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Electronic Functionalities
To Achieve Lung Protective Strategy in ARDS Patients
▲ A skilled and dedicated team of healthcare professionals with diverse expertise is required to provide complex care.
▲ The data from the hospital information system, Internet of Medical Things (IoMT), and AI center were integrated, visualized, and analyzed through self-service RTBI analytics. It is implemented in ICU devices to provide data-driven decision support for ICU clinical team members, including a real-time notification mechanism to timely inform clinical physicians about clinical deterioration.
Five Key Features
•High-efficiency IoMT Integration Platform
•High-precision ARDS AI Diagnosis
•High-visibility RTBI Real-time Data Analysis and Visualization
•Highly-flexible Real-time Alert System
•Three years of practical experience in the Medical Center Intensive Care Unit.
▲ Gather and visualize the key information in this ARDS-specific panel. Clinicians can easily identify the turning point in disease progression. With timely management, we can also track the trend of lung protection from the danger zone to the safe zone.
Number of usages:
- All ICU patients were screening for ARDS. From 2021/1 to 2024/1, 4,102 ICU patients had been screened and 702 ARDS patients were monitored for lung protection application.
Achievements
Award:
- National Healthcare Quality Award, 2024
- HIMSS Davies Award, 2023
- National Healthcare Quality Award-Smart Healthcare Solution Group, 2022
Papers:
- Tseng, HY., Chen, CL., Lin, YC. et al. Using real-time visualization system for data-driven decision support to achieve lung protective strategy: a retrospective observational study. Crit Care 26, 253 (2022). https://doi.org/10.1186/s13054-022-04091-0
(Q1, IF = 15)
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