[FR-VMS] Facial Recognition Visitor Management System
Care Process & Redesign
Technology
National Healthcare Innovation and Productivity Medals
Others
31 December 2022
Improve security access control, enhance visitor management, and automate visitor registration processes using facial. The system has improved security, streamlined the visitor journey, and resulted in significant cost and time savings; it is being.
Year Submitted: 2022
Published Date: 31 December 2022
Tags: Technology, Care Process & Redesign, Digitalisation, Automation, Digital Health, Data Management, Data Analytics, Sensors, Quality Improvement, Job Effectiveness, Productivity, Manhour Saving, Cost Saving, Value Based Care, Patient Satisfaction, Customer Intelligence
About this Content
Aims
Improve security access control, enhance visitor management, and automate visitor registration processes using facial recognition technology.
Background
NTUC Health faced challenges in managing visitors due to manual processes, inaccurate records, and inefficiencies, particularly during the pandemic.
Methods
Implemented a facial recognition system for visitor registration and access control, with pre-registration and self-registration kiosks.
Results
Reduced registration time significantly; achieved a high level of satisfaction from staff and visitors; $59,112 annual savings in staff time.
Conclusion
The system has improved security, streamlined the visitor journey, and resulted in significant cost and time savings; it is being scaled to more locations.
Lessons Learnt
Continuous feedback and adaptation of the system are crucial for improving both security and user experience.
Keywords
Facial Recognition, Visitor Management, Automation, Digital Health
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | Others |
Organization(s) Involved | NTUC Health |
Platform(s) | National Healthcare Innovation and Productivity Medals |
Healthcare Professional Group(s) | Healthcare Administration |
Applicable Specialty or Discipline | Healthcare Administrators |
Project Lead(s) | James Lim |
Project Member(s) | Kwek Mei Chen |
Connect with this contributor!
James Lim - james.lim@ntuchealth.sg
Project Attachment
C_38_NTUC_Health_NHIP_2022_Facial_Recognition_Visitor_Management_System_FR_VMS.pdf
