Currently submitted to: Journal of Medical Internet Research
Date Submitted: Aug 15, 2026
Open Peer Review Period: Aug 16, 2026 - Oct 11, 2026
(currently open for review)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Application of AI Intelligent Agent Health Education System in Perioperative Health Education for Patients with Gallbladder Stones: A Study Led by Nurses
ABSTRACT
Background:
Perioperative health education is important for postoperative recovery among patients with gallstones. However, traditional health education faces challenges related to insufficient continuity and personalization during perioperative information delivery.
Objective:
This study aimed to apply an AI agent–based health education system in perioperative health education for patients with gallstones and evaluate its effects on improving postoperative recovery outcomes.
Methods:
This study conducted a quasi-experimental research on patients undergoing laparoscopic cholecystectomy in the hepatobiliary surgery department of a tertiary grade A hospital in China. Patients were grouped according to their admission sequence. Patients in the control group received conventional perioperative health education, while those in the intervention group received health education through an AI-based intelligent system. The primary outcome measure was the quality of recovery 24 hours after surgery, which was evaluated using the QoR-15 scale 24 hours after surgery; the secondary outcome measures included the time of first getting out of bed, the time of first passing gas, the incidence of postoperative diarrhea, the length of hospital stay, and the evaluation of system usability.
Results:
The health education system based on AI agents for patients with gallbladder stones during the perioperative period can improve the postoperative recovery quality of patients within 24 hours (P < 0.05), and the time for the first standing up and the first defecation of patients are both shortened (P < 0.05); however, there were no differences between the groups in terms of the incidence of postoperative diarrhea and the length of hospital stay (P > 0.05).
Conclusions:
The AI agent health education system provides patients with a health education tool that is readily accessible, provides continuous responses, and offers detailed guidance. It can serve as an auxiliary tool for nursing teams to provide health education and may facilitate patients’ postoperative recovery, providing a direction for the application of artificial intelligence technology in perioperative health education.
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