Date of Award
Fall 2024
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Engineering Management & Systems Engineering
Program/Concentration
Engineering Management and Systems Engineering
Committee Director
T. Steven Cotter
Committee Member
Holly Handley
Committee Member
Krishnanand Kaipa
Abstract
Healthcare workers, either clinical or non-clinical, are obligated to serve patients. However, lack of a sufficient number of professionals leads to burnout, severe stress, and, consequently, decreased quality of services. In this context, very few countries have been successful in employing service robots to perform dull, dirty, and/or dangerous tasks related to patient wellbeing/healthcare, while most countries are still skeptical about it. As robotics advances, there is an opportunity for healthcare to take advantage of this technology to reduce personnel workload and to reduce the possibility of exposure to contagious pathogens. However, healthcare is a vulnerable environment and requires critical preparedness assessment before introducing new technology or a new process. A readiness assessment can improve the chances of successful implementation by identifying the stakeholders and the factors that should be targeted. This research proposes a theoretical Integrated framework, Healthcare Socio-Technical Assessment of Service Robots (H.STAR) that encompasses the adaption of Technology Readiness Levels (TRLs), Human Readiness Levels (HRLs), and healthcare organizational readiness to support the transition of Human-Robot Interaction in healthcare.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
DOI
10.25777/vdba-ah26
ISBN
9798302862907
Recommended Citation
Alla, Sujatha.
"An Integrated Theoretical Socio-Technical Framework for Implementing Service Robots’ Integration in Healthcare"
(2024). Doctor of Philosophy (PhD), Dissertation, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/vdba-ah26
https://digitalcommons.odu.edu/emse_etds/241
Codified_Themes_Pareto_062024
FCA - Keywords.docx (41 kB)
Lit review.xlsx (687 kB)
Lit review1.xlsx (699 kB)
PropositionsOrdinalStatistics-minitab (1).xlsx (10 kB)
ORCID
0000-0003-2824-4528
Included in
Artificial Intelligence and Robotics Commons, Health and Medical Administration Commons, Operational Research Commons
