In this era of post-COVID-19,humans are psychologically restricted to interact less with other humans.According to the world health organization(WHO),there are many scenarios where human interactions cause severe mult...In this era of post-COVID-19,humans are psychologically restricted to interact less with other humans.According to the world health organization(WHO),there are many scenarios where human interactions cause severe multiplication of viruses from human to human and spread worldwide.Most healthcare systems shifted to isolation during the pandemic and a very restricted work environment.Investigations were done to overcome the remedy,and the researcher developed different techniques and recommended solutions.Telepresence robot was the solution achieved by all industries to continue their operations but with almost zero physical interaction with other humans.It played a vital role in this perspective to help humans to perform daily routine tasks.Healthcare workers can use telepresence robots to interact with patients who visit the healthcare center for initial diagnosis for better healthcare system performance without direct interaction.The presented paper aims to compare different telepresence robots and their different controlling techniques to perform the needful in the respective scenario of healthcare environments.This paper comprehensively analyzes and reviews the applications of presented techniques to control different telepresence robots.However,our feature-wise analysis also points to specific technical,appropriate,and ethical challenges that remain to be solved.The proposed investigation summarizes the need for further multifaceted research on the design and impact of a telepresence robot for healthcare centers,building on new perceptions during the COVID-19 pandemic.展开更多
Objectives Robotic-assisted surgery(RAS)is a minimally invasive technique practiced in multiple specialties.Standard training is essential for the acquisition of RAS skills.The cost of RAS is considered to be high,whi...Objectives Robotic-assisted surgery(RAS)is a minimally invasive technique practiced in multiple specialties.Standard training is essential for the acquisition of RAS skills.The cost of RAS is considered to be high,which makes it a burden for institutes and unaffordable for patients.This systematic literature review(SLR)focused on the various RAS training methods applied in different surgical specialties,as well as the cost elements of RAS,and was to summarize the opportunities and challenges associated with scaling up RAS.Methods An SLR was carried out based on the Preferred Reporting Items for Systematic reviews and Meta-Analyses reporting guidelines.The PubMed,EBSCO,and Scopus databases were searched for reports from January 2018 through January 2024.Full-text reviews and research articles in the English language from Asia-Pacific countries were included.Articles that outlined training and costs associated with RAS were chosen.Results The most common training system is the da Vinci system.The simulation technique,which includes dry-lab,wet-lab,and virtual reality training,was found to be a common and important practice.The cost of RAS encompasses the installation and maintenance costs of the robotic system,the operation theatre rent,personnel cost,surgical instrument and material cost,and other miscellaneous charges.The synthesis of SLR revealed the challenges and opportunities regarding RAS training and cost.Conclusions The results of this SLR will help stakeholders such as decision-makers,influencers,and end users of RAS to understand the significance of training and cost in scaling up RAS from a managerial perspective.For any healthcare innovation to reach a vast population,cost-effectiveness and standard training are crucial.展开更多
The purpose of this article is to describe recommendations towards the design and direction of development for Humanoid Nursing Robots (HNRs) from the standpoint of researchers of nursing care practice. Efforts to int...The purpose of this article is to describe recommendations towards the design and direction of development for Humanoid Nursing Robots (HNRs) from the standpoint of researchers of nursing care practice. Efforts to introduce robot technologies in nursing practice and to use them in elderly and high-tech healthcare environments have begun in developed countries like Japan. Companies are developing various types of robots, although their types and functionalities continue to require a clear identification and definition. Regardless, robot developments for health care purposes are progressing well to meet universal technological demands. While human caring has been a human-to-human relationship, in a nonhuman-to-human relationship in the case of HNRs, it is essential to consider ethical concerns and human safety. If HNRs are to support patients directly, they must be required to have the same level of comprehensive judgment ability and responsiveness as that of human nurses. This includes abilities to genuinely observe, judge, rapidly respond, and conduct human caring practice emphasizing individuality. If HNRs support patients independently, abilities which are much like those of humans will be required of them in addition to the appropriate intelligence and skillfulness to do so. A low level robot nurse exerts work that should be called non-nursing or as a medical aid assistant no matter who thinks and what these technologies can do. Similarly, a higher level HNR with higher level artificial intelligence is expected to exceed the capabilities of human beings. As such, current discourse and debate also include the concern that HNRs may now become one’s superior or rather that the HNR is a subordinate thereby requiring human management.展开更多
