Remote Medical Treatment Research Articles

ANALYSIS OF THE FACTORS AFFECTING TELEMEDICINE USAGE ON ONLINE PURCHASE INTENTIONS FOR HEALTH INSURANCE

Telemedicine has emerged as a vital tool for providing remote medical consultations, diagnostics, and treatment, especially during the COVID-19 pandemic. However, the integration of telemedicine and health insurance has the potential to enhance healthcare accessibility and affordability. This study aims to analyze the relationships between variables to identify factors influencing the public's intention to purchase online, based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), supported by extension variables such as Risk and User Satisfaction, in line with digital marketing within the field of management. The study employs robust methodological approaches, such as Structural Equation Modeling (SEM) and Partial Least Squares (PLS), offering valuable frameworks for future research while addressing the evolving healthcare landscape in Indonesia. The research findings provide evidence-based insights to address psychological and societal barriers, supports policymakers and healthcare providers in enhancing telemedical strategies, and evaluates the role of government and insurance collaboration in overcoming adoption challenges.

Personal Data Protection in Telemedicine: Comparison of Indonesian and European Union Law

Telemedicine allows patients to receive remote medical consultation, diagnosis, and treatment through a digital platform. However, with the development of telemedicine, personal data protection has become one of the main concerns. This research aims to compare the regulation of personal data protection in telemedicine services in Indonesia and the European Union. The type of research in this scientific article is Normative Juridical Research with a comparative legal approach. The data sources obtained in this paper are primary data and secondary data. The data collection method is a literature study. The data analysis method in this paper uses a qualitative approach. The results show that personal data protection in Indonesia is regulated by Law Number 27 of 2022 concerning Personal Data Protection (PDP Law). While in the European Union, Personal Data Protection is regulated in the General Data Protection Regulation (GDPR) which regulates the collection and use of personal data by organizations. Some similarities in personal data protection in both telemedicine in Indonesia and in the European Union are that the same consent requires telemedicine providers to obtain clear and explicit consent from patients. Both telemedicine providers must not disclose the patient's personal data to third parties without the patient's consent. Telemedicine providers to implement security measures to protect patient personal data. Both Indonesia and the European Union give patients the right to access, correct, delete, and limit the use of their personal data

ДЕРЖАВНЕ РЕГУЛЮВАННЯ СФЕРИ ОХОРОНИ ЗДОРОВ’Я

The article conducted a comprehensive analysis of the current state of state regulation of the health care system in Ukraine, including reforming the financial system and the development of primary care. The main directions of state regulation are outlined, strategic priorities and prospects for further development are determined. Particular attention is paid to innovative approaches and the use of international experience in order to improve the quality of health care and to ensure the availability of medical services to all categories of the population. The need to focus on improving the availability of medical services and optimization of medical procedures is proven. It is found that innovative approaches and technologies in the health care system, including the development of telemedicine and electronic health, contribute to improving the quality of medical care and expanding the possibilities of remote medical treatment. The benefits of implementing electronic health technologies and their importance to ensure the availability of medical information and improve diagnostics are highlighted. Innovations in the treatment and diagnosis that cover personalized medicine and robotic technologies are considered. It is concluded that integration of innovative approaches and technologies into the health care system will help to improve the quality of medical services and health of the population as a whole.

Application and challenges of a metaverse in medicine.

Metaverse has been confirmed as a relatively amorphous concept of innovation, which refers to technological advancement. Metaverse, i.e., a coalition between reality world and virtual world, has created significant significance and convenience in education, communication, economy, etc. The COVID-19 outbreak has stimulated the growth of metaverse applications in medicine. The above-mentioned technology has broad applications while comprising online remote medical treatment, online conferences, medical education, preparation of surgical plans, etc. Moreover, technical, security, and financial challenges should be tackled down by the future widespread use of metaverse. Metaverse is limitlessly promising, and it will exert a certain effect on future scientific and technological advancements in the medical industry. The review article primarily aims to summarize the application of the metaverse in medicine and their challenge in the future of medicine.

Review of wireless body area networks: protocols, technologies, and applications

Nowadays, technology plays a vital part in our daily lives. Especially in medicine, such as consultations, examination, and operation, these processes are necessary and must be utilized accordingly. Medical checkups are required to ensure the patient’s wellbeing. However, many people suffer from severe health conditions and are not always able to leave the house for examination. They are also not aware of potential risks within their body and therefore, don’t feel the need to be examined. With the rise of new technological advantages, new solutions are being presented to tackle those issues. In the field of wireless sensor networks (WSNs), the wireless body area network (WBAN), alongside with its features and functionalities, can be regarded as one of the potential innovations for medicine, military, sport, and entertainment. With its tiny sensors, as well as with its plethora of applications, the WBAN is an excellent choice for remote medical surveillance and treatment. Furthermore, various routing protocols can provide proper solutions, depending on the application needs. However, challenges, such as energy efficiency, and security. are being further developed to improve the needs of its demands. This review is an overview of WBAN technologies, protocols, applications and potential challenges.

Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity.

Health is gold, and good health is a matter of survival for humanity. The development of the healthcare industry aligns with the development of humans throughout history. Nowadays, along with the strong growth of science and technology, the medical domain in general and the healthcare industry have achieved many breakthroughs, such as remote medical examination and treatment applications, pandemic prediction, and remote patient health monitoring. The advent of 5th generation communication networks in the early 2020s led to the Internet of Things concept. Moreover, the 6th generation communication networks (so-called 6G) expected to launch in 2030 will be the next revolution of the IoT era, and will include autonomous IoT systems and form a series of endogenous intelligent applications that serve humanity. One of the domains that receives the most attention is smart healthcare. In this study, we conduct a comprehensive survey of IoT-based technologies and solutions in the medical field. Then, we propose an all-in-one computing architecture for real-time IoHT applications and present possible solutions to achieving the proposed architecture. Finally, we discuss challenges, open issues, and future research directions. We hope that the results of this study will serve as essential guidelines for further research in the human healthcare domain.

Optoplasmonic biosensor for lung cancer telediagnosis: Design and simulation analysis

Applying quantum technology to dispatch face-to-face medical activities has generated significant interest. Unfortunately, the work on remote medical treatment soliciting quantum medication and information processing techniques is hard to observe. In this research, we proposed the Mach–Zehnder interferometer (MZI) based optoplasmonic biosensors (OPBs) with two homodyne detectors for remote-based lung cancer detection using classical and quantum mechanical principles. From the classical basis (Drude-Lorentz model and Kretschmann configuration), the influence of silver nanoparticles (Ag NPs) layers and biomolecule concentration on the performance of biosensors has been investigated. The different types of cancer cells for CL1-5, A549, and HT-29 have been used to analyze the sensitivity, and 319, 332, and 365 (deg/RIU) have been achieved, respectively. In addition, from quantum mechanical principles, the biosignals were conveyed through quantum teleportation in the form of the quantum state of light via fiber optics cable to enable precise remote detection of lung cancer. The obtained sensitivity and teleportation fidelity clearly reveal, the best candidacy of the proposed optoplasmonic biosensor for lung cancer telediagnosis.

DATA SECURITY IN HEALTHCARE USING IOT

While the Internet of Things (IoT) has been instrumental in healthcare data transmission, it also presents vulnerabilities and security risks to patients’ personalized health information for remote medical treatment. Currently most published security solutions available for healthcare data don't seem to be focused on data flow all the way from IoT sensor devices placed on a patient’s body through network routers to doctor’s offices. In this project, the IoT network facilitates healthcare data transmission for remote medical treatment, explored security risks related to unsecured data transmission, especially between IoT sensor devices and network routers, then proposed an encrypted security solution initiated at IoT sensor devices. Our proposed solution provides a cryptography algorithm embedded into the sensor device such that packets generated with patient’s health data are encrypted right at the sensor device before being transmitted. The proof of concept has been verified employing a lab setup with two level encryption at the IoT sensor level and two level decryption at the receiving end at the doctor’s office. Test results are promising for an end to-end security solution of healthcare data transmission in IoT. This project also provides further research avenues on IoT sensor driven security.

Identity-Based Designated-Verifier Proxy Signature Scheme with Information Recovery in Telemedicine System

With the promotion of Remote Medical Treatment, the sharing of big telemedicine data becomes more and more popular. Telemedicine based on wireless sensor networks collects blood pressure, pH value, pulse, and other medical information from the telemedicine healthcare terminal. The medical information is sent to the hospital or medical server for processing. The security protection of patient medical data, such as confidentiality and authenticity, has gradually become a critical problem to be solved in the development of cloud medical service platform. A provably secure identity-based designated-verifier proxy signature scheme with information recovery for cloud medical diagnosis network is proposed. The scheme is on the basis of computational Diffie-Hellman difficult problem and existential unforgeable against adaptive chosen message attacks in the random oracle model. The performance analysis shows that the scheme is appropriate to the remote medical diagnosis system.

Research on the Application of Cloud Computing in Medical Treatment

Cloud computing is changing most industries in the world, and the medical field, as the foundation of people's livelihood, also benefits from it. Limited by the limitations of medical business model, cloud computing applications are gradually going deep into the medical field through the reform of single sector business. Among them, remote medical treatment based on cloud video conference is highly recognized by the market. In addition, electronic medical records based on cloud computing technology remote escort and other applications are also important directions in the future! Starting with the current situation of cloud computing development in China, this paper analyzes the three advantages of cloud computing in medical clinical application, and finally lists the application of cloud computing in medical treatment.

