Big Data awareness and health care industry: An insight from Pakistan
Keywords:
Big Data, Healthcare industry, Healthcare 4.0, Healthcare Establishments, Big Data AwarenessAbstract
Introduction: Technologies like Big data are among one of the Quality 4.0 tools that seem to bring digital transformation in healthcare. Therefore, its awareness in healthcare providers is valuable to yield life-saving outcomes. A scarce literature has been found on the assessment of level of Big Data awareness, its utilization in healthcare and its role in firm performance.
Aims & Objectives: The objective of the study is to identify the relationship between the level of awareness, usage and mediation of big data with firm’s performance (healthcare establishment) and the relationship of moderation of resistance to change with the level of awareness of big data and big data usage.
Place and Duration of Study: Riphah International University, Lahore, Pakistan. Healthcare providers were approached through social media groups for the period of three months during 2022 across all provinces of Pakistan.
Materials & Methods: A cross-sectional study was conducted using both self-administered and e-questionnaire as a survey tool. The tool was designed and validated specifically for Healthcare Establishments via extensive literature review and review by the experts. 540 questionnaires were randomly floated among the healthcare providers for the period of three months. Accurately filled 235 responses with a response rate of 52.2% were analyzed by using SPSS version 21.
Results: Results supported the proposed model and showed positive and significant relationship between the level of
awareness of Big Data and firm performance (? = 0.57, p< 0.01) that is mediated by Big Data usage (LLCI = 0.1920; ULCI
= 0.3008). There is a positive and significant relationship between Big Data usage & firm performance (? = 0.66, p< 0.01). Furthermore, we observed resistance to change as moderator between level of awareness of Big Data and firm performance (? = -0.0068, p>0.05).
Conclusion: The current study concludes that level of awareness of Big Data & Big Data usage has a significant positive relationship with firm’s performance. So, on the bases of above facts we recommend that healthcare establishments need to educate and train their managers and professionals about role of Big Data and its usage in health-related activities for improved performance.
References
Haradhan, M. (2019). The First Industrial Revolution: Creation of a New Global Human Era. Published in: JSSH, 5(4), pp. 377-387.
Paul, S., Riffat, M., Yasir, A., Mahim, M. N., Sharnali,
B. Y., Naheen, I. T., Rahman, A., & Kulkarni, A. (2021). Industry 4.0 Applications for
Medical/Healthcare Services. JSAN, 10(3), 43. https://doi.org/10.3390/jsan10030043
Aceto, G., Persico, V., & Pescapé, A. (2020). Industry
0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. J. Ind. Inf. Integr. 18, 100129.
Raghupathi, W. (2010). Data mining in health care. Healthcare informatics: improving efficiency and productivity, 211, 223. Taylor & Francis.
Iaksch,J. Fernandes, E. & Borsato, M. (2021) Digitalization and Big data in smart farming – a review, JMA, 8(2), 333-349. DOI: 10.1080/23270012.2021.1897957
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health inf. sci. syst, 2(1). https://doi.org/10.1186/2047-2501- 2-3.
Shafi I, Din S, Farooq S, D?´ezIdlT, Breñosa J, Espinosa JCM, et al. (2024) Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing. PLoS ONE 19(3): e0298582. https://doi.org/10.1371/journal. pone.0298582.
Sahoo PK, Mohapatra SK, Wu SL. Analyzing healthcare big data with prediction for future health condition. IEEE Access. 2016;4:9786-99.
Wesolowski, A., Qureshi, T., Boni, M.F., Sundsøy, P.R., Johansson, M.A., Rasheed, S.B., Engø-Monsen,
K. and Buckee, C.O. (2015). Impact of human mobility on the emergence of dengue epidemics in Pakistan. PNAS.
Maroufkhani, P., Wagner, R., Wan Ismail, W. K., Baroto, M. B., & Nourani, M. (2019). Big data analytics and firm performance: A systematic review. Info, 10(7), 226.
