The use of smart environments and robots for infection prevention control: A systematic literature review

Piaggio, Davide; Zarro, Marianna; Pagliara, Silvio Marcello; Andellini, Martina; Almuhini, Abdulaziz; Maccaro, Alessia; Pecchia, Leandro

doi:10.1016/j.ajic.2023.03.005

Cited by 8 publications

(3 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This work reviews technology types, performance measures and resources required (including personnel, time, infrastructure, existing servers/computer systems, etc.). It is also noteworthy to mention that this review is in line with another recent review on the use of robots and smart environments for IPC by Piaggio et al [ 16 ]. The information collected is of ongoing use in the aftermath of COVID-19 and aims to help identify priority actions for better preparation for the next global health emergency.…”

Section: Introductionsupporting

confidence: 84%

“…They can support the training and education of healthcare staff, thereby improving their skills and awareness regarding HAI prevention practices. Additionally, the data can provide insights for evaluating the effectiveness of preventive measures implemented in healthcare facilities, such as proper use of personal protective equipment (PPE) or compliance with hand hygiene procedures [ 16 , 39 , 40 ].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The Use of Contact Tracing Technologies for Infection Prevention and Control Purposes in Nosocomial Settings: A Systematic Literature Review

Stokes,

Piaggio,

De Micco

et al. 2024

Infectious Disease Reports

Self Cite

View full text Add to dashboard Cite

Background: Pandemic management and preparedness are more needed than ever before and there is widespread governmental interest in learning from the COVID-19 pandemic in order to ensure the availability of evidence-based Infection Prevention and Control measures. Contact tracing is integral to Infection Prevention and Control, facilitating breaks in the chain of transmission in a targeted way, identifying individuals who have come into contact with an infected person, and providing them with instruction/advice relating to testing, medical advice and/or self-isolation. Aim: This study aims to improve our understanding of the use of contact tracing technologies in healthcare settings. This research seeks to contribute to the field of Infection Prevention and Control by investigating how these technologies can mitigate the spread of nosocomial infections. Ultimately, this study aims to improve the quality and safety of healthcare delivery. Methods: A systematic literature review was conducted, and journal articles investigating the use of contact tracing technologies in healthcare settings were retrieved from databases held on the OvidSP platform between March and September 2022, with no date for a lower limit. Results: In total, 277 studies were retrieved and screened, and 14 studies were finally included in the systematic literature review. Most studies investigated proximity sensing technologies, reporting promising results. However, studies were limited by small sample sizes and confounding factors, revealing contact tracing technologies remain at a nascent stage. Investment in research and development of new testing technologies is necessary to strengthen national and international contact tracing capabilities. Conclusion: This review aims to contribute to those who intend to create robust surveillance systems and implement infectious disease reporting protocols.

show abstract

Section: Introductionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

The Use of Contact Tracing Technologies for Infection Prevention and Control Purposes in Nosocomial Settings: A Systematic Literature Review

Stokes,

Piaggio,

De Micco

et al. 2024

Infectious Disease Reports

Self Cite

View full text Add to dashboard Cite

show abstract

“…Looking ahead, robotics will continue to play an important role in digital transformation, particularly in healthcare, and itʹs also clear that the integration of robots in healthcare will become more profound [21]. Robots will need to collaborate by working together on several tasks ranging from surgical procedures to disinfection and patient care [22][23][24]. Robots are becoming increasingly sophisticated and adaptable, providing innovative solutions to meet new challenges in healthcare [21,25].…”

Section: Revolutionising Hospital Logisticsmentioning

confidence: 99%

Robotics Application in the Hospital Domain: Operator-Patient- Robot Interface

Cruz,

Oliveira,

Correia

2024

Preprint

View full text Add to dashboard Cite

Robotic systems are increasingly being used in healthcare to improve patient care and support healthcare professionals. These robots are especially effective at performing repetitive tasks. In complex cancer cases, robots can enhance surgical precision and efficiency, resulting in reduced pain for patients and a lower risk of complications. Robot-assisted surgery offers high-quality 3D imaging, improved clarity, and increased efficiency. This review paper examines the application of Artificial Intelligence (AI) and robotic systems in the healthcare domain, specifically focusing on the interaction among operators, patients, and robots. The goal is to promote collaboration and improve healthcare provision through human-robot interaction. We considered already published articles by relevance, to identify the primary safety issues that need addressing for the integration of AI and robots in hospitals. Concluding with insights into understanding the focal points of social errors in Human-Robot Interaction (HRI) is crucial for mitigating these errors. While current technologies have reached a certain level of maturity, there are still numerous challenges in utilizing robot-assisted clinical practice, including technological, safety, clinical, financial, insurance, psychological, social, ethical, and legal issues. In addition, there is an urgent issue that needs to be addressed: the alignment of values in artificial intelligence, ensuring that AI systems reflect ethical principles and human values is crucial to avoid negative consequences such as bias, discrimination, and prejudicial decisions. Resolving this complex issue requires collaboration among clinical staff, researchers, programmers, and political decision-makers from various fields.

show abstract

Integration of an electronic hand hygiene auditing system with electronic health records using machine learning to predict hospital-acquired infection in a health care setting

Cotia,

Scorsato,

da Silva Victor

et al. 2024

American Journal of Infection Control

View full text Add to dashboard Cite

The use of smart environments and robots for infection prevention control: A systematic literature review

Cited by 8 publications

References 33 publications

The Use of Contact Tracing Technologies for Infection Prevention and Control Purposes in Nosocomial Settings: A Systematic Literature Review

The Use of Contact Tracing Technologies for Infection Prevention and Control Purposes in Nosocomial Settings: A Systematic Literature Review

Robotics Application in the Hospital Domain: Operator-Patient- Robot Interface

Integration of an electronic hand hygiene auditing system with electronic health records using machine learning to predict hospital-acquired infection in a health care setting

Contact Info

Product

Resources

About