Perioperative digital surveillance with a multiparameter vital signs monitoring system in a gastric cancer patient with diabetes.
10.3760/cma.j.cn441530-20250102-00003
- Author:
Reziya AIERKEN
1
;
Z W JIANG
1
;
G W GONG
1
;
P LI
2
;
X Y LIU
1
;
F JI
3
Author Information
1. the First Clinical Medical College,Nanjing University of Chinese Medicine, Nanjing 210023, China Department of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
2. Department of Nursing, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
3. Jiangsu Suning Yiyi Technology Co., Ltd, Nanjing 210000, China.
- Publication Type:English Abstract
- MeSH:
Humans;
Stomach Neoplasms/physiopathology*;
Vital Signs;
Monitoring, Physiologic/instrumentation*;
Diabetes Mellitus;
Wearable Electronic Devices;
Perioperative Period
- From:
Chinese Journal of Gastrointestinal Surgery
2025;28(11):1318-1322
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To evaluate the application value of a digital technology-based multiparameter vital signs monitoring system in perioperative comprehensive full-cycle surveillance. Methods: A comprehensive multidimensional vital signs monitoring system was developed through the integration of medical-grade wireless wearable devices, incorporating patch-type ambulatory electrocardiographic monitor, continuous glucose monitoring sensor, pulse oximeter, wireless digital thermometer, smart wristband, and bioelectrical impedance analyzer. This system facilitates continuous real-time acquisition of multiple physiological parameters including electrocardiogram, blood glucose, oxygen saturation, body temperature, physical activity, and body composition indices. The acquired data were systematically integrated and analyzed through a four-level digital architecture consisting of nurse mobile interfaces, bedside patient terminals, centralized ward monitoring displays, and hospital management information systems. One patient with gastric cancer complicated by diabetes mellitus was selected for full-cycle digital monitoring from preoperative evaluation to hospital discharge. The technical performance of the monitoring system was assessed in terms of data acquisition continuity and timeliness of abnormal event alerts. Results: The monitoring system effectively identified early postoperative abnormalities, such as decreased oxygen saturation and blood glucose fluctuations, providing timely guidance for clinical intervention. The built-in algorithm enabled visualization of perioperative stress levels through heart rate variability indices and continuous glucose monitoring data. The patient demonstrated good compliance with early postoperative mobilization, and the satisfaction score for monitoring management was 4 points based on the Likert 5-point scale. Conclusions: The multiparameter vital signs monitoring system enhanced the precision of perioperative management through continuous and dynamic physiological status assessment. Its modular design aligns with the principles of enhanced recovery after surgery, offering a novel technological solution for intelligent perioperative management.
