INTERNASIONAL CONFERENCE ON
MULTIDISCIPLINARY APPROACHES IN HEALTH SCIENCE
VOLUME 2 .
ISSN 3032-4408 (Onlin.
https://ejournal.
poltekkes-denpasar.
id/index.
php/icmahs Artificial Intelligence Approaches: Challenges an Opportunities in Elderly Healthcare Ni Luh Putu Dian Yunita Sari 1*.
I Kadek Prastikanala 1 Study Program of Bachelor Nursing.
Stikes Bina Usada Bali.
Indonesia Corresponding author: dian.
yunita@binausadabali.
Article history Posted :
2024-11-07
Reviewed : 2024-10-25
Received : 2024-09-27
ABSTRACT
Advances in technology and information currently affect health services, especially elderly health services because this group requires intensive care provider assistance.
Artificial Intelligence (AI) is one of the alternatives that can help elderly health services.
This literature review aims to describe the artificial intelligence for the elderly and its benefits for the elderly's healthcare.
The method used is a literature review by analyzing several relevant articles to answer the purpose of the study.
The online databases used are Science Direct.
ProQuest, and Pubmed from 2020 to 2024.
The keywords used to sort articles in this study are: .
artificial intelligence, .
elderly, and .
There were nine selected articles that were analyzed.
There are three main themes found in this literature review, .
types of AI in elderly care, .
benefits of applying AI to elderly care, and .
challenges in applying it to elderly care.
These results can serve as reference materials for consideration of the application of AI in providing health services for the elderly.
Keywords: Artificial Intelligence.
Elderly.
Healthcare Ni Luh Putu Dian Yunita Sari et all : Artificial Intelligence Approaches: Challenges and Opportunities in Elderly Healthcare INTERNASIONAL CONFERENCE ON MULTIDISCIPLINARY APPROACHES IN HEALTH SCIENCE VOLUME 2 .
ISSN 3032-4408 (Onlin.
https://ejournal.
poltekkes-denpasar.
id/index.
php/icmahs Introduction The development of technology, especially Artificial Intelligence (AI), is growing rapidly and affecting various sectors of life.
One of the areas that is now increasingly open to opportunities for its utilization is in supporting the welfare of the elderly (WHO, 2.
As the elderly population increases around the world, including in Indonesia, the need for innovative solutions that can improve their quality of life and independence becomes more pressing.
The elderly often face various challenges, including physical decline, limited mobility, social isolation, and cognitive decline.
In this regard.
AI has great potential to provide solutions that can ease their burden and improve their daily quality of life.
The prevalence of AI utilization in the elderly varies In developed countries such as Japan, the US, and Europe, the adoption of this technology is becoming more widespread due to better digital infrastructure, availability of AI devices, and programmes that support the elderly (Qian et al.
, 2.
Some of the uses of AI for the elderly include voice-based personal assistant systems such as smart speakers, health applications that monitor body vitals, companion robots that can help with daily tasks, and applications that help detect and warn of emergencies such as falls or disease attacks quickly.
In addition.
AI can also be used in the context of telemedicine, which allows the elderly to gain access to healthcare services without having to leave home.
It can assist in reminding the elderly to take their recommendations, and monitoring their mental health through behavioural pattern analysis (Elizabeta et al.
, 2.
With this technology, the elderly can live more independently, but still under good supervision.
However, while the utilization of AI provides many benefits, there are challenges that need to be considered, such as data security, privacy, and technology adaptation by the elderly who may not be familiar with advanced technology.
Therefore, it is important to design AI solutions that are intuitive, safe, and easy to use by the elderly.
With these developments, the hope is that AI can contribute significantly to improving the quality of life of the elderly, reducing the burden of care, and encouraging society to care more about their well-being (Chu et al.
, 2.
The utilization of AI for the elderly has not yet been done in Indonesia.
Access to the internet and technological devices is still limited in many parts of Indonesia, especially in remote To effectively implement AI, adequate technological infrastructure such as a stable and fast internet network is needed, which unfortunately is not yet evenly distributed throughout Indonesia.
The development and implementation of AI technology requires substantial investment.
Many institutions and elderly care service providers in Indonesia do not have sufficient budget to adopt this advanced technology.
In addition, the price of AI-based devices, such as companion robots and health sensors, is still too expensive for most Indonesians (Lukitawati & Novianto, 2.