The development of the Internet of Things has facilitated the rapid development of various industries.With the improvement in people’s living standards,people’s health requirements are steadily improving.However,owi...The development of the Internet of Things has facilitated the rapid development of various industries.With the improvement in people’s living standards,people’s health requirements are steadily improving.However,owing to the scarcity of medical and health care resources in some areas,the demand for remote surgery has gradually increased.In this paper,we investigate remote surgery in the healthcare environment.Surgeons can operate robotic arms to perform remote surgery for patients,which substantially facilitates successful surgeries and saves lives.Recently,Kamil et al.proposed a secure protocol for surgery in the healthcare environment.However,after cryptanalyzing their protocol,we deduced that their protocols are vulnerable to temporary value disclosure and insider attacks.Therefore,we design an improved authentication and key agreement protocol for remote surgeries in the healthcare environment.Accordingly,we adopt the real or random(ROR)model and an automatic verification tool Proverif to verify the security of our protocol.Via security analysis and performance comparison,it is confirmed that our protocol is a relatively secure protocol.展开更多
Background: Personal hygiene in non-self-sufficient patients is essential to prevent the proliferation and spread of bacteria from one patient to another, both through inanimate objects (fomites) and directly through ...Background: Personal hygiene in non-self-sufficient patients is essential to prevent the proliferation and spread of bacteria from one patient to another, both through inanimate objects (fomites) and directly through healthcare workers. The first 1000 bed hygiene treatments performed by the collaborative robot “COPERNICO Surveillance & Prevention” in 229 non-self-sufficient patients were analyzed. Materials and Methods: A total of 229 patients were included: 215 patients came from emergency contexts or home, and 14 from long-term care facilities;the presence of sepsis, venous or urinary catheters, non-invasive ventilation, bedsores, clinical condition at discharge, and treatment sessions performed were recorded. All patients were hospitalized in the Geriatrics, Medicine and Pneumology departments. The system is able to collect and process data in real time. Results: Seventy-one patients with community-acquired sepsis and fourteen with healthcare-associated infections were treated;sixty-two had pressure ulcers. The analysis of the first 1000 treatments shows the healing of almost all sepsis cases, positive evolution of pressure ulcers, and hospital stays comparable to those of the entire group of 1008 hospitalized in the same period. There was no onset of side effects or complications. Conclusions: Although the healthcare setting is not among those at greatest risk of infections, the clinical efficacy, along with excellent evaluations from patients, family members, and healthcare personnel and the absence of side effects and complications, makes the system exceptionally manageable and user-friendly for non-self-sufficient patients.展开更多
Two artificial agents(a humanoid robot and a virtual human) are enriched with various similar intelligence,autonomy, functionalities and interaction modalities. The agents are integrated in the form of a cyber-physica...Two artificial agents(a humanoid robot and a virtual human) are enriched with various similar intelligence,autonomy, functionalities and interaction modalities. The agents are integrated in the form of a cyber-physical-social system(CPSS) through a shared communication platform to create a social ecology. In the ecology, the agents collaborate(assist each other) to perform a real-world task(search for a hidden object)for the benefits of humans. A robot-virtual human bilateral trust model is derived and a real-time trust measurement method is developed. The role of taking initiative in the collaboration is switched between the agents following a finite state machine model triggered by bilateral trust, which results in a mixedinitiative collaboration. A scheme is developed to evaluate the performance of the agents in the ecology through the CPSS.The results show that the robot and the virtual human perform satisfactorily in the collaboration through the CPSS. The results thus prove the effectiveness of the real-world ecology between artificial agents of heterogeneous realities through a shared platform based on trust-triggered mixed-initiatives. The results can help develop adaptive social ecology comprising intelligent agents of heterogeneous realities to assist humans in various tasks through collaboration between the agents in the form of a CPSS.展开更多
