factors.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, we used the factors presented in the paper of Farrokhi and Pokorádi [9] and listed in Figure 1. The authors in [9] have categorized the factors into both organizational and technical factors. [8] In [3] Farrokhi and Pokorádi reviewed the necessities for building a model to evaluate BI projects and they said that the BI readiness assessment had two main goals.…”

Section: Introductionmentioning

confidence: 99%

The Identification of Readiness in Implementating Business Intelligence Projects by Combining Interpretive Structural Modeling with Graph Theory and Matrix Approach

2014

APH

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In the past, decisions were made by senior management in organizations and they were based solely on personal experience, leading to increased risk in decision making. Nowadays, however, most companies are moving towards Business Intelligence (BI) systems. It is estimated that technology budgets dedicated to Business Intelligence in 2006, increased from $ 14 to $ 20 billion. Experiments have shown that the probability of failure in BI projects is high and evaluation before the start of implementation is important because if the company is not assessed, the implementation of BI projects can cause a waste of time and resources and the company will not achieve expected profits. The aim of this paper is to provide a method to evaluate the key factors for the successful implementation of BI projects and to determine the organization's index of assessing readiness before the implementation of BI projects. A series of technical and organizational key factors for the successful implementation of BI have been proposed in various literatures. These key factors will be evaluational ones for an organization. We apply a combination of Interpretive Structural Modeling (ISM) and Graph Theory and Matrix Approach (GTMA) on the factors to earn an indicator for evaluating the organization's readiness for implementing a BI project. We applied this method in two organizations for comparing and determined the organizations' readiness before the implementation of BI and found it to be very effective.

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Recognition and Ranking Critical Success Factors of Business Intelligence in Hospitals - Case Study: Hasheminejad Hospital

Abstract: Background and Aim: Business Intelligence, not as a tool of a product but as a new approach is propounded in organizations to make tough decisions in business as

Cited by 7 publications

References 11 publications

An Ensemble Method for Determining the Importance of Selected Social and Health Factors Affecting the Inpatient Treatment Quality

An Ensemble Method for Determining the Importance of Selected Social and Health Factors Affecting the Inpatient Treatment Quality

A framework for developing business intelligence systems: a knowledge perspective

The Identification of Readiness in Implementating Business Intelligence Projects by Combining Interpretive Structural Modeling with Graph Theory and Matrix Approach

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