Assessment of User Needs for Telemedicine Robots in a Developing Nation Hospital Setting

Jang, Seon Mi; Hong, Yeong-Joo; Lee, Kyounga; Kim, Sukwha; Chiến, Bùi Văn; Kim, Jeongeun

doi:10.1089/tmj.2020.0215

Cited by 16 publications

(27 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…31 32 Evidence also suggests that telemedicine is highly dependent on users' needs. 33 However, among the Review providers acceptability is subjected to caveats of multiple specialities involved and communication between specialities, 34 requirement of good quality video and audio experience, availability of digital healthcare records and a human-centred design. 35 While there has been widespread use of telemedicine during the pandemic, mechanisms to evaluate its impact and measure outcomes and acceptability among end users have not been addressed comprehensively.…”

Section: Beyond the Pandemic-towards A Sustainable Telehealth Ecosystemmentioning

confidence: 99%

Telemedicine supported strengthening of primary care in WHO South East Asia region: lessons from the COVID-19 pandemic experiences

et al. 2021

View full text Add to dashboard Cite

The COVID-19 pandemic has exposed the fragmentation of the healthcare delivery systems and highlighted the role of resilient primary healthcare systems for a robust public health response during health emergencies. Primary care while being the first point of contact between the citizens and the health systems has received scant attention or targeted investments over the past several decades. Through this narrative review, we aim to outline the potential role of telehealth in augmenting health systems capacity. While teleconsultations have increased exponentially during the pandemic, evidence suggests that utilisation of primary care for non-emergency and non-COVID-19 conditions such as chronic medical conditions has significantly decreased, suggesting that most telemedicine utilisation has been to address an immediate crisis. In countries with pre-existing national digital health framework and enabling regulatory environments, telehealth interventions while strengthening the public health response to COVID-19 also supported the continuum of care at the primary care level. Even after COVID-19 is controlled, telemedicine has the potential to address persistent obstacles to primary care in the South East Asia region, including scarcity of trained healthcare workers, access challenges and costs associated with in-person care. Telemedicine holds promise in strengthening primary care and has the potential to catalyse achieving universal health coverage.

show abstract

Section: Beyond the Pandemic-towards A Sustainable Telehealth Ecosystemmentioning

confidence: 99%

Telemedicine supported strengthening of primary care in WHO South East Asia region: lessons from the COVID-19 pandemic experiences

et al. 2021

View full text Add to dashboard Cite

show abstract

“… Reference Country Participants Scope/ Domain/ Elements Type of Article Main Findings 1. Jang et al, 2020 15 Vietnam Doctors and nurses Medical function, operational function, movement function Original article Medical functions: Heart rate monitoring, Oximeter, Blood pressure measurement, Blood glucometer, Recognition of nonverbal signals, Temperature measurement, Electronic stethoscope, Penlight, Stress evaluation, Ruler Operational functions: Examination record delivery, Medical information delivery, Video and image play, Voice recognition with contextual perception, Touchscreen, Videotaping or sound recording, Voice command, Bidirectional videoconferencing system, Video screen capture, Image file sharing, Statistical value display, Screen sharing, Onscreen messages to notify users of significant conditions, Laser pointer (for indicating), Messaging, Video transmission and reception of simultaneous confirmation Movement functions: Obstacle avoidance, Wireless system, Automatic navigation, Docking station, Automatic camera movement, Robotic arms and legs movement, Turnover, Height adjustment 2. Wang et al, 2021 16 All countries Healthcare Professional Examination robot; Robot-based sample test and medicine production; Healthcare, telepresence and monitoring robot; Surgery and rehabilitation robots; Disinfection and cleaning robots; Delivery and logistics robot Literature survey Swapping robot, Ultrasound and examination robot, Remote examination robot, Testing device, Preparation device, Automated medicine production, Servicing robot, Telepresence robot, Surveillance robot, Monitoring robot, Surgical robot, Remote rehabilitation robot, Disinfection robot, Cleaning robot, Delivery robot, Goods preparing robot 3.…”

Section: Resultsmentioning

confidence: 99%

“…This review divided robotic functions into medical, operational, movement, and social functions. 15 Medical functions are robot capabilities in medical needs, such as cardiovascular monitoring, temperature measurement, and stress evaluation. Operational functions are robot capabilities in system operations, including delivery function, video and image play, voice recognition, and laser point.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Healthcare Workers’ Point of View on Medical Robotics During COVID-19 Pandemic – A Scoping Review

