Augmenting pre-MRI Safety Screening for Active Implants with Endeavour AI
Care Process & Redesign
Technology
National Healthcare Innovation and Productivity Medals
National University Health System
9 October 2025
To automate and improve the efficiency of pre-MRI safety screening for patients with Active Implantable Medical Devices. The EAI Implant dashboard significantly improved the efficiency of pre-MRI safety screening, enhancing patient care and departmental.
Year Submitted: 2025
Published Date: 09 October 2025
Tags: Technology, Care Process ＆ Redesign, Productivity, Cost Saving, Automation, Artificial Intelligence, Time Saving
About this Content
Aims
To automate and improve the efficiency of pre-MRI safety screening for patients with Active Implantable Medical Devices (AIMD) and Passive Medical Devices (PMD) using Endeavour AI.
Background
MRI procedures pose risks for patients with AIMD/PMD, and a significant portion of these devices remain undeclared by clinicians. Manual screening is time-consuming and inefficient.
Methods
An Implant dashboard using Endeavour AI was developed to automatically flag patients with potential implants by analyzing electronic health records and radiology reports, reducing manual screening time.
Results
The dashboard reduced manual screening time from 400 minutes to under 5 minutes daily, saving $130,350 annually in manpower costs and $38,000 from machine idle time.
Conclusion
The EAI Implant dashboard significantly improved the efficiency of pre-MRI safety screening, enhancing patient care and departmental workflow.
Lessons Learnt
Interdisciplinary collaboration, user-centered design, early engagement, and continuous feedback are crucial for successful implementation.
Keywords
MRI, Safety Screening, Implants, Automation, Radiology
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 | Radiology |
Project Lead(s) | Regine Teo Ee Chin |
Project Member(s) | Jen Hsin-Yu |
Connect with this contributor!
Ms Regine Teo Ee Chin - Ee_chin_teo@nuhs.edu.sg
Project Attachment
461_NUH_NHIP 2025_Augmenting_pre-MRI_Safety_Screening_for_Active_Implants_With_Endeavour_AI.pdf