Discussion on current state and research strategies of inter-disciplines of acupuncture-moxibustion and artificial intelligence

At present, the breakthrough of the key techniques of artificial intelligence (AI), including image recognition, deep learning, neural network, Robot technique, etc., greatly promote the development of discipline crossing and medicine. In the present paper, we make an in-depth discussion about the future application of inter-discipline techniques of acupuncture-moxibustion and AI. We think that some of the current instruments have been part of the new acupuncture-moxibustion devices and may have the potential to intersect with the AI discipline. Relying on these existing devices and those of meridian detection, we can obtain relatively objective data, and further conduct meridian-syndrome differentiation and big data collection to possibly realize remote medical treatment. In addition, we may also develop an AI system for studying the underlying mechanisms of acupuncture and moxibustion therapies. Nevertheless, there still exist a lot of problems and challenges in clinical, teaching and scientific researches. It is recommended that the discipline of acupuncture-moxibustion should be intersected with the AI subject and formulate appropriate development strategies, promoting a faster and better development of acupuncturology.

Telematics Healthcare Through Digital Terrestrial Television Networks: Applications and Perspectives

Background: The trend nowadays is the interconnection of rural health centers with a specialized monitoring medical center. Aim: The paper investigates the qualitative and quantitative characteristics that degrade the perceived video picture quality for a variety of short MPEG-4 video clips. Methods: In the present work our approach was considered in three branches; first the customization of video quality in terms of video and data compression, so maximum quality is achieved, second the use of the optimized video data transfer for emergency situations and third the subsequent creation of a “virtual doctor”. Results: Further on, novel architectures will be suggested in order to achieve the creation of a broadcasting network for healthcare telematics. Remote medical supervision and healthcare treatment will be provided to remote patients in rural health centers and understaffed areas that lack telemetry infrastructures and medical expertise personnel. Conclusions: The proposed architecture, along with the optimized data transmission, demonstrates the integration of present and forthcoming telecommunication network technologies enabling remote interactivity for fixed, portable and mobile users.

Design and Implementation of Personal Medical Assistant System Based on Edge Computing

In recent years, people pay more and more attention to health. In order to correctly respond to state of illness and reduce unnecessary medical expenses, in this paper, a personal medical assistant system based on edge computing is proposed. The overall structure and each functional module of the system are designed, and the tasks of each layer in the structure and implementation methods of each function are analyzed in detail. This personal medical assistant system can provide state analysis of illness, diagnosis and treatment advice, remote medical treatment and map navigation services, which can give a great help when people encounter diseases.

An artificial intelligence process of immunoassay for multiple biomarkers based on logic gates.

We present a universal platform to synchronously analyze the possible existing state of two protein biomarkers. This platform is based on the integration of three logic gates: NAND, OR and NOT. These logic gates were constructed by the principle of immune recognition and fluorescence quenching between fluorescein labelled antibodies/antigens and antibody-conjugated graphene oxide (GO). An artificial intelligence (AI) protein analysis process was designed by us and accordingly a small program was written in JAVA. This protein analysis process with its JAVA code may be applied to give logic judgments on the possible existing state of two protein components. We expect that our fundamental research on multiple biomarker analysis can provide potential application in AI-assisted medical diagnosis with the interface for remote medical treatment.

Remote medical treatment trial in the Okutama mountainous region

Remote medical treatment trial in the Okutama mountainous region

Genetic algorithm–optimized support vector machine for real-time activity recognition in health smart home

Health smart home, as a typical application of Internet of things, provides a new solution for remote medical treatment. It can effectively relieve pressure from shortage of medical resources caused by aging population and help elderly people live at home more independently and safely. Activity recognition is the core of health smart home. This technology aims to recognize the activity patterns of users from a series of observations on the user’ actions and the environmental conditions, so as to avoid distress situations as much as possible. However, most of the existing researches focus on offline activity recognition, but not good at online real-time activity recognition. Besides, the feature representation techniques used for offline activity recognition are generally not suitable for online scenarios. In this article, the authors propose a real-time online activity recognition approach based on the genetic algorithm–optimized support vector machine classifier. In order to support online real-time activity recognition, a new sliding window-based feature representation technique enhanced by mutual information between sensors is devised. In addition, the genetic algorithm is used to automatically select optimal hyperparameters for the support vector machine model, thereby reducing the recognition inaccuracy caused by manual tuning of hyperparameters. Finally, a series of comprehensive experiments are conducted on freely available data sets to validate the effectiveness of the proposed approach.

