Intensive Care Units (ICUs) are among the most high-pressure hospital environments, with healthcare professionals facing burnout rates nearing 40%. To address this, CMUH developed HiThings Tele-ICU, an Artificial Intelligence of Things (AIoT) empower system designed to enhance patient outcomes while reducing caregiver burden.

At its core, HiThings Tele-ICU processes real-time data from up to 60,000 medical devices, seamlessly integrating medical records, imaging, prescriptions, and treatment plans while securely storing data for 10 years. Its digital-twin and 3D human models provide dynamic physiological insights, supporting faster, more precise clinical decisions.

The system’s AI-driven predictive tools assist in diagnosing and managing ARDS, sepsis, myocardial infarction, ischemic stroke, and more, enabling earlier interventions when necessary. High-definition video systems ensure remote consultations and real-time access to patient data via mobile devices, allowing continuous monitoring even when clinicians are off-site.

Deployed across five ICU units—respiratory, cardiac, surgical, pediatric, and neonatal—HiThings Tele-ICU has yielded significant improvements: 5.5% reduction in ICU mortality, 16.7% decrease in ARDS mortality, and 17.6% increase in one-year survival for MRSA sepsis patients. Operational efficiencies include a 44.1% reduction in data retrieval time, 94% less medical documentation time, and 62.7% faster shift handovers, allowing clinicians to focus more on direct patient care.

Journal Article

• Using real-time visualization system for data-driven decision support to achieve lung protective strategy: a retrospective observational study. 
  https://pubmed.ncbi.nlm.nih.gov/35996117/
• Impact of the implementation of the Intelligent Antimicrobial System (iAMS) on clinical outcomes among patients with bacteraemia caused by methicillin-resistant Staphylococcus aureus.
  https://pubmed.ncbi.nlm.nih.gov/38490572/
• Implementation of an All-Day Artificial Intelligence-Based Triage System to Accelerate Door-to-Balloon Times.
  https://pubmed.ncbi.nlm.nih.gov/36336511/
• Automated delineation of acute ischemic stroke lesions on non-contrast CT using 3D deep learning: A promising step towards efficient diagnosis and treatment. 
  https://doi.org/10.1016/j.bspc.2024.106139
• Design and Implementation of an Intensive Care Unit Command Center for Medical Data Fusion, Sensors. 
  https://pubmed.ncbi.nlm.nih.gov/38931713/
• Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care. 
  https://pubmed.ncbi.nlm.nih.gov/36312246/​

Awards

2024

• AI Integration Award by The Storm Media, Taiwan

 2024 & 2023

• Symbol of National Quality (SNQ) Mark, Taiwan

2023

• HIMSS Davies Award of Excellence, USA
• Quality Award in Emergency and Critical Care Medicine, Silver Award, Taiwan Society of Critical Care Medicine, Taiwan

​2022

• Symbol of National Quality (SNQ) Bronze Award, Taiwan

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Patents

• MEDICAL DATA INTEGRATION AND ANALYSIS SYSTEM, Taiwan, Pending
• DESIGN AND IMPLEMENTATION OF AN INTENSIVE CARE UNIT COMMAND CENTER FOR MEDICAL DATA FUSION, USA, Pending

Trademarks

• HiThings, Taiwan and USA, Pending
• 智匯海, Taiwan, Pending

Monitoring mechanism

• Information Security and Privacy: Complies with standards such as ISO 27701, ISO 27001, ISO 29100, and ISO 29191. Regular system vulnerability scans are conducted. User permissions are reviewed and updated periodically, with usage logged and inappropriate usage flagged with alerts.
• System Performance and Accuracy: Regular performance testing and data validation are carried out to ensure optimal system operation and data integrity.
• Data Governance: Through the Information Management Committee and the Smart Healthcare Committee, system usage is monitored and clinical needs are reviewed

Contact window

Digital Transformation Technology Office
Email: 081666@tool.caaumed.org.tw, Phone: +886-422052121 ext 12568