Effects of Artificial Intelligence on Surgical Patients’ Health Education

• Published in: Healthcare (Basel) Vol. 11; no. 20; p. 2705
• Main Authors: Huang, Hsin-Shu, Fang, Hsin-Yuan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2023; MDPI
• Subjects: Artificial intelligence; Bladder; Care and treatment; Catheters; E-books; Education; Health aspects; Health education; Hospital patients; Intervention; Intubation; Medical research; Pain; Patient education; Patients; Quality of life; Random number sampling; Skills; Surgery; Surgical nursing; Technology application; Urology; Usability; Validity; Taiwan
• ISSN: 2227-9032; 2227-9032
• DOI: 10.3390/healthcare11202705

Today, the various abilities that nurses require to meet patients’ healthcare needs adequately are all affected by AI-enabled systems. This research used an experimental study design in which 60 subjects were randomly assigned to either an experimental (AI image e-book guidance) group or a control (text paper guidance) group after meeting the admission conditions and agreeing to participate in the study. It was proven that providing AI image e-book guidance before surgery significantly changed the behavior of patients and promoted relief of urinary catheter discomfort through self-efficacy to reduce urinary catheter pain after surgery (p < 0.001). It was found that providing AI image e-book guidance can shorten the time for health education and provide patients with repeated medical education and familiarity with health guidance, which can help to address the important clinical service demand issue and the shortage of nursing staff.