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A Pilot Survey of Patient Perspectives on an Artificial Intelligence-Generated Presenter in a Patient Information Video about Face-Down Positioning after Vitreoretinal Surgery

Year: 2024

Type: article

Abstract: INTRODUCTION: Video education is a commonly used patient education tool. However, the impact of integrating artificial intelligence (AI) into video education remains unexplored. This study aimed to examine the acceptability of an AI-generated presenter in a patient information video about face-down positioning after vitreoretinal surgery. METHOD: We prospectively enrolled participants who were planned for vitreoretinal surgery in which postoperative face-down positioning was recommended at the Royal Adelaide Hospital between December 2022 and September 2023. Participants were preoperatively provided with an educational video presented by an AI-generated presenter, incorporated into a surveyredcap. A pre- and post-video questionnaire was administered electronically. RESULTS: There were 15 participants included in the study. In the pre-video questionnaire, most participants rated their awareness of special equipment for positioning as "not aware" (33%) and "slightly aware" (33%). The median pre-video six-item Spielberger State-Trait Anxiety Inventory Score was 12 (interquartile range 12-15). In the post-video questionnaire, most participants rated the video's quality as "excellent" (73%) and would recommend it to others (73%). The majority of participants strongly agreed that they understood the AI presenter (60%), felt at ease with the presenter (60%), and trusted the presenter (60%). Four participants (22%) disagreed with the statement: "I was aware the presenter was computer generated." CONCLUSIONS: Video-based education may provide information that patients find useful, particularly for physical maneuvers such as face-down positioning. The use of an AI-generated presenter was well-received by the majority of patients. Further research regarding the use of AI to develop educational video content is warranted.

Source: Ophthalmic Research

DOI: 10.1159/000541530

Authors: Carmelo Zak Macri, Stephen Bacchi, Wilson Wong, Duleepa Baranage, Premala Devi Sivagurunathan, Weng Onn Chan

Institutions: Royal Adelaide Hospital, The University of Adelaide, Flinders University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Quality education

Open Access status: diamond

OpenAlex ID: W4402732921