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.

Journal Article

• An AIoT enabled system for optimizing data retrieval in the intensive care unit evaluated in a randomized crossover pilot trial.

• The implementation of the Infection Control Map—an integrated, visual online information system—enhanced infection control practices and reduced the incidence of multidrug-resistant organisms in a medical intensive care unit

• 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

• Newsweek AI Impact Awards APAC, Patient Care Best Outcome 
• Technology Innovation of the Year, Healthcare Asia Awards
• Smart Healthcare Initiate of the Year, Healthcare Asia Awards
  

• Silver Award of National Healthcare Quality Award (NHQA), Taiwan
• Digital Transformation Awards, Harvard Business Review, Taiwan
• Technology Award of Healthcare Systems Consortium, Taiwan
     

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 +886-422052121 ext. 12568
081666@tool.caaumed.org.tw