IoT Sensor Initiated Healthcare Data Security

While the Internet of Things (IoT) has been instrumental in healthcare data transmission, it also presents vulnerabilities and security risks to patients’ personalized health information for remote medical treatment. Currently most published security solutions available for healthcare data are not focused on data flow all the way from IoT sensor devices placed on a patient’s body through network routers to doctor’s offices. In this paper, we studied how the IoT network facilitates healthcare data transmission for remote medical treatment, explored security risks associated with unsecured data transmission, especially between IoT sensor devices and network routers, and then proposed an encrypted security solution initiated at IoT sensor devices. Our proposed solution provides a cryptography algorithm embedded into the sensor device such that the packets generated with patient’s health data are encrypted right at the sensor device before being transmitted. The proof of concept has been verified using a lab setup with two level encryption at the IoT sensor level and two level decryption at the receiving end at the doctor’s office. Test results are promising for an end-to-end security solution of healthcare data transmission in IoT. This paper also opens up further research avenues on IoT sensor driven security.

Sensor Initiated Healthcare Packet Priority in Congested IoT Networks

Currently healthcare data packets do not get any special priority while routing through the Internet of Things (IoT) networks. These data packets flow through routers using conventional QoS process which does not guarantee that a patient’s critical health data traveling in congested IoT network will actually be routed to doctors office on time. This leaves the remote medical treatment at risk with possible threat to patients’ lives. In this paper, we studied the current healthcare packet routing process in IoT and its performance issues in congested IoT networks, then proposed a sensor driven solution to prioritize healthcare data routing in congested IoT networks. In our proposed system, we add a healthcare data identifier in IP packet header at the sensor level, modify QoS software at the network router level, and provide the highest priority to healthcare data packet routing based on the healthcare data identifier seen at router QoS. A prototype has been built and tested by using TI Launchpads. Test data shows that healthcare packets with an identifier can route to doctors at 80% less latency than healthcare packets routed without an identifier. Additionally, the proposed system saves medical diagnostic cost, and more importantly, reduces the risk of losing human lives. A shorter version of this analysis has also been presented to IEEE conference. The detail analysis in this paper opens up multiple avenues for further research.

A study on the Symbiotic Development Plan of Housing Construction Industry in the Fourth Industrial Revolution: Focusing on the Expanding Suppliers and Consumenrs Choices

제4차 산업혁명의 핵심은 인공지능 활용이다. 각 제어 로봇(Robot)등이 개별 공정 및 상황에 알맞게 판단을 하여 실행되게 만드는 것이다. 제3차 산업혁명 시기는 자동화 생산시스템이 주도 하면서 대량생산과 중앙 집중화된 시스템의 통제로 이루어졌다. 주택건설업도 주택보급률에 목표를 두고, 산업중심 정책으로 아파트를 대량 공급해 왔다. 그 결과 주택보급률이 100%를 넘었다. 소비자의 불만요인을 파악하여 내진설계 강화, 노인과 1인 가구를 위한 주택, 주택 수명 주기도 50년~100년 사용가능한 새로운 시스템이 필요하다. 필터링(filtering)효과를 이용하여 소비자의 선택권을 확대 한다. 인공지능과 융･복합이 가능한 분야를 찾고, 소비자 중심 접근으로 주거 민원과 하자˙분쟁이 없도록 한다. 결국 주택산업도 소비자 중심의 시스템 전환과 개별 컴퓨터와 인공지능으로 주거서비스 품질 수준을 높여야 한다.In the future, the quality of housing will be more important than its quantity. The choice of consumers and suppliers must be broadened. In order for a company to continue to grow, it must be able to see what the society and consumers require. In the housing business, the Fourth Industrial Revolution will have a huge change. The purpose of this study is to find how housing construction industry can survive and develop in this era. the fourth Industrial Revolution. It also provides development plan. It provides the way of practical coexistence, core theory review about the housing construction and the Fourth Industrial Revolution. The filtering effect will make better housing quality than the existing housing market and new supply market. The starting point of housing supply is from consumers’ point of view. We will find complaint factors. And then we will suggest an alternative option with theoretical approach. Due to change over the system, it can find the residential management model from flawless system application, moving to destruction. Computers and artificial intelligence should be used to be contributed to intelligent future homes that suit the need of each consumer. Then, provider can find a new market. Furthermore, the government utilizes an existing housing for lower class. Throughout the requirement from users and an action analysis, the housing construction needs to institute flawless system that can solve the complaints fundamentally. The result could extend option such as remote medical treatment support for senior and a single household. The provider finds a new market with the way of utilizing artificial intelligence. Moreover, the government improves the public’s quality of life by providing new policy that can support the coexistence relationship.

일본의 ‘사회적 과제 해결형’ 4차 산업혁명에 관한 연구 (Japan's 4th Industrial Revolution Efforts in Response to Social Challenges)

일본의 ‘사회적 과제 해결형’ 4차 산업혁명에 관한 연구 (Japan's 4th Industrial Revolution Efforts in Response to Social Challenges)