Revolutionizing Health Management: An Insight into the Impact of AI and Big Data

  • Wujun Chen The First Dongguan Affiliated Hospital, Guangdong Medical University
Keywords: Artifcial Intelligence; Big Data; Health Management; Personalized Medicine

Abstract

This article explores the opportunities and challenges of artifcial intelligence (AI) and big data for health management. It argues that AI and big data can revolutionize health management by enabling personalized, preventive, and predictive medicine; enhancing health research and innovation; and transforming health systems and policies. However, it also acknowledges that AI and big data pose ethical, legal, social, and technical challenges and risks that need to be addressed and mitigated. It proposes that ethical and governance frameworks forAI and big data for health should be based on human values and principles. The article provides an overview of the main aspects of health management that can be revolutionized byAI and big data, as well as some recommendations or suggestions for future research or practice in this feld.

References

[1] Swarthout, M., & Bishop, M. A. (2017). Population health management: Review of concepts and definitions. American Journal of

Health-System Pharmacy, 74(19), 1493–1498.

[2] Penman-Aguilar, A., Talih, M., Huang, D., Moonesinghe, R., Bouye, K., & Beckles, G. (2016). Measurement of health disparities, health inequities, and social determinants of health to support the advancement of health equity. Journal of Public Health Management and

Practice, 22(Suppl 1), S33-S42.

[3] Braveman, P., & Gottlieb, L. (2014). The social determinants of health: it’s time to consider the causes of the causes. Public Health

Reports, 129(Suppl 2), 19-31.

[4] Figueroa, C. A., Harrison, R., Chauhan, A., & Meyer, L. (2019). Priorities and challenges for health leadership and workforce man_x005fagement globally: a rapid review. BMC Health Services Research, 19(1), 239.

[5] Dangal, G. (2021). Essentials of health care management: challenges and way forward. Journal of Nepal Health Research Council,

19(1), I-III.

[6] Krumholz, H.M., & Dharmarajan, K. (2021). Management opportunities and challenges after achieving universal health coverage:

lessons from the US Veterans Health Administration. BMJ Quality & Safety, 30(8), 623-626.

[7] Alkhenizan, A., & Shaw, C. (2011). Impact of accreditation on the quality of healthcare services: a systematic review of the literature. Annals of Saudi Medicine, 31(4), 407-416.

[8] Bazzoli, G. J., Dynan, L., Burns, L. R., & Lindrooth, R. (2004). Is provider capitation working? Effects on physician-hospital integration and costs of care. Medical Care, 42(3), 297-305.

[9] Bloomfield, G. S., Vedanthan, R., Vasudevan, L., Kithei, A., Were, M., & Velazquez, E. J. (2014). Mobile health for non-communicable diseases in Sub-Saharan Africa: a systematic review of the literature and strategic framework for research. Globalization and Health,

10(1), 49.

[10] Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Pearson Education Limited.

[11] Bostrom, N. (2014). Superintelligence: paths, dangers and strategies. Oxford University Press.

[12] Trtica Majnarić, L., Babič, F., O’Sullivan, S., & Holzinger, A. (2021). AI and big data in healthcare: towards a more comprehensive research framework for multimorbidity. Journal of Clinical Medicine, 10(4), 766.

[13] Donabedian, A. (2005). Evaluating the quality of medical care. The Milbank Quarterly, 83(4), 691-729.

[14] Ngiam, K. Y., Khor, I. W., & Holzinger, A. (2019). Big data and machine learning algorithms for health-care delivery. The Lancet

Oncology, 20(5), e262-e273.

[15] Delpierre, C., & Lefèvre, T. (2023). Precision and personalized medicine: what their current definition says and silences about the

model of health they promote. Implication for the development of personalized health. Frontiers in Sociology, 8, 1112159.

[16] Clarke, E. A. (1974). What is preventive medicine? Canadian Family Physician, 20(11), 65-68.

[17] Gómez-Restrepo, C., & Gómez-Restrepo, C. (2019). Predictive, personalized, preventive and participatory (4P) medicine in telemedicine and ehealth: a systematic review. Telemedicine and e-Health, 25(7), 555-564.

[18] Ahmed, M. N., Toor, A. S., O’Neil, K., & Friedland, D. (2017). Cognitive computing and the future of health care: the cognitive

power of IBM Watson has the potential to transform global personalized medicine. IEEE Pulse, 8(3), 4-9.

[19] Powles, J., & Hodson, H. (2017). Google DeepMind and healthcare in an age of algorithms. Health and Technology, 7(4), 351-

367.

[20] Bhatia, S., & Abhishek, K. (2019). Babylon Health: a digital health service that uses natural language processing and machine

learning to provide online consultations with doctors and nurses, as well as symptom checkers and health assessments. Retrieved from https://

www. babylonhealth. com/

[21] World Health Organization. (2021, May 26). Using big data to inform health care: opportunities, challenges and considerations.

[22] Stark, Z., Dolman, L., Manolio, T. A., Ozenberger, B., Hill, S. L., Caulfield, M. J., Levy, Y., Glazer, D., Wilson, J., Lawler, M.,

Boughtwood, T., Braithwaite, J., Goodhand, P., Birney, E., & North, K. N. (2019). Integrating genomics into healthcare: a global responsibility. The American Journal of Human Genetics, 104(1), 13-20.

[23] Ahmed, M. N., Toor, A. S., O’Neil, K., & Friedland, D. (2017). Cognitive computing and the future of health care: the cognitive

power of IBM Watson has the potential to transform global personalized medicine. IEEE Pulse, 8(3), 4-9.

[24] Cozzoli, N., Salvatore, F. P., Faccilongo, N., & Milone, M. (2022). How can big data analytics be used for healthcare organization

management? Literary framework and future research from a systematic review. BMC Health Services Research, 22(1), 809.

[25] Coursera. (2023, May 17). AI in health care: Applications, benefits, and examples. https://www.coursera.org/articles/ai-in-health_x0002_care

[26] Daley, S., & Velazquez, R. (2023, March 24). AI in healthcare & medical AI examples to know. Built In. https://builtin.com/artificial-intelligence/artificial-intelligence-healthcare

Published
2023-12-27
Section
Review Article