Patients' Perspectives on Technology and Digital Solutions in Hospital Care
Disciplines
Industrial Engineering
Abstract (300 words maximum)
The integration of generative AI in healthcare necessitates a comprehensive understanding of patient perspectives to ensure that these innovative technologies align with their needs and preferences. Actively gathering patient input not only enhances the effectiveness of AI implementations but also fosters trust and transparency in the healthcare system, ultimately leading to improved patient outcomes. This study examines the role of technology in enhancing the hospital experience for IMCU and oncology patients, focusing on their engagement with digital tools and perspectives on AI-driven solutions. A qualitative study was conducted with (30) hospitalized patients from the IMC and Oncology units, who participated in semi-structured interviews about their technology use and perspectives on AI-driven solutions. Data was analyzed using thematic analysis to identify key patterns. Initial findings suggest that patients demonstrated varying levels of technological comfort, with some actively using smartphones for communication, medical research, and entertainment, while others preferred minimal digital interaction. Although a few patients were familiar with AI tools such as ChatGPT and voice assistants, direct input on the use of generative AI in their care was limited. Key technological needs identified include improved access to personal medical records through QR codes, integration of personal streaming services with hospital entertainment systems, and AI-driven solutions for relaxation and emotional support. While some patients recognized AI’s potential benefits in retrieving medical information and assisting with daily tasks, concerns about accuracy, misuse, and overreliance persisted. Findings suggest that hospitals could enhance patient experience by implementing personalized digital solutions that align with individual preferences and comfort levels. However, the limited patient input on generative AI in clinical care indicates a need for further exploration and education on its potential role. Future research should investigate patient perceptions, usability, and trust in AI-driven healthcare tools while addressing concerns about transparency, accessibility, and ethical implications.
Academic department under which the project should be listed
SPCEET - Industrial and Systems Engineering
Primary Investigator (PI) Name
Awatef Ergai
Patients' Perspectives on Technology and Digital Solutions in Hospital Care
The integration of generative AI in healthcare necessitates a comprehensive understanding of patient perspectives to ensure that these innovative technologies align with their needs and preferences. Actively gathering patient input not only enhances the effectiveness of AI implementations but also fosters trust and transparency in the healthcare system, ultimately leading to improved patient outcomes. This study examines the role of technology in enhancing the hospital experience for IMCU and oncology patients, focusing on their engagement with digital tools and perspectives on AI-driven solutions. A qualitative study was conducted with (30) hospitalized patients from the IMC and Oncology units, who participated in semi-structured interviews about their technology use and perspectives on AI-driven solutions. Data was analyzed using thematic analysis to identify key patterns. Initial findings suggest that patients demonstrated varying levels of technological comfort, with some actively using smartphones for communication, medical research, and entertainment, while others preferred minimal digital interaction. Although a few patients were familiar with AI tools such as ChatGPT and voice assistants, direct input on the use of generative AI in their care was limited. Key technological needs identified include improved access to personal medical records through QR codes, integration of personal streaming services with hospital entertainment systems, and AI-driven solutions for relaxation and emotional support. While some patients recognized AI’s potential benefits in retrieving medical information and assisting with daily tasks, concerns about accuracy, misuse, and overreliance persisted. Findings suggest that hospitals could enhance patient experience by implementing personalized digital solutions that align with individual preferences and comfort levels. However, the limited patient input on generative AI in clinical care indicates a need for further exploration and education on its potential role. Future research should investigate patient perceptions, usability, and trust in AI-driven healthcare tools while addressing concerns about transparency, accessibility, and ethical implications.