Objective To investigate the effect of intravenous analgesia with a wireless or traditional analgesia pump system in thoracoscopic lung resection.MethodsPatients who used the patient-controlled intravenous analgesia after thoracoscopic lung resection between June 2016 and June 2021 were enrolled in the study. They were allocated into a wireless pump group (a ZigBee-based wireless analgesia pump system collecting data automatically) and a traditional analgesia pump group. Perioperative analgesia management followed the routine standard operation protocol of Shanghai Chest Hospital. The patients’ numeric rating scale (NRS) for pain and postoperative nausea and vomiting (PONV) scores were collected for analysis from the Anesthesia Information Record System. The incidence of postoperative analgesia insufficiency (defined as NRS≥4 points) within 48 h, the incidence of PONV within 24 h, and the 48 h completion rate of analgesia pump infusion were compared. ResultsA total of 59431 patients were collected, including 24855 males and 34576 females, 17209 patients in the wireless pump group, and 42222 patients in the traditional analgesia pump group. The incidence of analgesia insufficiency within 48 h after operation (3.75% vs. 4.98%, P=0.007), the incidence of PONV within 24 h after operation (13.60% vs. 16.70%, P=0.030) in the wireless pump group were lower than those in the traditional analgesia pump group. The 48 h completion rate of analgesia pump infusion in the wireless pump group was higher than that in the traditional analgesia pump group (83.40% vs. 71.90%, P<0.001). The wireless pump group could monitor the pressing times and use of the analgesia pump, while the traditional analgesia pump group could not record the relevant data. ConclusionCompared with the traditional analgesia pump, the wireless analgesia management system may be convenient for timely, accurate and individualized management, and has good analgesic effect and low incidence of adverse reactions, and may be more suitable for perioperative analgesia management.