Internet of Things and Robotics in Transforming Current-Day Healthcare Services

Pradhan, Bikash K.; Bharti, Deepti; Chakravarty, Sumit; Ray, Sirsendu Sekhar; Voinova, V. V.; Бонарцев, А. П.; Pal, Kunal

doi:10.1155/2021/9999504

Cited by 27 publications

(6 citation statements)

References 113 publications

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“…Similar studies have concentrated the objective of their analysis on the perception of technologies or robots in samples of health professionals and patients, both potential end users of these devices [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 37 , 38 , 39 , 40 ].…”

Section: Discussionmentioning

confidence: 99%

Care Robotics: An Assessment of Professional Perception in the Face of the COVID-19 Pandemic

et al. 2023

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The COVID-19 crisis accelerated the adoption of technologies. Technological advancement is also expected in robotics applied to any sector, including in healthcare. The aim is to assess the professional perception of care robotics facing COVID-19. This study aimed to (1) select a tool for assessing different aspects of healthcare, (2) analyse the professional perception about the development, usefulness and helpfulness of technologies and robotics in the field of healthcare and (3) evaluate the correlation between the perceived helpfulness of care robotics and the selected tool. We implement five validated clinical tests which integrate 80 items about a person and their clinical situation. From the sample of 46 professionals, 95.65% affirmed that technology was moderately to completely useful for professional performance in the context of the pandemic, lowering to 67.39% when asked only about robotics; 93.48% stated that the inclusion of robotics in at least one health area affected by COVID-19 would have helped them. Finally, the variables extracted from clinical tests corresponded to the most relevant health areas as identified by the professionals. This research shows the potential of care robotics oriented towards healthcare from a care paradigm.

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Section: Discussionmentioning

confidence: 99%

Care Robotics: An Assessment of Professional Perception in the Face of the COVID-19 Pandemic

et al. 2023

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“…These technologies aim to relieve workers from hard and time-consuming activities while also improving routine tasks. Robotics and AI play a significant role in helping human workers to perform better in urgent situations by replacing them in tasks where the human presence is not required [8]. The introduction of cutting-edge technologies, their integration into the healthcare environment, and their interaction with patients and the local community all benefit clinical workflows, medical locations, and logistics [9].…”

Section: Introductionmentioning

confidence: 99%

Semantic Ontologies for Complex Healthcare Structures: A Scoping Review

et al. 2023

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The healthcare environment is made up of highly complicated interactions between many technologies, activities, and people. Ensuring a solid communication between them is vital to ease the healthcare management. Semantic ontologies are knowledge representation tools that implement abstractions to fully describe a given topic in terms of subjects and relations. This scoping review aims to identify and analyse available ontologies which can depict all the available use-cases that describe the hospital environment in relation to the European project ODIN and its future expansion. The review has been conducted on the Scopus database on January 13th, 2023 using the PRISMA extensions for scoping reviews. Two reviewers screened 3,225 documents emerged from the database search. Further filtering led to a final set of 32 articles to be analysed for the results. A set of 34 ontologies extracted by the identified articles has been analysed and discussed as well. The results of this study will lead to the implementation of a common integrated ontology which could hold information about healthcare entities as well as their semantic relationships, strengthen data exchange and interconnections among people, devices and applications in an expanded scenario which include Internet of Things, robots and Artificial Intelligence.

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“…While there are many advancements in clinical robotic-autonomy [ 2 , 3 , 4 , 5 ], the broad application of autonomy as part of the business of healthcare has followed the traditional pace of the industry’s technological adoption [ 6 ]. In a recent life science executives survey, 69% of life science businesses are already piloting or have adopted AI in their solutions and 22% are evaluating or planning to pilot AI solutions [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Providing Care: Intrinsic Human–Machine Teams and Data

Russell

Kumar

2022

Entropy

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Despite the many successes of artificial intelligence in healthcare applications where human–machine teaming is an intrinsic characteristic of the environment, there is little work that proposes methods for adapting quantitative health data-features with human expertise insights. A method for incorporating qualitative expert perspectives in machine learning training data is proposed. The method implements an entropy-based consensus construct that minimizes the challenges of qualitative-scale data such that they can be combined with quantitative measures in a critical clinical event (CCE) vector. Specifically, the CCE vector minimizes the effects where (a) the sample size is too small, (b) the data may not be normally distributed, or (c) The data are from Likert scales, which are ordinal, so parametric statistics cannot be used. The incorporation of human perspectives in machine learning training data provides encoding of human considerations in the subsequent machine learning model. This encoding provides a basis for increasing explainability, understandability, and ultimately trust in AI-based clinical decision support system (CDSS), thereby improving human–machine teaming concerns. A discussion of applying the CCE vector in a CDSS regime and implications for machine learning are also presented.

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Internet of Things and Robotics in Transforming Current-Day Healthcare Services

Cited by 27 publications

References 113 publications

Care Robotics: An Assessment of Professional Perception in the Face of the COVID-19 Pandemic

Care Robotics: An Assessment of Professional Perception in the Face of the COVID-19 Pandemic

Semantic Ontologies for Complex Healthcare Structures: A Scoping Review

Providing Care: Intrinsic Human–Machine Teams and Data

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