In addition, current government policies focus more on basic infrastructure development, public health, and education.
While there are efforts to support digital transformation in various sectors, specific attention to the utilization of AI for elderly care has not been a top priority.
Technology can be a consideration to the gaps that occur and the urgency of the needs of the elderly with every disease that they suffer today.
Further empirical studies are related to the right type of technology to answer this challenge.
This literature review aims to describe the artificial intelligence for Ni Luh Putu Dian Yunita Sari et all : Artificial Intelligence Approaches: Challenges and Opportunities in Elderly Healthcare INTERNASIONAL CONFERENCE ON MULTIDISCIPLINARY APPROACHES IN HEALTH SCIENCE VOLUME 2 .
ISSN 3032-4408 (Onlin.
https://ejournal.
poltekkes-denpasar.
id/index.
php/icmahs the elderly and its benefits for the elderlyAos Research Method The method used in this study is a literature review.
This study is analyzed by selecting some literature that is relevant to the purpose of writing in order to obtain new Online databases used are ProQuest.
Pubmed and Science Direct starting from 2020 until 2024.
The keywords used to sort articles in this study are: .
Artificial Intelligent, .
Elderly, .
Healthcare.
Terdapat 10 artikel yang dipilih setelah cut off the duplication articles.
Results and Discussions The following are the results of the analysis of the 9 articles selected in this literature review.
There are three themes obtained, namely the types of AI in elderly care, the benefits of applying AI to elderly care, and the challenges in applying it to elderly care.
Table 1.
Results obtained Author/ Title Research Journal Results Year Papadopo The CARESSES International This study evaluated the use of culturally et Randomised Journal of competent AI embedded in socially , .
Controlled Trial: Social assistive robots (Pepper robot.
to Exploring the Health- Robotics support the mental well-being of older Related Impact of adults in care homes in the UK and Japan.
Culturally Competent Results suggested that AI-assisted robots Artificial Intelligence helped improve emotional well-being but Embedded Into had minimal effects on loneliness.
Socially Assistive Ni Luh Putu Dian Yunita Sari et all : Artificial Intelligence Approaches: Challenges and Opportunities in Elderly Healthcare INTERNASIONAL CONFERENCE ON MULTIDISCIPLINARY APPROACHES IN HEALTH SCIENCE VOLUME 2 .
ISSN 3032-4408 (Onlin.
https://ejournal.
poltekkes-denpasar.
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php/icmahs Robots and Tested in Older Adult Care Homes Han et Randomized Controlled medRxiv , .
Trials Evaluating AI in Clinical Practice: A Scoping Evaluation Damiani Potentiality , algorithms .
artificial intelligence adoption to improve systematic review Padhan et Artificial Intelligence , .
(AI) and Robotics in Elderly Healthcare:
Enabling Independence Quality of Life Salah et Accelerometer-based .
elderly fall detection system using edge artificial intelligence Sheehy et Development .
Initial Testing of an Artificial IntelligenceBased Virtual Reality Companion for People Living with Dementia in Long-Term Care Wang and Integrating Artificial Hsu Intelligence .
Wearable IoT System in Long-Term Care Environments BMJ Open This RCT evaluated the impact of an AIbased medication management system.
The AI helped elderly patients adhere to complex medication schedules, improving medication compliance and reducing A trial tested an AI-driven system designed to predict the onset of health deterioration in elderly patients.
The system used machine learning algorithms to analyze vital signs and behavioral improvements in early detection Cureus The applications of AI and robotics can promote independence, monitoring health, helping, and enhancing social interaction of elderly.
International Journal Electrical and Computer Engineering Journal Clinical Medicine This research found the efficacy of detecting falls in a resource- constrained microcontroller at the edge of the network using a wearable accelerometer.
Sensors The Integrated Intelligent Long-Term Care Service Management System focuses on improving a personalized care service system for the elderly, encompassing health, nutrition, diet, and health education aspects.
The Wearable Internet of Things Care System primarily supports Virtual reality and artificial intelligence can be used to create a virtual companion that can be acceptable and enjoyable to some people living with dementia in long term care.
Ni Luh Putu Dian Yunita Sari et all : Artificial Intelligence Approaches: Challenges and Opportunities in Elderly Healthcare INTERNASIONAL CONFERENCE ON MULTIDISCIPLINARY APPROACHES IN HEALTH SCIENCE VOLUME 2 .
