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Najiyah Rizqi Maulidiyah

Abstract

The rapid development of science and technology today has touched various aspects of people's lives, from household chores to working methods and studying, which are made more accessible by technology. This situation is also discussed by innovations developed by the industry to answer challenges or demands from society and new opportunities to conduct in-depth research and technological development to facilitate human work, especially now that the development and sophistication of technology have also entered the medical world when artificial intelligence (AI) plays an essential role in hospital operations or also known as health care 4.0, where the healthcare delivery process becomes a cyber-physical system complete with IoT or internet of things and radio-frequency identification or RFID, wearables, all types of medical equipment, intelligent sensors medical robots, and others that are all integrated with cloud computing, extensive data analysis, and decision support techniques to achieve intelligent and interconnected health care delivery.

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How to Cite
Maulidiyah, N. R. (2023). HEALTHCARE 4.0 AS AN ESSENTIAL SOLUTION TO HOSPITAL OPERATING MANAGEMENT IN THE 4.0 INDUSTRY ERA. Business and Finance Journal, 8(2), 141–147. https://doi.org/10.33086/bfj.v8i2.3828
Section
Articles
healthcare, operation management, internet of things, artificial intelligence, big data, service management

References

Bell, E., Bryman, A., & Harley, B. (2019). Business Research Methods Fifth Edition. Oxford: Oxford University Press.

Chanchaichujit, J., Tan, A., Meng, F., & Eaimkhong, S. (2019a). An Introduction to Healthcare 4.0. Healthcare 4.0, 1–15. doi:10.1007/978-981-13-8114-0_1

Chanchaichujit, J., Tan, A., Meng, F., & Eaimkhong, S. (2019b). Internet of Things (IoT) and Big Data Analytics in Healthcare. Healthcare 4.0, 17–36. doi:10.1007/978-981-13-8114-0_2

Chanchaichujit, J., Tan, A., Meng, F., & Eaimkhong, S. (2019c). Internet of Things (IoT) and Big Data Analytics in Healthcare. Healthcare 4.0, 17–36. doi:10.1007/978-981-13-8114-0_2

Cinaroglu, S. (2015). Complexity in healthcare management: Why does Drucker describe healthcare organizations as a double-headed monster? International Journal of Healthcare Management, 9(1), 11–17. doi:10.1179/2047971915y.0000000016

Jacobs F. R. & Chase R. B. (2018). Operations and supply chain management (Fifteenth). McGraw-Hill Education.

Li, J., & Carayon, P. (2021). Health Care 4.0: A vision for smart and connected health care. IISE Transactions on Healthcare Systems Engineering, 1–10. doi:10.1080/24725579.2021.1884627

Salem-Schatz, S. R., Avorn, J., & Soumerai, S. B. (1993). Influence of Knowledge and Attitudes on the Quality of Physicians’ Transfusion Practice. Medical Care, 31(10), 868–878. http://www.jstor.org/stable/3765797

Succi, M. J., & Alexander, J. A. (1999). Physician involvement in management and governance: the moderating effects of staff structure and composition. Health care management review, 24(1), 33–44. https://doi.org/10.1097/00004010-199901000-00004

Qin, J., Liu, Y., & Grosvenor, R. (2016). A categorical framework of manufacturing for Industry 4.0 and beyond. Procedia CIRP, 52(C), 173–178. https://doi.org/10.1016/j.procir.2016.08.005

Weisbrod, B. A. (1991). The Health Care Quadrilemma: An Essay on Technological Change, Insurance, Quality of Care, and Cost Containment. Journal of Economic Literature, 29(2), 523–552. http://www.jstor.org/stable/2727522

Wikner, J., Yang, B., Yang, Y., & Williams, S. J. (2017). Decoupling thinking in service operations: a case in healthcare delivery system design. Production Planning & Control, 28(5), 387–397. doi:10.1080/09537287.2017.1298869

Najiyah Rizqi Maulidiyah, Miss