JMIR Publications

ABSTRACT

Background:

A ventilator central monitoring system that can efficiently respond to and treat patients' respiratory monitoring in intensive care units (ICU) is critical. Using Internet of Things (IoT) technology without loss or delay in patient monitoring data, you can overcome clinical staff's spatial constraints on patient respiratory management by integrated monitoring multiple ventilators and providing real-time information through remote mobile applications.

Objective:

This study aimed to establish a ventilator central monitoring system (VCMS) and assess its effectiveness in an ICU environment.

Methods:

VCMS comprises central monitoring and mobile applications, and significant real-time information from multiple patient monitors and ventilator devices is stored and managed through the VCMS server, establishing an integrated monitoring environment on a web-based platform. The developed VCMS was analyzed in terms of real-time display and data transmission. Twenty-one respiratory physicians and staff members participated in usability and satisfaction surveys on the developed VCMS.

Results:

The data transfer capacity derived an error of approximately 〖10〗^(-7), and the difference in data transmission capacity was approximately 〖1.99×10〗^(-7)±〖9.97×10〗^(-6) with a 95% confidence interval of 〖-1.16×10〗^(-7) to 〖5.13×10〗^(-7) among 18 ventilators and patient monitors. The proposed VCMS could transmit data from various devices without loss of information within the ICU. The usability test, which consisted of 37 tasks and 9 scenarios, showed a task completion rate of approximately 92% with a 95% confidence interval of 88.81–90.43. The satisfaction survey consists of 23 items and shows results of approximately 4.66 points out of 5. These results demonstrate that the VCMS can be readily used by clinical staff in the ICU, confirming its clinical utility and applicability.

Conclusions:

The proposed VCMS can help clinical staff quickly respond to the alarm of abnormal events and diagnose and treat based on longitudinal patient data. The mobile applications overcame space constraints such as isolation to prevent respiratory infection transmission of clinical staff for continuous monitoring of respiratory patients and enabled rapid consultation, ensuring consistent care.