ISSN 3032-4408 (Onlin.
https://ejournal.
poltekkes-denpasar.
id/index.
php/icmahs physiological signal detection devices and electronic fences.
Hacking Text mining in long- PLoS ONE This study demonstrates the usefulness term care: Exploring of text mining to extend our knowledge .
the usefulness of regarding quality of care in a nursing artificial intelligence in home setting.
Text mining can lead to a nursing home setting valuable new insights for long-term care for older adults.
Porkodi Healthcare Robots AI and IoT- This study explained that a robot in the Enabled with IoT and Based future can prevent interventions, perform Kesavaraj Artificial Intelligence Intelligent multiple functions, provide motivational a .
for Elderly Patients Automation in Robotics educational data, and alert an ambulance in case of an emergency.
The themes found in this literature elderly in demonstrating physical exercise at review are the types of AI in elderly care, the Virtual reality is also able to increase the benefits of applying AI to elderly care, and the knowledge, attitude, self-efficacy, and intention challenges in applying it to elderly care.
The of the elderly in performing oral care for the types of AI applied to the elderly are social elderly with disabilities (Chang et al.
, 2.
So, robots, assistive robots, microcontrollers, some of the above types of AI are relevant for Artificial Intelligence-Based Virtual Reality long-term care of the elderly.
Companion.
Text mining, and Robots Enabled This literature review examines some of with IoT (Hacking et al.
, 2022.
Padhan et al.
the benefits and uses of AI in elderly care.
Some Papadopoulos et al.
, 2022.
Porkodi & of the benefits obtained are assisting daily living Kesavaraja, 2021.
Salah et al.
, 2.
These activities, monitoring drug compliance, types of AI help the elderly in long-term care preventing the risk of falls, health education, and improve their quality of life.
The results of and also being able to determine the quality of this literature review are in line with several long term care services in the elderly group previous studies and reviews.
Costa et al.
(Han et al.
, 2021.
Sheehy et al.
, 2024.
Wang & mentioned that a robot named PHAROS Hsu, 2.
The results of this review are in line (PHysical Assistant RObot Syste.
helps the with some previous results.
Lee et al.
elderly in planning and performing regular mentioned that the benefits of AI for the elderly physical exercises.
In addition, another study are play therapy, counseling service, created a robot named CHARMIE that is able to conversation, and dementia prevention perform tasks, such as the task of picking up programs and prevent the overload of and placing items, moving items, following In addition.
Shiwani et al.
also workers/patients/users, verbal communication mentioned that AI can help the elderly in .
istening and speakin.
, visual analysis of the monitoring and early diagnosis of disease, environment, navigation, object recognition and stratified care and care coordination between manipulation (Ribeiro et al.
, 2.
Virtual healthcare providers.
So, the benefits of AI in reality is also said to be able to help with elderly elderly healthcare can be as monitoring.
Heiyanthuduwa et al.
, .
mentioned management, and maintenance functions.
that virtual reality called VirtualPT helps the Ni Luh Putu Dian Yunita Sari et all : Artificial Intelligence Approaches: Challenges and Opportunities in Elderly Healthcare INTERNASIONAL CONFERENCE ON MULTIDISCIPLINARY APPROACHES IN HEALTH SCIENCE VOLUME 2 .
ISSN 3032-4408 (Onlin.
https://ejournal.
poltekkes-denpasar.
id/index.
php/icmahs The perceived benefits of AI in healthcare also pose challenges in some Racine et al.
mentioned that the challenges faced in implementing AI in healthcare settings are dynamic information and consent, transparency and ownership, and privacy and discrimination.
In addition, there are several challenges mentioned by Schwendicke et al.
mentioned that challenges in the application of AI are limited data availability, accessibility, structure, and completeness, lack of methodological rigor and standards in its development, and practical questions around the value and usefulness of these solutions, as well as ethics and Other research from Sun and Medaglia .
also mentioned that the challenges of implementing AI in elderly care Conclusion This literature review resulted in three main themes, namely .
types of AI in elderly care, .
benefits of applying AI to elderly care, and .
challenges in applying it to elderly care.
These results can serve as reference materials for consideration of the application of AI in providing health services for the elderly.
Acknowledgement The authors thank to Stikes Bina Usada
Bali for facilitating online databases in of this Conflic of Interest
There is no conflict of interest in this Reference