文摘In this era of post-COVID-19,humans are psychologically restricted to interact less with other humans.According to the world health organization(WHO),there are many scenarios where human interactions cause severe multiplication of viruses from human to human and spread worldwide.Most healthcare systems shifted to isolation during the pandemic and a very restricted work environment.Investigations were done to overcome the remedy,and the researcher developed different techniques and recommended solutions.Telepresence robot was the solution achieved by all industries to continue their operations but with almost zero physical interaction with other humans.It played a vital role in this perspective to help humans to perform daily routine tasks.Healthcare workers can use telepresence robots to interact with patients who visit the healthcare center for initial diagnosis for better healthcare system performance without direct interaction.The presented paper aims to compare different telepresence robots and their different controlling techniques to perform the needful in the respective scenario of healthcare environments.This paper comprehensively analyzes and reviews the applications of presented techniques to control different telepresence robots.However,our feature-wise analysis also points to specific technical,appropriate,and ethical challenges that remain to be solved.The proposed investigation summarizes the need for further multifaceted research on the design and impact of a telepresence robot for healthcare centers,building on new perceptions during the COVID-19 pandemic.
基金The authors are the awardees of the Indian Council of Social Science Research(ICSSR)Research Program(F.No.G-11/2021-22/ICSSR/RP)This paper is largely an outcome of the research program sponsored by the ICSSR.However,the responsibility for the facts stated,opinions expressed,and conclusions drawn is entirely that of the authors.
文摘Objectives Robotic-assisted surgery(RAS)is a minimally invasive technique practiced in multiple specialties.Standard training is essential for the acquisition of RAS skills.The cost of RAS is considered to be high,which makes it a burden for institutes and unaffordable for patients.This systematic literature review(SLR)focused on the various RAS training methods applied in different surgical specialties,as well as the cost elements of RAS,and was to summarize the opportunities and challenges associated with scaling up RAS.Methods An SLR was carried out based on the Preferred Reporting Items for Systematic reviews and Meta-Analyses reporting guidelines.The PubMed,EBSCO,and Scopus databases were searched for reports from January 2018 through January 2024.Full-text reviews and research articles in the English language from Asia-Pacific countries were included.Articles that outlined training and costs associated with RAS were chosen.Results The most common training system is the da Vinci system.The simulation technique,which includes dry-lab,wet-lab,and virtual reality training,was found to be a common and important practice.The cost of RAS encompasses the installation and maintenance costs of the robotic system,the operation theatre rent,personnel cost,surgical instrument and material cost,and other miscellaneous charges.The synthesis of SLR revealed the challenges and opportunities regarding RAS training and cost.Conclusions The results of this SLR will help stakeholders such as decision-makers,influencers,and end users of RAS to understand the significance of training and cost in scaling up RAS from a managerial perspective.For any healthcare innovation to reach a vast population,cost-effectiveness and standard training are crucial.
文摘The purpose of this article is to describe recommendations towards the design and direction of development for Humanoid Nursing Robots (HNRs) from the standpoint of researchers of nursing care practice. Efforts to introduce robot technologies in nursing practice and to use them in elderly and high-tech healthcare environments have begun in developed countries like Japan. Companies are developing various types of robots, although their types and functionalities continue to require a clear identification and definition. Regardless, robot developments for health care purposes are progressing well to meet universal technological demands. While human caring has been a human-to-human relationship, in a nonhuman-to-human relationship in the case of HNRs, it is essential to consider ethical concerns and human safety. If HNRs are to support patients directly, they must be required to have the same level of comprehensive judgment ability and responsiveness as that of human nurses. This includes abilities to genuinely observe, judge, rapidly respond, and conduct human caring practice emphasizing individuality. If HNRs support patients independently, abilities which are much like those of humans will be required of them in addition to the appropriate intelligence and skillfulness to do so. A low level robot nurse exerts work that should be called non-nursing or as a medical aid assistant no matter who thinks and what these technologies can do. Similarly, a higher level HNR with higher level artificial intelligence is expected to exceed the capabilities of human beings. As such, current discourse and debate also include the concern that HNRs may now become one’s superior or rather that the HNR is a subordinate thereby requiring human management.
