Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making

Basile, Luigi Jesus; Carbonara, Nunzia; Pellegrino, Roberta; Panniello, Umberto

doi:10.1016/j.technovation.2022.102482

Cited by 60 publications

(30 citation statements)

References 60 publications

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“…Thus, data-driven organizations accepted any data-based decision even though resulted failure to learnt the process as it goes through testing and experimentation (Berndtsson et al, 2018). Therefore, organizations adopting a data-driven approach have opportunities to improve their business and outperform in many ways such in clinical decision making in healthcare, predictions in student's academic performance, transportations for urban zones and energy savings for electricity (Basile et al, 2022;Gil et al, 2021;Du et al, 2020;Teng et al, 2021).…”

Section: Big Data Adoptionmentioning

confidence: 99%

A TOE Approach for Big Data Adoption Factors Towards Organizational Impact in the Malaysia’s GLAs: A Conceptual Review

Hashim¹,

Shahibi²,

Bahry³

2022

IJARBSS

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Having large volumes of data enable the organization to exploit them in the operational activities. However, the organization face challenges to have accurate data for right purposes at the right time. The purpose of the study is to develop a model of Big Data initiative which will provide the government agencies with a guide to evaluate the comprehensive criteria on the implementation. The outcome also will able to facilitate government on focusing to enhance or improvise the crucial aspect in management. This conceptual paper extends the technology-organization-environment model integrate with few other theories. This study extends it with data-driven culture as a mediating variable to investigate the relationship between Big Data Adoption factors and organizational impact in Government-Linked Agencies in Malaysia. The expected findings will then be assisting to provide guidelines in policy makers, opportunities to the newly creation position in the organization. The outcome also will able to facilitate government on focusing to enhance or improvise the crucial aspect in management especially in Big Data initiative as a whole and their interrelationships. This study not just focus of personal routines in operational activities, but also to come out with a guide to assist organization in utilize the good insights of Big Data.

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Section: Big Data Adoptionmentioning

confidence: 99%

A TOE Approach for Big Data Adoption Factors Towards Organizational Impact in the Malaysia’s GLAs: A Conceptual Review

Hashim¹,

Shahibi²,

Bahry³

2022

IJARBSS

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“…Table 1 shows the steps followed in the search strategy: Table 2 shows the journals that have published the most articles. In particular, International Journal Recent Technology and Engineering presents the highest number of publications (25), covering articles in the areas of computer science and engineering; information technology; electrical and electronics engineering; telecommunication; mechanical, civil, and textile engineering; and all interdisciplinary streams of engineering sciences. This is followed by International Journal of Scientific & Technology Research with 11 publications and Lecture Notes in Business Information Processing with 10 papers in the fields of engineering, science, technology, and industrial application software development.…”

Section: Summary and Dissemination Of Audit Resultsmentioning

confidence: 99%

“…Scopus has been used to select the most relevant studies on the role of BD in healthcare to generate knowledge even from the most remote contributions to the literature [25].…”

Section: Introductionmentioning

confidence: 99%

“…Scopus has been used to select the most relevant studies on the role of BD in healthcare to generate knowledge even from the most remote contributions to the literature [ 25 ]. The study shows exponential growth in publications, especially since 2020, highlighting the growing criticality and urgency of healthcare and Industry 4.0 integration.…”

Section: Introductionmentioning

confidence: 99%

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Towards the Use of Big Data in Healthcare: A Literature Review

et al. 2022

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The interest in new and more advanced technological solutions is paving the way for the diffusion of innovative and revolutionary applications in healthcare organizations. The application of an artificial intelligence system to medical research has the potential to move toward highly advanced e-Health. This analysis aims to explore the main areas of application of big data in healthcare, as well as the restructuring of the technological infrastructure and the integration of traditional data analytical tools and techniques with an elaborate computational technology that is able to enhance and extract useful information for decision-making. We conducted a literature review using the Scopus database over the period 2010–2020. The article selection process involved five steps: the planning and identification of studies, the evaluation of articles, the extraction of results, the summary, and the dissemination of the audit results. We included 93 documents. Our results suggest that effective and patient-centered care cannot disregard the acquisition, management, and analysis of a huge volume and variety of health data. In this way, an immediate and more effective diagnosis could be possible while maximizing healthcare resources. Deriving the benefits associated with digitization and technological innovation, however, requires the restructuring of traditional operational and strategic processes, and the acquisition of new skills.

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“…Virtualisation started with the fourth industrial revolution and became the basis of industry and workflow. The main reasons, such as the increase in the population, the increase in health needs and the increase in health literacy, led to a focus on growing the health sector and introducing digitisation and artificial intelligence in it [41][42][43][44][45][46]. Although the health sector was lingering behind the rest of the sectors in applying artificial intelligence, it quickly adapted to artificial intelligence and electronic digitisation [47][48][49][50].…”

Section: Digitalisation and Ai In Healthcarementioning

confidence: 99%

The Significance of Digitalisation and Artificial Intelligence in The Healthcare Sector: A Review

Mijwil

Al-Mistarehi

2022

AJPNMS

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Nowadays, artificial intelligence, machine learning, and deep learning are among the most popular and applied topics in many scientific and life fields that serve humanity. This science seeks to impose itself strongly on the various activities and academic circles and information science. Artificial intelligence techniques have proven their worth to be important in many fields, especially in the medical fields, business administration, military applications, communications, and many others. In short, artificial intelligence is from another world that will be of great importance in the future. In this article, the importance of digitisation and artificial intelligence in the healthcare sector will be addressed, what services they provide to this sector, and how they contribute to the service of healthcare workers and patient satisfaction. This article concluded that artificial intelligence and digital technologies are of great importance in the healthcare sector and can never be dispensed with.

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Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making

Cited by 60 publications

References 60 publications

A TOE Approach for Big Data Adoption Factors Towards Organizational Impact in the Malaysia’s GLAs: A Conceptual Review

A TOE Approach for Big Data Adoption Factors Towards Organizational Impact in the Malaysia’s GLAs: A Conceptual Review

Towards the Use of Big Data in Healthcare: A Literature Review

The Significance of Digitalisation and Artificial Intelligence in The Healthcare Sector: A Review

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