Recovery of business intelligence systems: Towards guaranteed continuity of patient centric healthcare systems through a matrix-based recovery approach

Haraty, Ramzi A.; Kaddoura, Sanaa; Zekri, Ahmed

doi:10.1016/j.tele.2017.12.010

Cited by 15 publications

(26 citation statements)

References 11 publications

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“…Analogous to this finding, Torres, Sidorova and Jones (2018) argue that BI and analytics have a positive impact on organizational performance. Moreover, the heightened need to secure patients’ records compels health-care organizations to become more strategic in protecting data and its possible recovery mechanism (Haraty et al ,2018).…”

Section: Discussionmentioning

confidence: 99%

Organizational learning culture and business intelligence systems of health-care organizations in an emerging economy

Arefin

Hoque

Rasul

2020

JKM

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Purpose This paper aims to investigate the role of business intelligence systems (BIS) in the relationship between organizational learning culture and organizational performance in the health-care context. Design/methodology/approach A quantitative approach was applied to identify the hypothesized relationships. Data were obtained from a survey of 217 mid- and top-level managers of health-care organizations in Bangladesh. Structural equation modeling was used to analyze the data. Findings The findings attest to the effectiveness of the mediating role of BIS in the relationship between organizational learning culture and organizational performance within health-care organizations. The theoretical and practical implications of the findings are also discussed. Research limitations/implications The study data were collected from a single country, which made generalization difficult. Further research should be carried out to replicate the present study with different organizational cultural variables and organizational outcomes, such as patient satisfaction. Practical implications This study provides a clear direction for hospital managers to invest more resources in an effective learning culture, to be positively mediated by BIS and to eventually enhance their hospitals’ performance. In addition, this study also suggests that hospital managers should focus on building a knowledge-based learning culture, to effectively use the information provided by BIS. Originality/value Despite the prior study on the applications of BIS and their value to an organization, little is known about the impact of organizational learning culture on BIS in health-care organizations. The findings give support to the argument that organizational learning culture plays an important role in BIS that, in turn, affects business performance.

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Section: Discussionmentioning

confidence: 99%

Organizational learning culture and business intelligence systems of health-care organizations in an emerging economy

Arefin

Hoque

Rasul

2020

JKM

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“…On the other hand, many e-health systems are successfully introduced to the market and the feedback of end-users was extremely positive, which reached an acceptance level of quality and pleasant of customers. These successful and robust systems are resulted from the development of the e-health initiatives that can be utilized in the daily practice of healthcare organizations (Stephanie and Sharma, 2019; Haraty et al. , 2018).…”

Section: Introductionmentioning

confidence: 99%

New goal-oriented requirements extraction framework for e-health services: a case study of diagnostic testing during the COVID-19 outbreak

Alotaibi

Subahi

2021

BPMJ

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PurposeThis paper aims to introduce the goal-oriented requirements extraction approach (GOREA). It is an elicitation approach that uses, specifically, healthcare business goals to derive the requirements of e-health system to be developed.Design/methodology/approachGOREA consists of two major phases: (1) modelling e-health business requirements phase and (2) modelling e-health information technology (IT) and systems requirements phase. The modelling e-health business requirements phase is divided into two main stages: (1) model e-health business strategy stage and (2) model e-health business environment stage. The modelling e-health IT and systems requirements phase illustrates the process of obtaining requirements of e-health system from the organizational goals that are determined in the previous phase. It consists of four main steps that deal with business goals of e-health system: (1) modelling e-health business process (BP) step; (2) modelling e-health business goals step; (3) analysing e-health business goals step; and (4) eliciting e-health system requirements step. A case study based on the basic operations and services in hospital emergency unit for checking patient against COVID-19 virus and taking its diagnostic testing has been set and used to examine the validity of the proposed approach by achieving the conformance of the developed system to the business goals.FindingsThe results indicate that (1) the proposed GOREA has a positive influence on the system implementation according to e-health business expectations; and (2) it can successfully fulfil the need of e-health business in order to save the citizens life by checking them against COVID-19 virus.Research limitations/implicationsThe proposed approach has some limitations. For example, it is only validated using one e-health business goal and thus it has to be authenticated with different e-health business goals in order to address different e-health problems.Originality/valueMany e-health projects and innovations are not established based on robust system requirements engineering phase. In order to ensure the success delivery of e-health services, all characteristics of e-health systems and applications must be understood in terms of technological perspectives as well as the all system requirements.

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“…The work done in (Haraty et al, , 2018Haraty and Sai, 2017;Haraty and Zbib, 2014;Haraty et al, 2016;Kaddoura et al, 2015) reduced the number of data structures utilized by the damage assessment algorithm. Transaction dependency approaches was utilized in both Haraty and Sai, 2017).…”

Section: Matrices In Recoverymentioning

confidence: 99%

“…Transaction dependency approaches was utilized in both Haraty and Sai, 2017). On the other hand, other papers (Haraty et al, 2018;Haraty and Zbib, 2014;Haraty et al, 2016;Kaddoura et al, 2015) utilized the data dependency paradigm for assessing the damage.…”

Section: Matrices In Recoverymentioning

confidence: 99%

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An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems. (c2019)

Boukhari¹

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The immense improvements in the latest internet inventions encouraged the adaptation of technology within the healthcare sector. The healthcare systems storing highly sensitive information can be targeted by attackers aiming to insert, delete, or modify the data stored. These malicious activities may cause serious harm to the database accessibility and lead to catastrophic long-term harm to the patients' health. Since the adaptation of the most advanced security paradigm does not guarantee a full protection. Also, it is possible that the attack is not directly detected. Hence, this highlights the need for an algorithm that is capable of assessing the widespread damage scale before starting the repair of the inconsistent medical database. Within the scope of the damage assessment and recovery, several matrix based, cluster based, and graph based models were introduced. We propose a new hash based technique that is capable of correctly assessing the damage and recovering the database within a suitable time frame and efficient utilization of memory. Finally, the experimental results prove the improvements provided by our hash based algorithm over previously suggested models.

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Recovery of business intelligence systems: Towards guaranteed continuity of patient centric healthcare systems through a matrix-based recovery approach

Cited by 15 publications

References 11 publications

Organizational learning culture and business intelligence systems of health-care organizations in an emerging economy

Organizational learning culture and business intelligence systems of health-care organizations in an emerging economy

New goal-oriented requirements extraction framework for e-health services: a case study of diagnostic testing during the COVID-19 outbreak

An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems. (c2019)

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