Leveraging Endeavour AI to Eliminate Redundant CT Studies Performed
Technology
National Healthcare Innovation and Productivity Medals
National University Health System
31 December 2024
Develop a solution using Endeavour AI to identify and eliminate redundant CT studies, improving accuracy and time efficiency. The AI system improved efficiency, reduced unnecessary scans, and resulted in cost savings and enhanced patient safety.
Year Submitted: 2024
Published Date: 31 December 2024
Tags: Technology, Digital Health, Data Management, Data Analytics, Digitalisation, Automation, Artificial Intelligence
About this Content
Aims
Develop a solution using Endeavour AI to identify and eliminate redundant CT studies, improving accuracy and time efficiency.
Background
Redundant CT studies were a significant issue in radiology, leading to unnecessary patient exposure and wasted resources.
Methods
Used Endeavour AI and TIBCO Spotfire for real-time analytics, integrating patient data from EHR to identify redundant CT exams.
Results
Reduced redundant CT studies by 90%, with significant improvements in efficiency, saving time and resources.
Conclusion
The AI system improved efficiency, reduced unnecessary scans, and resulted in cost savings and enhanced patient safety.
Lessons Learnt
Interdisciplinary collaboration, adaptability, and real-time data analytics were essential for success.
Additional Information
National Healthcare Innovation & Productivity (NHIP) 2024 – Best Practice (Automation, IT, and Robotics category)
Keywords
Endeavour AI, Redundant CT Studies, Diagnostic Imaging, Artificial Intelligence, Efficiency
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National University Health System |
Organization(s) Involved | National University Hospital |
Platform(s) | National Healthcare Innovation and Productivity Medals |
Healthcare Professional Group(s) | Allied Health |
Applicable Specialty or Discipline | Diagnostic Radiography |
Project Lead(s) | Ang Xu Kai |
Project Member(s) | Lim Shi Wei Desmond |
Connect with this contributor!
Ang Xu Kai - xu_kai_ang@nuhs.edu.sg
Project Attachment
C_400_NUH_NHIP_2024_Leveraging_Endeavour_AI_To_Eliminate_Redundant_CT_Studies_Performed.pdf