Currently submitted to: Journal of Medical Internet Research
Date Submitted: Jan 27, 2026
Open Peer Review Period: Jan 28, 2026 - Mar 25, 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Warning: This is an author submission that is not peer-reviewed or edited.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.
An AI-Based Smart Nursing Ward Model for Enhanced Recovery After Thoracic Surgery: A Historical Controlled Trial
ABSTRACT
Background:
Due to surgical trauma and the impact of the disease, patients undergoing thoracic surgery often experience a series of postoperative symptom burdens, which affect their recovery. Traditional perioperative care has drawbacks.
Objective:
To evaluate the impact of an AI-based personalized smart nursing ward management model on postoperative recovery outcomes in patients undergoing thoracic surgery.
Methods:
According to patients' admission sequence, patients who met the inclusion criteria were divided into a control group (n=303) and an intervention group (n=240). The control group adopted the routine nursing mode of general wards, while the intervention group implemented the AI-based personalized smart nursing ward management model on the basis of the routine nursing provided to the control group.
Results:
Data from all 543 enrolled patients were analyzed. Compared with the control group (n=303) receiving routine care, the intervention group (n=240) had a significantly shorter median hospital stay (9.0 days vs 12.0 days) and chest tube indwelling time (5.0 days vs 7.0 days), as well as lower total hospitalization costs (¥61,032.87 vs ¥72,859.90) (all P < .001). The postoperative pulmonary complication rate was also significantly lower in the intervention group (3.8% vs 12.2%, P < .001). Furthermore, patient satisfaction was higher (98.53% vs 91.28%), and nurses' daily step count was reduced (12,359.52 vs 18,692.74 steps) in the intervention group (both P < .001)
Conclusions:
The AI-based smart nursing model effectively promotes postoperative recovery and offers an innovative management approach for thoracic surgery.
Citation
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