Empirical Research on Implementation Paths of Combination of
Medical Services and Elderly Care in Communities Based on
Artificial Intelligence
Xinbo Liu
School of Economics and Management Jiangsu University of Science and Technology Zhenjiang, China
Keywords: Artificial Intelligence (AI), Elderly Care Services, Aging Society.
Abstract: According to statistic analysis, there are more than 0.2 billion people of 65 years old and above in China,
accounting for 14.2%. Aging will directly cause further highlighting of elderly care pressures. The multi-
classification orderly Logit statistical analysis made by SPSS software shows that an elderly care mode is a
factor which should not be neglected and affects happiness of old people. As a form of elderly care modes,
traditional combination of medical services and elderly care in communities has a lot of problems. The
paper proposes a suggestion of integrating artificial intelligence (AI) and combination of medical services
and elderly care in communities. Through analysis of a large size of data based on AI, an “algorithm model”
is established for testing and training, thereby making scientific judgement and formulating rational scheme
decisions and implementation paths.
1 INTRODUCTION
As stipulated in traditional standards of the United
Nations, the population of a country represents an
aging society if its elderly population of 60 years old
and above accounts 10% of the total population, or
that of 65 years old and above accounts for over 7%
of the total population. By the end of 2021, the
population of 65 years old and above in China has
increased to 200.56 million, accounting for 14.2% of
the nationwide population (Netease 2021). Hence,
positive coping with population aging becomes a
long-run strategic task for the country. As for
worldwide experience in coping with population
aging, scientific progress has created very important
technical conditions. It is an important measure to
realize smart and healthy elderly care using the new
generation of information technologies, so as to
practice the strategy of “healthy China”.
It is of an important research value to solve
problems existing in Chinese elderly care industry
through application of the Internet, AI as well as
advanced and effective comprehensive technologies
for diagnosis and treatment (Jin, Xia, Zhang, et al.,
2018). In recent years, combination of medical
services and elderly care has become the focus of
scholars. A lot of scholars such as Jin Xinyu, Wang
Hongyu, Liang Yu, Wang Xiaohui, Sun Yanling and
Zhang Jie have discussed strategies on linked
development of AI and combination of medical
services and elderly care from perspectives such as
Big Data analysis and cloud computing. AI and
combination of medical services and elderly care
further highlight huge advantages brought by
development of technical conditions. For example,
by analyzing a lot of data, AI establishes algorithm
models for testing and training, makes scientific
judgements and formulates rational scheme decisions
and implementation paths. Its powerful computing
efficacy far exceeds the ability level to be reached by
common humans. Through formulation of standards
for AI elderly care products, especially standards for
common intelligent detection equipment products of
physical health indexes and data services, medical
workers can be helped to deal with various
complicated matters and problems. As argued by the
author, there are good scientific conditions for
construction of “intelligent elderly care ecology”
with technologies such as AI, while high-quality
medical nursing technologies can permeate into
every link of elderly care services, which will
become an elderly care mode with good development
prospects. AI will integrate all the online and offline
medical and elderly resources to make up defects in
Liu, X.
Empirical Research on Implementation Paths of Combination of Medical Services and Elderly Care in Communities Based on Artificial Intelligence.
DOI: 10.5220/0011897100003613
In Proceedings of the 2nd International Conference on New Media Development and Modernized Education (NMDME 2022), pages 9-14
ISBN: 978-989-758-630-9
Copyright
c
 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
9

traditional combination of medical services and
elderly care, thereby creating a brand-new mode of
combination of medical services and elderly care in
communities based on AI.
2 PROBLEMS IN TRADITIONAL
COMBINATION OF MEDICAL
SERVICES AND ELDERLY
CARE IN COMMUNITIES
In the elderly population, empty-nest elderly people
account for a large proportion (eg. The empty-nest
elderly people in Jiangsu Province account for over a
half of old people in the whole province), while the
problem about their sense of happiness has drawn
more and more attention from the social public
people. Recently, the author used SPSS software to
make multi-classification orderly Logit statistical
analysis on 878 pieces of effective sample data in
Jiangsu Province and obtained regression results in
Table 1 through a reverse screening method (in view
of the article length, related operation processes are
omitted. Readers with interest in it can contact the
author).
Table 1: Regression results of multi-classification orderly analysis on influential factors of sense of happiness of empty-nest
elderly people.
