Enhancing ICU Outcomes Through Intelligent Monitoring Systems: A Comparative Study on Ventilator-Associated Events
<b>Background:</b> Using intelligent monitoring systems can potentially improve the identification and management of ventilator-associated events (VAEs). This single-center retrospective observational study evaluated the impact of implementing intelligent monitoring systems on the clinical outcomes of patients with VAEs in an ICU setting. <b>Method:</b> An intelligent VAE monitoring system was integrated into electronic medical records to continuously collect patient data and alert attending physicians when a ventilated patient met the criteria for a ventilator-associated condition, which was defined as an increase of at least three cm H<sub>2</sub>O in positive end expiratory pressure (PEEP), an increase of at least 0.20 in the fraction of inspired oxygen (FiO<sub>2</sub>), or the FiO<sub>2</sub> being over baseline for at least two consecutive days. This study covered two phases, consisting of before using the intelligent monitoring system (2021-2022) and during its use (2023-2024). <b>Results:</b> The results showed that patients monitored with the intelligent system experienced earlier VAE detection (4.96 ± 1.86 vs. 7.77 ± 3.35 days, <i>p</i> < 0.001), fewer ventilator-associated condition (VAC) occurrences, and a shorter total duration of VACs. Additionally, the system significantly reduced ventilator days, antibiotic use, and 14-day mortality. <b>Conclusions:</b> Intelligent monitoring systems enhance VAE management, improve clinical outcomes, and provide valuable insights into the future of critical care medicine.
Authors
- Hui‐Ling Lin (ORCID: https://orcid.org/0000-0002-8268-8907)
- Jui-Fang Liu (ORCID: https://orcid.org/0000-0002-1709-562X)
- Mengjia Kang
- Shih-Feng Liu
Institutions
- Chang Gung University of Science and Technology (TW)
- Chang Gung University (TW)
- Chang Gung Memorial Hospital (TW)
- Kaohsiung Chang Gung Memorial Hospital (TW)
Publication Details
- Journal
- Journal of Clinical Medicine
- Published
- 2024-11-03
- DOI
- https://doi.org/10.3390/jcm13216600
- Citations
- 3
- Primary Topic
- Nosocomial Infections in ICU
- Type
- article
- Field-Weighted Citation Impact
- 1.27
Funders
- Kaohsiung Chang Gung Memorial Hospital