Big Data Analytics for Value-Based Care: Challenges and Opportunities

Atoum, Ibrahim A.

doi:10.30534/ijatcse/2019/55862019

Cited by 8 publications

(7 citation statements)

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“…In addition to handling heavy transactional workloads in companies and organizations, SQL DBMSs in general, provide more security features than their NoSQL counterparts, this may be attributed to the fact that NoSQL DBMSs are still relatively new compared to SQL DBMSs. In the future, following the sporadic advancements in Cloud and IoT deployments [37][38] coupled with data processing requirements, it is believed that the security model of NoSQL platforms would advance to such a level that it can substantially compete with or outweigh the best security provisions in the best commercial SQL DBMSs available. In each case, it may be submitted that the greatest threat to database base security is the human factor.…”

Section: Discussionmentioning

confidence: 99%

A Review of Critical Security Challenges in SQL-based and NoSQL Systems from 2010 to 2019

Nwankwo¹

2020

IJATCSE

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Database security has become a very critical issue for organizations and agencies that deploy databases as major data stores for their operations. The ever-increasing data volumes to be stored, maintained and manipulated, the changing user and operational requirements, and the advancement in cloud platforms and hardware have contributed to the consistent change in trends around database research and development which are in many cases directed towards the engineering of innovative data models, techniques and systems that could help overcome the security challenges already established in the existing database management systems. This paper is an articulation of the critical security threats, challenges and vulnerabilities of two widely used database management systems (DBMS): the NoSQL and SQL-based DBMS respectively. The period under review is from 2010-2019, is perceived as a decade that recorded outstanding changes in data and database engineering respectively.

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Section: Discussionmentioning

confidence: 99%

A Review of Critical Security Challenges in SQL-based and NoSQL Systems from 2010 to 2019

Nwankwo¹

2020

IJATCSE

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“…The current trends in Big Data show that its implementation in collection and performing analytics of vast amounts of data has been slowly developing over the last few decades. In the course of the past decade, big data has been improved to solve vital issues such as make conclusive findings from healthcare records that accumulated from many information transactions and storage of sensitive patient data (Viceconti et al, 2015;Atoum and Al-Jarallah, 2019). Big data seems to be evolving simultaneously with progression in technology where new concepts are being innovated while others integrate a mix of different computer technologies to improve Big Data analytics.…”

Section: Big Data Trendsmentioning

confidence: 99%

“…Suoniemi et al (2020) asserted that developed countries are increasingly implementing Big Data technologies to analyze large customer databases to come up with useful insights. Big Data offer many advantages to different organizations in line with improving the decisionmaking processes for businesses or healthcare institutions, and improving consumer experience via customer data analysis (Atoum and Al-Jarallah, 2019). The main goal of Artificial Intelligence (AI) technology in the field of Big Data is to help in identifying and generating knowledge that can be applied to solve problems (Reis et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Big data management: Security and privacy concerns

Atoum¹,

Keshta²

2021

Int. j. adv. appl. sci.

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Big data has been used by different companies to deliver simple products and provide enhanced customer insights through predictive technology such as artificial intelligence. Big data is a field that mainly deals with the extraction and systemic analysis of large data sets to help businesses discover trends. Today, many companies use Big Data to facilitate growth in different functional areas as well as expand their ability to handle large customer databases. Big data has grown the demand for information management experts such that many software companies are increasingly investing in firms that specialize in data management and analytics. Nevertheless, the issue of data protection or privacy is a threat to big data management. This article presents some of the major concerns surrounding the application and use of Big Data about challenges of security and privacy of data stored on technological devices. The paper also discusses some of the current studies being undertaken aimed at addressing security and privacy issues in Big Data.

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“…In this context, the use of big data surely improves clinical output (Atoum and Al-Jarallah 2019); in particular, data availability (Sun and Scanlon 2019) would represent an information source which is able to sustain the decision-making process, by making it more aware (and bias-free) as based on concrete findings drawn from similar clinical situations (Yan et al 2017).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Enhancing Healthcare Decision-Making Process: Findings from Orthopaedic Field

Schettini

Palozzi

Chirico

2020

Administrative Sciences

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In the healthcare field, the decision-making process is part of the broad spectrum of “clinical reasoning”, which is recognised as the whole process by which a physician decides about patients’ treatments and cares. Several clinicians’ intrinsic variables lead to this decisional path. Little is known about the inference of these variables in triggering biases in decisions about the post-discharge period in the surgical field. Accordingly, this research aims to understand if and how cognitive biases can affect orthopaedists in decision-making regarding the follow-up after knee and hip arthroplasty. To achieve this goal, an interview-based explorative case study was run. Three key-decisional orthopaedic surgeons were interviewed through a quality control tool aimed at monitoring the causes and effects of cognitive distortions. Coherently with the literature, eight biases come to light. All the interviewees agree on the presence of four common biases in orthopaedic surgery (Affect heuristic, Anchoring, Halo effect, Saliency). The other biases (Groupthink, Availability, Overconfidence, Confirmation), instead, depending on specific physicians’ intrinsic variables; namely: (i) working experience; (ii) working context. This finding contributes to the debate about the application of cognitive tools as leverage for improving the quality of clinical decision-making process and, indirectly, enhancing better healthcare outcomes.

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Big Data Analytics for Value-Based Care: Challenges and Opportunities

Cited by 8 publications

References 0 publications

A Review of Critical Security Challenges in SQL-based and NoSQL Systems from 2010 to 2019

A Review of Critical Security Challenges in SQL-based and NoSQL Systems from 2010 to 2019

Big data management: Security and privacy concerns

Enhancing Healthcare Decision-Making Process: Findings from Orthopaedic Field

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