Majnari? LT, Babi? F, O’Sullivan S, Holzinger A. AI and big data in healthcare: towards a more comprehensive research framework for multimorbidity. J. Clin. Med. 2021 Feb 14;10(4):766.
Bayrak, E. A., & Kirci, P. (2022). Big data analytics and radiomics to discover diagnostics on different cancer types. In Big Data Analytics for Healthcare (pp. 125-138). Academic Press.
Undavia, J. N., & Patel, A. M. (2022). An Article on Big Data Analytics in Healthcare Applications and Challenges. Research Anthology on Big Data Analytics, Architectures, and Applications, 1450- 1457.
Khanra, S., Dhir, A., Islam, A. N., & Mäntymäki, M. (2020). Big data analytics in healthcare: a systematic literature review. EIS, 14(7), 878-912.
Bani-Salameh, H., Al-Qawaqneh, M., & Taamneh, S. (2021). Investigating the adoption of Big Data management in healthcare in Jordan. Data, 6(2), 16.
Adnan, K., Akbar, R., Khor, S. W., & Ali, A. B. A. (2020). Role and challenges of unstructured big data in healthcare. Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019, Volume 1, 301-323.
Fatt, Q. K., & Ramadas, A. (2018). The usefulness and challenges of big data in healthcare. J. Healthc. Commun. 3(2), 21.
Stylianou, A., & Talias, M. A. (2017). Big data in healthcare: a discussion on the big challenges. Health Technol. 7(1), 97-107.
Dimitrov, D. V. (2016). Medical internet of things and big data in healthcare. Healthc. Inform. Res. 22(3), 156-163.
Alexandru, A. G., Radu, I. M., & Bizon, M. L. (2018). Big Data in Healthcare-Opportunities and Challenges. Inform Economica, 22(2).
Hermon R, Williams PA. Big data in healthcare: What is it used for?.
Sul Gi, K. (2013). Big data in healthcare hype and hope. ?? CDE ?? ????? ???, 122-125.
Flores, M., Maklin, D., Golob, M., Al-Ashaab, A., &
Tucci, C. (2018). Awareness towards industry 4.0: key enablers and applications for internet of things and big data. In Collaborative Networks of Cognitive Systems: 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, September 17-19, 2018, Proceedings 19 (pp. 377-386). Springer International Publishing.
Habibullah, S. N. A. (2018). Sample Survey on the Current Level of Awareness Regarding Big Data Among Academics and Practitioners of Statistics in Pakistan.
Schenker, N., Davidian, M., & Rodriguez, R. (2013). The ASA and big data. Amstat News, 432, 3-4.
Hussain, M. K., Hussain, M. J., Osman, M. B., Abdurraheem, T. M., & Al-Areefi, M. (2020). Big Data in Healthcare. IJRTE, 8(6), 2127-2131.
Shafiq, M., Naeem, M. A., Munawar, Z., & Fatima, I. (2017). Service quality assessment of hospitals in Asian context: An empirical evidence from Pakistan. INQ. 54, 0046958017714664.
Ghasemaghaei, M. (2021). Understanding the impact of big data on firm performance: The necessity of conceptually differentiating among big data characteristics. IJIM, 57, 102055.
Shahbaz, M., Gao, C., Zhai, L., Shahzad, F., & Hu, Y. (2019). Investigating the adoption of big data analytics in healthcare: the moderating role of resistance to change. J. Big Data, 6(1), 1-20.
Reginato, E., Fadda, I., & Paglietti, P. (2016). The influence of resistance to change on public-sector reform implementation: the case of Italian municipalities’ internal control system. IJPA, 39(12), 989-999.
Kotter, J. P., & Schlesinger, L. A. (1989). Choosing strategies for change (pp. 294-306). Macmillan Education UK.
Shafiq, M., Lasrado, F., & Hafeez, K. (2019). The effect of TQM on organizational performance: empirical evidence from the textile sector of a developing country using SEM. Total Qual Manag Bus. 30(1-2), 31-52.
Punjab Gazette (Extraordinary), dated 2 August 2010,
pages 465-477.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Proceedings
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a 