Dependent
variable
Variable Estimated value Standard deviation Wald value
Unsatisfied 5.187
***
0.870 35.555
Common 8.447
***
0.926 83.168
Independen
t variable
Physical health 0.438
***
0.129 11.537
Degree of participation in
recreational and sports
activities
0.672
***
0.154 19.108
Mate 0.472
*
0.130 13.217
Degree of family harmony 0.262
*
0.124 4.476
Annual income of family 0.391
***
0.096 16.436
Degree of worry about life 0.592
*
0.157 14.150
Degree of concern for
government and societ
y
0.218
*
0.193 9.485
Elderly care mode 0.906
**
0.207 16.236
Model
fitting
Total chi-square of model 173.175 12
-2 log likelihood 891.535 0.000
Note: *, ** and *** stand for significance on the statistical levels of 10%, 5% and 1% respectively.
As shown in Table 1, there are diversified
influential factors on the sense of happiness of
empty-nest elderly people, among which the elderly
mode is a factor which cannot be neglected. As for
the elderly care mode, the service combining medical
services and elderly care in a community means that
the community provides the elderly with medical and
health services and elderly care services, mainly
aiming at satisfying elderly care service demands and
medical service demands of old people. In recent
years, with upgrading of the living standards and
medical conditions, the average lifespan of humans
has been increasingly prolonged, while the emphasis
and pursuit of lie quality have become the targets
pursued by old people. Combination of medical
services and elderly care is an important content in
national implementation of elderly work. However,
during actual practicing, there are certain difficulties
mainly as follows. Firstly, as for quality of medical
and elderly care services: old people suffer organ
aging and degradation of body functions, while
sudden attack of some diseases such as myocardial
infarction requests timely medical treatment, so that
communities and medical organizations should
provide timely aid. However, they lack these medical
conditions, so that care for old people’s demands is
insufficient; services are not proactive; and service
contents are of low levels. As pointed out by scholar
Zhu Hengpeng: the pain point of combination of
medical services and elderly care is “medical” other
NMDME 2022 - The International Conference on New Media Development and Modernized Education
10

than “elderly care”. Secondly, as for conditions of
medical services and elderly care: due to unbalanced
development of domestic economy, community
services for home care of elderly develop on different
levels, leading to differences between different
regions and communities; and in particular, if old
people fail to take care of themselves in daily life,
professional elderly care service organizations should
provide professional elderly care services, but rescue
effects are not satisfactory due to limited medical and
nursing conditions in communities. Thirdly, as for
supervision of medical services and elderly care: due
to lack of standardized standards and training for
industrial services, practitioners differ in professional
competences which are generally very low, while the
service quality is not satisfactory; and there are
potential dangers for safety in home based care for
the aged, such as occasional occurrence of abuse,
killing of old people or encroaching on their
properties by nannies.
3 ANALYSIS OF ADVANTAGES
OF COMBINATION OF
MEDICAL SERVICES AND
ELDERLY CARE IN
COMMUNITIES BASED ON AI
Elderly care based on AI is a new industrial form
emerging in recent years, boasting wide development
prospects. A lot of nation-level policies have been
issued to support it. Development of the Internet
technologies and application of the 5G technology
further prompt the leaping development of the
intelligent elderly care field. As believed by some
scholars, compared with traditional elderly care
modes, AI has advantages in four aspects including
information data, resource integration, manpower
substitution, and high efficiency and precision (Yang
2019). As a whole, advantages of elderly care based
on AI are mainly manifested in the following four
aspects:
3.1 Advantages in Data Collection
Through analysis, research and judgement of big data
of elderly care services, AI service platforms can
optimize and integrate service supply, thereby
knowing real demands of old people and providing
them with more personalized services. Through the
IoT technology such as wearable equipment,
physiological information data of old people can be
collected in real time. Then, through big data
analysis, reliable guarantee can be provided for
discovery of potential health and safety problems. By
establishing relatively interactive high-tech facility
platforms with good entertainment effects and
knowledge functions, inviting old people to join them
and making them master use functions as soon as
possible, their daily communications will be
strengthened. In this way, their mental satisfaction
will be enhanced, thereby improving their life quality
in old ages.
3.2 Advantages in Resource
Integration
Intellectualized information sharing is not limited by
time or space and can more rationally arrange use of
various service resources to reduce waste.
