How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review

R. Pagani Vander Luiz da Silva T. C. D. S. Pasquini + 2 lainnya

19 Juli 2022

Abstract In different studies in the field of healthcare, big data analytics technology has been shown to be effective in observing the behaviour of data, of which analysed to allow the discovery of relevant insights for strategy and decision making. The objective of this study is to present the results of a systematic review of the literature on big data analytics in healthcare, focussing in technologies, main areas and purposes of adoption. To reach its objective, the study conducts an exploratory research, through a systematic review of the literature, using the Methodi Ordinatio protocol supported by content analysis. The results reveal that the use of tools implies work performance at the clinical and managerial level, improving the cost–benefit ratio and reducing the time factor in the practice of the workforce in health services. Thus, this study hopes to contribute to the technological advancement of computational intelligence applied to healthcare.

A. Ślęzak Kornelia M. Batko

6 Januari 2022

The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of selected results of direct research on the use of Big Data Analytics in medical facilities. The direct research was carried out based on research questionnaire and conducted on a sample of 217 medical facilities in Poland. Literature studies have shown that the use of Big Data Analytics can bring many benefits to medical facilities, while direct research has shown that medical facilities in Poland are moving towards data-based healthcare because they use structured and unstructured data, reach for analytics in the administrative, business and clinical area. The research positively confirmed that medical facilities are working on both structural data and unstructured data. The following kinds and sources of data can be distinguished: from databases, transaction data, unstructured content of emails and documents, data from devices and sensors. However, the use of data from social media is lower as in their activity they reach for analytics, not only in the administrative and business but also in the clinical area. It clearly shows that the decisions made in medical facilities are highly data-driven. The results of the study confirm what has been analyzed in the literature that medical facilities are moving towards data-based healthcare, together with its benefits.

Sayantan Khanra Najmul Islam Matti Mäntymäki + 1 lainnya

8 Agustus 2020

ABSTRACT The current study performs a systematic literature review (SLR) to synthesise prior research on the applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 studies, and presents them in a comprehensive framework. The findings from this study suggest that applications of BDA in healthcare can be observed from five perspectives, namely, health awareness among the general public, interactions among stakeholders in the healthcare ecosystem, hospital management practices, treatment of specific medical conditions, and technology in healthcare service delivery. This SLR recommends actionable future research agendas for scholars and valuable implications for theory and practice.

E. Minvielle Pierre-Yves Brossard C. Sicotte

31 Januari 2022

Background As the uptake of health information technologies increased, most healthcare organizations have become producers of big data. A growing number of hospitals are investing in the development of big data analytics (BDA) capabilities. If the promises associated with these capabilities are high, how hospitals create value from it remains unclear. The present study undertakes a scoping review of existing research on BDA use in hospitals to describe the path from BDA capabilities (BDAC) to value and its associated challenges. Methods This scoping review was conducted following Arksey and O’Malley’s 5 stages framework. A systematic search strategy was adopted to identify relevant articles in Scopus and Web of Science. Data charting and extraction were performed following an analytical framework that builds on the resource-based view of the firm to describe the path from BDA capabilities to value in hospitals. Results Of 1,478 articles identified, 94 were included. Most of them are experimental research ( n =69) published in medical ( n =66) or computer science journals ( n =28). The main value targets associated with the use of BDA are improving the quality of decision-making ( n =56) and driving innovation ( n =52) which apply mainly to care ( n =67) and administrative ( n =48) activities. To reach these targets, hospitals need to adequately combine BDA capabilities and value creation mechanisms (VCM) to enable knowledge generation and drive its assimilation. Benefits are endpoints of the value creation process. They are expected in all articles but realized in a few instances only ( n =19). Conclusions This review confirms the value creation potential of BDA solutions in hospitals. It also shows the organizational challenges that prevent hospitals from generating actual benefits from BDAC-building efforts. The configuring of strategies, technologies and organizational capabilities underlying the development of value-creating BDA solutions should become a priority area for research, with focus on the mechanisms that can drive the alignment of BDA and organizational strategies, and the development of organizational capabilities to support knowledge generation and assimilation.

Khawla Eissa Alhajaj I. Moonesar

1 Februari 2023

Context Collecting and analyzing data has become crucial for many sectors, including the health care sector, where a hefty amount of data is generated daily. Over time, the amount and complexity of this data increase substantially. Consequently, it is considered big data that cannot be stored or analyzed conveniently unless advanced technologies are incorporated. Latest advances in technology have divulged new opportunities to use big data analysis to track a patient’s record and health. Still, it has also posed new challenges in maintaining data privacy and security in the healthcare sector. Purpose This systematic review aims to give new researchers insights into big data use in health care systems and its issues or to advise academics interested in investigating the prospects and tackling the challenges of big data implementation in rising nations like the UAE. This study uses a systematic methodology to examine big data's role and efficacy in UAE health care. Methods The research follows the methodology of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) for reporting the reviews and evaluating the randomized trials. Furthermore, the Critical Appraisal Checklist for PRISMA 2009 was applied for the research. Findings The study concludes that the healthcare systems in the United Arab Emirates can be improved through big data; however, the country authorities must acknowledge the development of efficient frameworks for performance, and quality assessment of the new health care system is significant. The said goal can be achieved via integrating big data and health informatics with the help of IT specialists, health care managers, and stakeholders. Data privacy, data storage, data structure, data ownership, and governance were the most often expressed concerns. Contribution to knowledge By discussing numerous issues and presenting solutions linked with big data, the current study contributes substantially to the knowledge of big data and its integration into health care systems in the UAE.