Defi

Iskandar

Charismawati

et al. 2022

IJGM

View full text Add to dashboard Cite

COVID-19 affected how healthcare workers interact with patients. Medical technology and robotics are developed in hospital settings to limit human contact. The aim of this review is to elucidate what kind of medical robotics is required for healthcare workers during COVID-19 pandemic. This review was obtained from electronic databases such as Google Scholar, PubMed, EBSCO, and Cochrane reviews were searched for articles using keywords such as “healthcare professional” OR “health worker” AND “COVID-19” AND “robot application” OR “robotics” OR “health technology” AND “needs assessment” OR “expectation” OR “perception” published during 2020 to 2021. Inclusion criteria were full-text articles related to assessment of healthcare workers’ need for medical robotics during COVID-19 pandemics. Exclusion criteria included abstracts, duplicate articles, blogs, news articles, promotional brochures, and conference proceedings. A total of 13,692 articles were identified through the search engines (PubMed 179, Cochrane Library 1300, EBSCO 13, Google Scholar 12,200). Five full-text articles fulfilled the inclusion criteria. Determining robotic functions is important to healthcare workers who will be user of such medical technology. This review divided robotic functions into medical, operational, movement, and social functions. Healthcare workers’ demands for robotics were also influenced by the types of robots, such as examination robots, robot-based sample test and medicine production, surgery and rehabilitation robots, disinfection and cleaning robots, delivery and logistic robot, telemedicine, and telepresence robots. Medical robotics is required for healthcare workers during the COVID-19 pandemic. The highest demands for medical robotics functions include cardiac measurements and oxygen saturation monitoring (medical functions); examination record delivery, video and image play, and medical information delivery (operational functions); and the ability to recognize and avoid obstacles (movement functions). Disinfection and cleaning robots were the type of robots with the highest demand among healthcare workers.

show abstract

“…Several telehealth technologies and IoMT platforms are facing challenges due to rapid overload on servers. An e-commerce technology for healthcare problems named JD Health has reported a significant increment in requests for the online meeting due to the rapid spread of COVID-19 [205]. Table 7 shows telehealth mechanisms are being implemented in many countries to control the influence of COVID-19.…”

Section: Telehealth In a Pandemicmentioning

confidence: 99%

Comprehensive Survey of IoT, Machine Learning, and Blockchain for Health Care Applications: A Topical Assessment for Pandemic Preparedness, Challenges, and Solutions

Imran

Zaman²,

Imran

et al. 2021

Electronics

View full text Add to dashboard Cite

Internet of Things (IoT) communication technologies have brought immense revolutions in various domains, especially in health monitoring systems. Machine learning techniques coupled with advanced artificial intelligence techniques detect patterns associated with diseases and health conditions. Presently, the scientific community is focused on enhancing IoT-enabled applications by integrating blockchain technology with machine learning models to benefit medical report management, drug traceability, tracking infectious diseases, etc. To date, contemporary state-of-the-art techniques have presented various efforts on the adaptability of blockchain and machine learning in IoT applications; however, there exist various essential aspects that must also be incorporated to achieve more robust performance. This study presents a comprehensive survey of emerging IoT technologies, machine learning, and blockchain for healthcare applications. The reviewed articles comprise a plethora of research articles published in the web of science. The analysis is focused on research articles related to keywords such as `machine learning’, blockchain, `Internet of Things or IoT’, and keywords conjoined with `healthcare’ and `health application’ in six famous publisher databases, namely IEEEXplore, Nature, ScienceDirect, MDPI, SpringerLink, and Google Scholar. We selected and reviewed 263 articles in total. The topical survey of the contemporary IoT-based models is presented in healthcare domains in three steps. Firstly, a detailed analysis of healthcare applications of IoT, blockchain, and machine learning demonstrates the importance of the discussed fields. Secondly, the adaptation mechanism of machine learning and blockchain in IoT for healthcare applications are discussed to delineate the scope of the mentioned techniques in IoT domains. Finally, the challenges and issues of healthcare applications based on machine learning, blockchain, and IoT are discussed. The presented future directions in this domain can significantly help the scholarly community determine research gaps to address.

show abstract

Assessment of User Needs for Telemedicine Robots in a Developing Nation Hospital Setting

Cited by 16 publications

References 11 publications

Telemedicine supported strengthening of primary care in WHO South East Asia region: lessons from the COVID-19 pandemic experiences

Telemedicine supported strengthening of primary care in WHO South East Asia region: lessons from the COVID-19 pandemic experiences

Healthcare Workers’ Point of View on Medical Robotics During COVID-19 Pandemic – A Scoping Review

Comprehensive Survey of IoT, Machine Learning, and Blockchain for Health Care Applications: A Topical Assessment for Pandemic Preparedness, Challenges, and Solutions

Contact Info

Product

Resources

About