Information-based platforms of home based care for
the aged can interconnect elements such as old
people, families, communities and medical
organizations to realize information sharing, so that
demanders, suppliers and supervisors of services will
get what they want and play respective roles. In this
way, an industrial chain of elderly care services will
take shape more easily, thereby motivating
enterprises to realize innovation.
3.3 Advantages in Big Data Accuracy
Involvement of the AI mode breaks the traditional
running mode that requests in-person operations of
doctors throughout the medical treatment.
Autonomous research and judgement and decision
making ability of intelligent machines play a positive
role in reducing manpower cost, greatly increasing
working efficiency and quality of medical
organizations and doctors and reducing irrational
medical expenditures (Xiang, Wang, 2019). By
recording various data of the served targets and
accurately mastering old people’s living habits,
medical histories, hobbies and other information,
more intelligent, personalized and professional
services can be provided for old people. For example,
luminous and ultrasonic methods are used to
stimulate the cortex to cause generation of cortex
neuron electric signals, thereby improving patients’
motion conditions. Through continuous tracking and
analysis of health data, potential lesions will be found
for timely treatment (Moore, Loft, Clegern, et al.,
2015). In addition, potential demands of old people
will be predicted more accurately besides active
supply of effective and thoughtful services.
Empirical Research on Implementation Paths of Combination of Medical Services and Elderly Care in Communities Based on Artificial
Intelligence
11

3.4 Advantages in Fitting with Services
Human demands are classified into different levels.
For most old people, physiological, safe and
emotional accompanying nursing is still necessary.
As for the material living, both old people and their
families desire high-quality products and services
with rational prices. As for health demands, a lot of
old people with various chronic diseases need timely
and effective rescue especially upon the attack of
diseases. Szanton et al. (Szanton, Wolff, Leff, et al.,
2014) made systematic research on provision of
community medical services and elderly care
services such as nursing, rehabilitation and daily care
to African disabled old people living in America with
low income, finding that their living quality is
obviously improved. Design concepts of AI products
conform to people’s real life, liberate people’s
physical labour and start focusing on old people’s
living status quo from emotions. By connecting big
data, modernized intelligent products can store and
analyse people’s languages, behaviours and thinking
habits. Old people can make obstacle-free
communications in voice with intelligent products at
any time and any place, and know diversified
information without going out.
4 IMPLEMENTATION PATHS OF
INTEGRATION BETWEEN AI
AND COMBINATION OF
MEDICAL SERVICES AND
ELDERLY CARE IN
COMMUNITIES
4.1 Construction of AI Platforms
AI has unlimited potential in ensuring and improving
people’s livelihood by big data. It is necessary to
establish powerful AI platforms, so as to enhance
application of AI in the medical field and promote
mode innovation and business type innovation. These
platforms include medical health information of the
entire population, integration of medical service
information, and integration of elderly care service
information, and provide medical institutions and
care homes with comprehensive intelligent services.
It is also necessary to promote the integrated
innovation in AI technology, information technology
and medical and nursing services, and establish a
work pattern based on synchronous management of
information sharing, multi-department linkage,
disease diagnosis and treatment and health
management. The development of AI-based
community elderly care is indispensable from public
participation and support. The government should
enhance propaganda and guidance, and help people
know about significance and importance of AI-based
elderly care. Combination of medical services and
elderly care extends and expands traditional elderly
care concepts. Especially in the era of population
aging, it is necessary to rethink construction of
connotation relations and inevitable logic among AI,
medical services and elderly care. For this purpose,
the whole society should form an ideological
consensus, break the barrier between two resources,
namely elderly care and medical services, enhance
effective integration, provide old people with health
consultation and tutorship, daily life care, physical
and mental health care, intelligence entertainments or
the like, and make them live an insured, active and
happy life.
4.2 Perfection of Collaborative System
In general, public products and services are mainly
provided by the government which plays a very
important role in AI-based governance of community
elderly care services. Combination of medical
services and elderly care in communities is an
important system innovation. To realize mutual
integration and interconnection of the two fields,
namely medical services and elderly care, the
government should strength its own responsibilities
in combination of medical services and elderly care
in communities, enhance construction of governance
abilities, and in particular focus on development and
application based on AI technologies. At present,
smart care service system for the old in China is not
smooth enough, remaining in a start stage. In the
future, the development of smart care service system
for the old will depend on quicker establishment of a
smart management system, as well as better
combination of industry-university-research fields of
smart care (Wang, Xiang, 2019). It is necessary to
perfect services and supervisions, guide
establishment of healthy and orderly industrial
orders, promote benign development of the industry,
and enhance multi-department coordination and
cooperation. Governmental departments involved in
combination of medical services and elderly care in
communities, such as civil administration, health,
finance, education and judicial departments, should
confirm respective responsibilities, cooperate with
each other and give powerful policy support.
