Disciplines
Industrial Engineering | Systems Engineering
Abstract (300 words maximum)
As healthcare systems increasingly integrate digital solutions, understanding the perspectives of frontline healthcare workers on technology adoption is critical. This study explores how Registered Nurses (RNs), Licensed Practical Nurses (LPNs), and Certified Nursing Assistants (CNAs), collectively referred to as the Care Team, interact with existing and emerging healthcare technologies, including artificial intelligence (AI). Given the growing reliance on digital tools for clinical and administrative tasks, this research examines the challenges and benefits perceived by healthcare professionals when incorporating AI-driven solutions into their workflows.
A cross-sectional research design was employed, involving 30 semi-structured interviews with Care Team members from an Intensive Medical Care Unit (IMCU), of which 24 interviews were analyzed. The study assessed their experiences with technologies such as electronic patient records and appointment systems while gauging their comfort levels and concerns regarding AI-driven tools. Additionally, the study explored how AI could assist in both clinical support (e.g., reducing documentation burdens) and patient care (e.g., providing emotional and educational support).
Findings suggest that while technological tools have streamlined certain tasks, challenges remain in terms of usability, training, and workflow integration. Many participants expressed interest in AI applications that can actively listen to patients, provide empathetic responses, and reduce workload stress, yet concerns regarding AI reliability and implementation remain.
The study highlights the need for collaborative development between healthcare professionals and developers to ensure AI tools effectively enhance patient care without disrupting workflows. By addressing Care Team concerns, future healthcare AI solutions can increase efficiency, improve patient satisfaction, and reduce burnout. This research underscores the importance of aligning technological advancements with user needs to foster a more effective and supportive healthcare environment.
Academic department under which the project should be listed
SPCEET - Industrial and Systems Engineering
Primary Investigator (PI) Name
Dr. Awatef Ergai
Bridging the Gap: Care Team’s Perspectives on Technology and AI Integration in Healthcare
As healthcare systems increasingly integrate digital solutions, understanding the perspectives of frontline healthcare workers on technology adoption is critical. This study explores how Registered Nurses (RNs), Licensed Practical Nurses (LPNs), and Certified Nursing Assistants (CNAs), collectively referred to as the Care Team, interact with existing and emerging healthcare technologies, including artificial intelligence (AI). Given the growing reliance on digital tools for clinical and administrative tasks, this research examines the challenges and benefits perceived by healthcare professionals when incorporating AI-driven solutions into their workflows.
A cross-sectional research design was employed, involving 30 semi-structured interviews with Care Team members from an Intensive Medical Care Unit (IMCU), of which 24 interviews were analyzed. The study assessed their experiences with technologies such as electronic patient records and appointment systems while gauging their comfort levels and concerns regarding AI-driven tools. Additionally, the study explored how AI could assist in both clinical support (e.g., reducing documentation burdens) and patient care (e.g., providing emotional and educational support).
Findings suggest that while technological tools have streamlined certain tasks, challenges remain in terms of usability, training, and workflow integration. Many participants expressed interest in AI applications that can actively listen to patients, provide empathetic responses, and reduce workload stress, yet concerns regarding AI reliability and implementation remain.
The study highlights the need for collaborative development between healthcare professionals and developers to ensure AI tools effectively enhance patient care without disrupting workflows. By addressing Care Team concerns, future healthcare AI solutions can increase efficiency, improve patient satisfaction, and reduce burnout. This research underscores the importance of aligning technological advancements with user needs to foster a more effective and supportive healthcare environment.