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| LETTER TO EDITOR |
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| Year : 2023 | Volume
: 14
| Issue : 1 | Page : 100 |
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Artificial intelligence in home-based geriatric care: The newer approach
Kalaivani Annadurai, Hanitha Rajasekar, DC Vidya
Department of Community Medicine, Bhaarath Medical College and Hospital, Bharath Institute of Higher Education and Research, Selaiyur, Tamil Nadu, India
| Date of Submission | 15-Nov-2021 |
| Date of Acceptance | 29-Nov-2021 |
| Date of Web Publication | 27-Jul-2023 |
Correspondence Address:
Hanitha Rajasekar
Department of Community Medicine, Bhaarath Medical College and Hospital, Bharath Institute of Higher Education and Research, Selaiyur - 600 126, Tamil Nadu
India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/ijpvm.ijpvm_480_21
How to cite this article:
Annadurai K, Rajasekar H, Vidya D C. Artificial intelligence in home-based geriatric care: The newer approach. Int J Prev Med 2023;14:100 |
Dear Editor,
As per World Health Organization (WHO) report, by the end of 2030, nearly one in six people will be over 60 years and it would double from 1 billion to 2 billion by the year 2050. The United Nations General Assembly declared 2021–2030 as a decade of healthy aging and proposed WHO to lead the path for its implementation.[1] The growth in elderly population necessitates an upgradation of health requirement. It has always been a challenge in managing dependent aging population at household level and is high time that newer approaches like artificial intelligence are given priority.
Artificial intelligence is a kind of machine learning, that is, the simulation of human intelligence processes by machines, especially computer systems.[2] AI tools are used in the field of cancer, neurology, and cardiology for early diagnosis, treatment, and prognosis evaluation. It is used as both virtual and physical part; virtual is electronic record systems and physical part being use of robotics in surgeries, intelligent prosthesis for handicapped and elderly.[3]
Asian and European countries are home for world's largest elderly population, Japan is at the top 28% followed by Italy 23% and Finland, Portugal, and Greece occupy the top five positions with less than 22% of population.[4] The beneficiaries for home-based elderly care were predominantly women and those with chronic comorbid conditions like stroke, end-stage renal diseases, advanced cancer stage, severe arthritis, Alzheimer's disease, Parkinson's disease, and acute conditions like accidental injuries. Services provided under home-based care were predominantly medical/skilled nursing services, personal care, counseling, and therapeutic services.[5]
Recent advances in healthcare technology have proven to be effective under various modalities, role of artificial intelligence aims in providing a quality health care to all sections of population. Its use in geriatric care is growing day by day and some of the newer approaches in home-based care geriatric care are listed in [Table 1]. | Table 1: Newer artificial intelligence approaches in home-based elderly care[5]
Click here to view |
Major interventions in the form of artificial intelligence are the need of the hour. To conclude, artificial intelligence in health care services would provide an overall efficient system in managing elderly population and improve their quality of life, provided there should be a balance between the utilization of manpower and machine. Careful consideration of ethical issues must be done to avoid dominance of machines over men.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
| References | |  |
| 1. | |
| 2. | Albert S, Brody E. When elder care is viewed as child care: Significance of elders' cognitive impairment and caregiver burden. Am J Geriatr Psychiatry 1996;4:121-30.  |
| 3. | Amisha, Malik P, Pathania M, Rathaur VK. Overview of artificial intelligence in medicine. J Family Med Prim Care 2019;8:2328-31. |
| 4. | |
| 5. | |
[Table 1]
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