[AVBC 2025] Increase the Accuracy of Assistive Equipment Prescription Rate Via Senior Mobility Fund (SMF)
Care Process & Redesign
Technology
Appropriate & Value-based Care Conference
National Healthcare Group
10 November 2025
To increase the accuracy of assistive equipment prescription rate via Senior Mobility Fund (SMF) from 76.95% to 100% in 6. The interventions show promise in improving the accuracy of assistive equipment prescriptions, though further efforts are needed to.
Year Submitted: 2025
Published Date: 10 November 2025
Tags: Care Process ＆ Redesign, Technology, Productivity, Assistive Technology, Workflow Redesign, Quality Improvement
About this Content
Aims
To increase the accuracy of assistive equipment prescription rate via Senior Mobility Fund (SMF) from 76.95% to 100% in 6 months in TTSH.
Background
Inappropriate assistive equipment prescription can lead to frustration, discomfort, and development of secondary conditions, undermining patient safety during transitions from hospital to home.
Methods
Interventions included roadshows on updated user guides and workflows, reminder posters, and eLearning on SMF flow to increase awareness and standardize application processes.
Results
Post intervention, the median accuracy increased from 76.9% to 88.89%.
Conclusion
The interventions show promise in improving the accuracy of assistive equipment prescriptions, though further efforts are needed to reach the 100% target.
Lessons Learnt
Drill more in depth on the 'why' during analysis, involve relevant stakeholders, analyze data before modifying interventions, and maintain active communication with AIC.
Keywords
Assistive Equipment, Prescription, Accuracy, SMF, Cost Saving
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National Healthcare Group |
Organization(s) Involved | Tan Tock Seng Hospital |
Platform(s) | Appropriate & Value-based Care Conference |
Healthcare Professional Group(s) | Allied Health |
Applicable Specialty or Discipline | Rehabilitation Therapy |
Project Lead(s) | Chia Rui Min |
Project Member(s) | Chu Pei-Yi |
Connect with this contributor!
Chia Rui Min - rui_min_chia@ttsh.com.sg