NMDME 2022 - The International Conference on New Media Development and Modernized Education
12

Intelligent information platforms should be built to
realize multi-departmental cooperation in promoting
industrial development of medical services and
elderly care. Restrictions on social medical
organizations to configure large medical equipment
and plan for reserved space should be relaxed.
Elderly care organization setting licenses should be
cancelled, while standard pilot demonstrative
construction of household services should be carried
out. In addition, the market mechanism should be
introduced to promote information-based
development of elderly care organizations. Elderly
care service organizations are supported to
voluntarily integrate professional service providers,
so as to implement services such as housekeeping,
food delivery and remote medical service. Assistance
should go to elderly care service organizations in
value-added services such as intelligent guardianship,
health management and emergent aid (Sun, Fu,
2016).
4.3 Improvement of Service Experience
Application of AI in combination of medical services
and elderly care in communities depends on high-
tech products. Main functions of product R&D are
centralized in intelligent medical services and healthy
elderly care. For the purpose of building an AI
industrial ecosystem and promoting integral
development of professional intelligence and
technological intelligence, development of intelligent
elderly care products should focus on practicality and
economic efficiency. It is necessary to accelerate
application of intelligent sensors and medical case
big data, enhance application in aspects such as latent
disease screening, chronic disease management,
rehabilitation process management or the like,
provide accurate medical services, increase supply of
medical resources and satisfy demands of old people.
For example, community intelligent access control
systems, emergent alarming systems, quick contact
systems or the like can be provided; intelligent home
such as audio and visual aid equipment should be
perfected to make old people’s life convenient,
enhance safety care and effectively extend their
motion scope and space; and mobile social contact
and service platforms suitable for the old can be
developed, while operation essentials should be easy
to learn and master, and these platforms can be used
as accompanying aids for basic communications to
make their life more interesting. As for establishment
of medical organizations, provision of services and
capital attraction, it is necessary to exert positive
effects of the market. Through combination of public
service supply by the government and purchase
service supply by the market, the service efficiency
and quality can be improved. The 5G technology will
surely “promote generation” of various application
scenes of elderly care services, thereby making
integration of resources more flexible and
convenient. In this way, different organizations will
make increasingly closer interactions and integration.
“Zero distance” can be further realized in boundaries
between different subjects. “A decentralized,
diversified and network-based cooperation structure
will enhance the ability of information sharing
between subjects of cooperative governance, so that a
complete industrial chain of social elderly care
services can be built through complementarities and
cooperation of respective resources and cluster
effects of social elderly care will take shape” (Zhang,
Lu, 2019). Under guidance, social power and social
resources will play a great demonstrative role in
combination of medical services and elderly care in
communities, so as to solve a lot of problems which
are difficult to tackle. For example, voluntary
workers, volunteers and non-profit organizations can
play a role; through cooperation with universities and
enterprises, R&D of AI-based elderly care service
products can be accelerated; policy support and
capital assistance are enhanced; and cooperation
between social power and traditional medical public
organizations can be promoted. It is necessary to
make organic combination of government, market
and social power, thereby co-making AI play a role
in home based care for the aged.
