Integration of Robotic Process Automation & Artificial Intelligence in Healthcare Especially for Elderly Citizens in South Asian Region
Description
Worldwide there is an increase in life expectancy, due to better and advanced medical consciousness. Thus, today’s pandemic situation has again pinpointed the crucial fact of prioritizing the medical and health services in every respect, especially for the most respected, vulnerable and helpless citizens of our society, the elderly population. Ageing issues automatically bring in factors such as health care and human rights. An increase in the elderly population brings in a demand for increase in health services, both physical and mental health. Nowadays, the elderly also want to preserve their independence and live on their own. This research study perceives assistive robotic use to be a good solution to the problem of the aged which can be achieved through implementing Robotic Process Automation [RPA) along with Artificial Intelligence [AI). RPA is related to process management and AI, particularly machine learning and robotics. Research work in developed nations in Europe and even in China and Japan, are exploring the use of AI along with RPA as a solution to address the needs and miseries of the elderly population. As such this study probes into the specifications that will meet the requirements, be acceptable and cost effective for the senior citizens of the global village, considering both the developing and overly populated South Asian nations as background.
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References
- Ageing [Internet]. 2019. Available from: https://www.un.org/en/sections/issuesdepth/ageing/
- Parke, K., &Horow JM. Family Support in Graying Societies. 2015;
- Deusdad, B. A., Pace, C., &Anttonen A. Facing the Challenges in the Development of Long-Term Care for Older People in Europe in the Context of an Economic Crisis. J Soc Serv Res [Internet]. 2016;42[2], 144– 150. Available from: https://doi.org/10.1080/01488376.201 5.1133147
- Nowson, C. A., Appleton, J., &Grieger JA. The impact of dietary factors on indices of chronic disease in older people: A systematic review. J Nutr Health Aging. 2018;22[2], 282–296.
- National Academies of Sciences and Medicine, E., & Population C on. Future Directions forthe Demography of Aging: Proceedings of a Workshop. In: National Academies Press. 2018
- Keehan, S. P., Stone, D. A., Poisal, J. A., Cuckler, G. A., Sisko, A. M., Smith, S. D., … Lizonitz JM. National health expenditure projections, 2016–25: price increases, aging push sector to 20 percent of economy. Health Aff. 2017;36[3], 553–563.
- Smart home tests first elder care robot. Washingt State Univ. 2019;
- Tan, C. C. L., Cheng, K. K. F., & Wang W. Self‐care management programme for older adults with diabetes: An integrative literature review. Int J Nurs Pract. 2015;21:115–124
- Aubergé, V., Sasa, Y., Bonnefond, N., Meillon, B., Rey-gorrez, J., Schwartz, A., …Nebout F. The eee corpus: socioaffective" glue" cues in elderly-robot interactions in a smart home with the emoz platform. 5th Int Work Emot Soc Signals, Sentim Linked Open Data [p Lr 2014]. 2014;
- Do, H. M., Pham, M., Sheng, W., Yang, D., & Liu M. RiSH: A robotintegrated smart home for elderly care. Rob Auton Syst. 2018;101:74– 92.