PreSAGE® AI-Powered Bed-Exit Prediction and Falls Prevention System
Care Continuum
Care Process & Redesign
Technology
National Healthcare Group Quality Improvement
National Healthcare Group
9 October 2025
To develop and implement the PreSAGE® AI-Powered Bed-Exit Prediction and Falls Prevention System to reduce inpatient falls. The PreSAGE® system effectively reduces fall rates and improves patient safety, demonstrating its potential for broader adoption.
Year Submitted: 2025
Published Date: 09 October 2025
Tags: Care Process ＆ Redesign, Allocative Value, Technology, Sensors, Automation, Artificial Intelligence, Digitalisation, Value Based Care, Safe Care, Care Continuum, Preventive Care
About this Content
Aims
To develop and implement the PreSAGE® AI-Powered Bed-Exit Prediction and Falls Prevention System to reduce inpatient falls and improve patient safety.
Background
Inpatient falls and related injuries are a significant issue, exacerbated by an ageing population and complex patient profiles. Traditional bed exit systems have limitations, prompting the need for innovative solutions.
Methods
The PreSAGE® system was co-developed with a local engineering company, utilizing thermal imaging sensors and smart video analytics. A proof of concept was piloted in a 15-bedded single room environment, followed by phased implementation in TTSH.
Results
The system achieved a 43% reduction in overall falls rate in Single/Isolation rooms and annual nursing time savings equivalent to 1.59 FTE in productivity gains.
Conclusion
The PreSAGE® system effectively reduces fall rates and improves patient safety, demonstrating its potential for broader adoption.
Lessons Learnt
Stakeholder involvement and ongoing communication are crucial. A phased implementation and comprehensive risk assessment were key success factors.
Keywords
Falls Prevention, Bed-Exit Prediction, Patient Safety
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National Healthcare Group |
Organization(s) Involved | Tan Tock Seng Hospital |
Platform(s) | National Healthcare Group Quality Improvement |
Healthcare Professional Group(s) | Nursing |
Applicable Specialty or Discipline | Geriatric Medicine |
Project Lead(s) | Wendy Leong Hui Ling |
Project Member(s) | Fatin Syariah Binte Mohamed Azman |
Connect with this contributor!
Ms Wendy Leong Hui Ling - hui_ling_leong@ttsh.com.sg
Project Attachment
838_TTSH_NHIP_2025_PreSAGE_AI-Powered_Bed_Exit_Prediction_and_Falls_Prevention_System.pdf