4.4 Cultivation of Versatile Talents
China starts the elderly care undertaking a little late,
but enters the aging stage very quickly, thereby
facing more complicated problems. In addition, the
quantity and professional level of existing nursing
workers can hardly satisfy the increasing demands
for development of elderly care in communities. As
found in the research, only a few of people with
relatively weak occupation quality work on careers
such as elderly care and medical rehabilitation, so a
lot of problems and diversified demands brought by
rapid population aging cannot be satisfied, while
supply-demand imbalance exists. It is necessary to
reconstruct a talent cultivation system focusing on
occupation education, encourage medical colleges
and universities to add relevant medical care majors,
enhance study of expertise of elderly care in
particular in professional cultivation proposals, and
open a batch of AI related courses. It is necessary for
relevant persons to master necessary medical
Empirical Research on Implementation Paths of Combination of Medical Services and Elderly Care in Communities Based on Artificial
Intelligence
13

knowledge in many fields such as medical image
recognition, electronic medical resources, drug R&D
and organizational data analysis, and guarantee a
certain time of on-post training in the practice. AI
should play a full role of cooperation in the field of
pharmaceutical services. For example, simple and
repeated work such as prescription checking,
prescription filling and drug distribution in the
traditional sense can be assigned to AI, so that the
personnel can have more time and vigour to make
self-improvement and try hard to become
irreplaceable high-quality pharmacists who can
provide personalized and individualized high-end
pharmaceutical services (Zhao, Yu, Tian, 2019). It is
necessary to enhance training of community workers
and cultivate a professional team familiar with use of
AI smart elderly care products and appliances as well
as a professional medical team for diagnosis, thereby
guaranteeing material and cultural demands of old
people.
5 CONCLUSION
Original contributions and innovations of the paper
are mainly embodied in the following aspects:
aiming at problems in traditional combination of
medical services and elderly care in communities, the
paper illustrates that the AI based combination of
medical services and elderly care in communities has
advantages of being more timely, comprehensive,
real, more efficiency in integration of medical service
and elderly care resources, optimal and more
accurate in medical and elderly care services
provided by big data, and more fitted in medical and
elderly care services, thereby proposing realization
paths of integrating AI with combination of medical
services and elderly care in communities. These
paths include: enhancement of top-layer design,
construction of AI platforms and elimination of
information isolated islands; application of policy
motivation, perfection of coordinated systems, and
linkage with medical organizations and communities;
improvement of service experience, expansion of
effective supply and improvement of service quality;
cultivation of versatile talents, construction of high-
quality human resource for elderly care services, etc.
ACKNOWLEDGMENT
This work was supported by the Project of education
reform research of higher education in Jiangsu
Province (2021JSJG624).
REFERENCES
Jin, X. Y., Xia, Q., Zhang, W., et al. (2018) “Medical-and-
Care Wisdom linkage” Pension Model Research and
Exploration. Strategic Study of CAE, (2): 92-98.
Moore, M. E., Loft, J. M., Clegern, W. C., et al. (2015)
Manipulating Neuronal Activity in the Mouse Brain
with Ultrasound: A Comparison with Optogenetic
Activation of the Cerebral Cortex. Neuroscience
Letters, (604): 183-187.
Netease. (2021) State Statistical Bureau Releases Latest
Population Data: Over 200 Million of Population
Aged 65 Years Old and Above!.
https://3g.163.com/dy/article_cambrian/GUIDC03K05
30ICNH.html/?load_id=22.
Szanton, S. L., Wolff, J. W., Leff, B., et al. (2014)
Capable Trial: A Randomized Controlled Trial of
Nurse, Occupational Therapist and Handyman to
Reduce Disability among Older Adults: Rationale and
Design. Contemporary Clinical Trials, (1): 102-112.
Sun, Y. L., Fu, J. Q. (2016) Status Quo and Development
Suggestions of Smart Elderly Care in Chengdu. Labor
and Social Security, (S1): 138-140.
Wang, X. H., Xiang, Y. H. (2019) Research and
Exploration on the Intelligent Care Service System for
the Aged People. Study and Practice, (5): 88-97.
Xiang, Y. H., Wang, X. H. (2019) A Research on the
Elderly Health Management in the Age of Artificial
Intelligence. Journal of Xinjiang Normal University
(Edition of Philosophy and Social Sciences), (4): 98-
107.
Yang, F. (2019) Innovative Logic and Practical Path of
Smart Elderly Care Development. Administrative
Tribune, (6): 133-138.
Zhang, J., Lu, Y. (2019) A Study of Cooperative
Governance Mode of the Pension Service in the
Context of Sharing Economy. Journal of Hohai
University (Philosophy and Social Sciences), (1): 79-
86.
Zhao, W. M., Yu, X. Y., Tian, K. (2019) Thoughts on the
Development of Pharmacists in the Field of Artificial
Intelligence. Health Economics Research, (8): 52-55.
Zhu, H. P. (2017) Pain Spot of “Combination of Medical
Services and Elderly Care”: “Medical Services”, not
“Elderly Care”. China State Finance, (24): 36-38.
NMDME 2022 - The International Conference on New Media Development and Modernized Education
14