文摘The development of the Internet of Things has facilitated the rapid development of various industries.With the improvement in people’s living standards,people’s health requirements are steadily improving.However,owing to the scarcity of medical and health care resources in some areas,the demand for remote surgery has gradually increased.In this paper,we investigate remote surgery in the healthcare environment.Surgeons can operate robotic arms to perform remote surgery for patients,which substantially facilitates successful surgeries and saves lives.Recently,Kamil et al.proposed a secure protocol for surgery in the healthcare environment.However,after cryptanalyzing their protocol,we deduced that their protocols are vulnerable to temporary value disclosure and insider attacks.Therefore,we design an improved authentication and key agreement protocol for remote surgeries in the healthcare environment.Accordingly,we adopt the real or random(ROR)model and an automatic verification tool Proverif to verify the security of our protocol.Via security analysis and performance comparison,it is confirmed that our protocol is a relatively secure protocol.
文摘Background: Personal hygiene in non-self-sufficient patients is essential to prevent the proliferation and spread of bacteria from one patient to another, both through inanimate objects (fomites) and directly through healthcare workers. The first 1000 bed hygiene treatments performed by the collaborative robot “COPERNICO Surveillance & Prevention” in 229 non-self-sufficient patients were analyzed. Materials and Methods: A total of 229 patients were included: 215 patients came from emergency contexts or home, and 14 from long-term care facilities;the presence of sepsis, venous or urinary catheters, non-invasive ventilation, bedsores, clinical condition at discharge, and treatment sessions performed were recorded. All patients were hospitalized in the Geriatrics, Medicine and Pneumology departments. The system is able to collect and process data in real time. Results: Seventy-one patients with community-acquired sepsis and fourteen with healthcare-associated infections were treated;sixty-two had pressure ulcers. The analysis of the first 1000 treatments shows the healing of almost all sepsis cases, positive evolution of pressure ulcers, and hospital stays comparable to those of the entire group of 1008 hospitalized in the same period. There was no onset of side effects or complications. Conclusions: Although the healthcare setting is not among those at greatest risk of infections, the clinical efficacy, along with excellent evaluations from patients, family members, and healthcare personnel and the absence of side effects and complications, makes the system exceptionally manageable and user-friendly for non-self-sufficient patients.
文摘Two artificial agents(a humanoid robot and a virtual human) are enriched with various similar intelligence,autonomy, functionalities and interaction modalities. The agents are integrated in the form of a cyber-physical-social system(CPSS) through a shared communication platform to create a social ecology. In the ecology, the agents collaborate(assist each other) to perform a real-world task(search for a hidden object)for the benefits of humans. A robot-virtual human bilateral trust model is derived and a real-time trust measurement method is developed. The role of taking initiative in the collaboration is switched between the agents following a finite state machine model triggered by bilateral trust, which results in a mixedinitiative collaboration. A scheme is developed to evaluate the performance of the agents in the ecology through the CPSS.The results show that the robot and the virtual human perform satisfactorily in the collaboration through the CPSS. The results thus prove the effectiveness of the real-world ecology between artificial agents of heterogeneous realities through a shared platform based on trust-triggered mixed-initiatives. The results can help develop adaptive social ecology comprising intelligent agents of heterogeneous realities to assist humans in various tasks through collaboration between the agents in the form of a CPSS.
