Accuracy of a wearable motion device to detect patient bed-exit in a general medical ward
Care Process & Redesign
Technology
National University Health System Quality Improvement
National University Health System
31 December 2018
Evaluate accuracy of wearable motion devices in detecting bed exits. Technology-driven interventions can enhance safety and reduce fall risks in inpatient settings.
Year Submitted: 2018
Published Date: 31 December 2018
Tags: Technology, Care Process ＆ Redesign, Digital Health, Sensors, Wearables, Value Based Care, Safe Care, Risk Management, Preventive Approach
About this Content
Aims
Evaluate accuracy of wearable motion devices in detecting bed exits.
Background
Falls are a significant risk for hospitalized elderly patients.
Methods
Tested wearable motion devices for detecting bed exits using sensitivity and specificity metrics.
Results
Device showed moderate sensitivity (65.3%) and specificity (68%); no falls occurred during study.
Conclusion
Technology-driven interventions can enhance safety and reduce fall risks in inpatient settings.
Lessons Learnt
Wearable devices are promising for fall prevention but require further refinement for reliability.
Keywords
Fall Detection, Wearable Devices, Safety Technology
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National University Health System |
Organization(s) Involved | National University Hospital |
Platform(s) | National University Health System Quality Improvement |
Healthcare Professional Group(s) | Nursing |
Applicable Specialty or Discipline | Healthcare Administrators |
Project Lead(s) | Goh Mien Li |
Project Member(s) | Siti Zubaidah Mordiffi |
Connect with this contributor!
Goh Mien Li - mien_li_goh@nuhs.edu.sg