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Values, challenges and future directions of big data analytics in healthcare: A systematic review

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  • Galetsi, P.
  • Katsaliaki, K.
  • Kumar, S.

Abstract

The emergence of powerful software has created conditions and approaches for large datasets to be collected and analyzed which has led to informed decision-making towards tackling health issues. The objective of this study is to systematically review 804 scholarly publications related to big data analytics in health in order to identify the organizational and social values along with associated challenges. Key principles of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology were followed for conducting systematic reviews. Following a research path, we present the values, challenges and future directions of the scientific area using indicative examples from relevant published articles. The study reveals that one of the main values created is the development of analytical techniques which provides personalized health services to users and supports human decision-making using automated algorithms, challenging the power issues in the doctor-patient relationship and creating new working conditions. A main challenge to data analytics is data management and security when processing large volumes of sensitive, personal health data. Future research is directed towards the development of systems that will standardize and secure the process of extracting private healthcare datasets from relevant organizations. Our systematic literature review aims to provide to governments and health policy-makers a better understanding of how the development of a data driven strategy can improve public health and the functioning of healthcare organizations but also how can create challenges that need to be addressed in the near future to avoid societal malfunctions.

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  • Galetsi, P. & Katsaliaki, K. & Kumar, S., 2019. "Values, challenges and future directions of big data analytics in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:socmed:v:241:y:2019:i:c:s0277953619305271
    DOI: 10.1016/j.socscimed.2019.112533
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    3. Basile, L.J. & Carbonara, N. & Panniello, U. & Pellegrino, R., 2024. "The role of big data analytics in improving the quality of healthcare services in the Italian context: The mediating role of risk management," Technovation, Elsevier, vol. 133(C).
    4. Dal Mas, Francesca & Massaro, Maurizio & Rippa, Pierluigi & Secundo, Giustina, 2023. "The challenges of digital transformation in healthcare: An interdisciplinary literature review, framework, and future research agenda," Technovation, Elsevier, vol. 123(C).
    5. Li Li & Xin Cui & Wei Feng, 2024. "Enhancing Patient Satisfaction in Cross-Regional Healthcare: a Cross-Sectional Study in the Knowledge-Based Healthcare Landscape," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14172-14198, September.
    6. Sharma, Rohit & Jain, Geetika & Paul, Justin, 2023. "Does the world need to change its vaccine distribution strategy for COVID-19?," Technovation, Elsevier, vol. 126(C).
    7. Wei-Chih Lu & I-Ching Tsai & Kuan-Chung Wang & Te-Ai Tang & Kuan-Chen Li & Ya-Ci Ke & Peng-Ting Chen, 2021. "Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    8. Daniele Piovani & Stefanos Bonovas, 2022. "Real World—Big Data Analytics in Healthcare," IJERPH, MDPI, vol. 19(18), pages 1-3, September.
    9. Secundo, Giustina & Riad Shams, S.M. & Nucci, Francesco, 2021. "Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management," Journal of Business Research, Elsevier, vol. 131(C), pages 563-572.
    10. Cruz, Taylor M. & Paine, Emily Allen, 2021. "Capturing patients, missing inequities: Data standardization on sexual orientation and gender identity across unequal clinical contexts," Social Science & Medicine, Elsevier, vol. 285(C).
    11. Wen-Jing Suo & Chai-Lee Goi & Mei-Teh Goi & Adriel K. S. Sim, 2022. "Factors Influencing Behavioural Intention to Adopt the QR-Code Payment: Extending UTAUT2 Model," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 13(2), pages 1-22, August.
    12. Cherif, Emna & Bezaz, Nora & Mzoughi, Manel, 2021. "Do personal health concerns and trust in healthcare providers mitigate privacy concerns? Effects on patients’ intention to share personal health data on electronic health records," Social Science & Medicine, Elsevier, vol. 283(C).
    13. Galetsi, Panagiota & Katsaliaki, Korina & Kumar, Sameer, 2022. "The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19," Social Science & Medicine, Elsevier, vol. 301(C).
    14. Glory Urekwere Orlu & Rusli Bin Abdullah & Zeinab Zaremohzzabieh & Yusmadi Yah Jusoh & Shahla Asadi & Yousef A. M. Qasem & Rozi Nor Haizan Nor & Wan Mohd Haffiz bin Mohd Nasir, 2023. "A Systematic Review of Literature on Sustaining Decision-Making in Healthcare Organizations Amid Imperfect Information in the Big Data Era," Sustainability, MDPI, vol. 15(21), pages 1-19, October.
    15. Cruz, Taylor Marion, 2022. "The social life of biomedical data: Capturing, obscuring, and envisioning care in the digital safety-net," Social Science & Medicine, Elsevier, vol. 294(C).
    16. Galetsi, Panagiota & Katsaliaki, Korina & Kumar, Sameer, 2023. "Exploring benefits and ethical challenges in the rise of mHealth (mobile healthcare) technology for the common good: An analysis of mobile applications for health specialists," Technovation, Elsevier, vol. 121(C).
    17. K. Katsaliaki & P. Galetsi & S. Kumar, 2022. "Supply chain disruptions and resilience: a major review and future research agenda," Annals of Operations Research, Springer, vol. 319(1), pages 965-1002, December.

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