Patient Movement
Monitoring
Real-time AI-powered patient movement tracking and critical event detection for healthcare facilities. Privacy-preserving camera technology that monitors patient safety without storing identifiable imagery. For patient safety purposes only.
AI-Powered Patient Safety Monitoring That Protects Privacy
The Patient Movement Monitoring system uses DeCloak's AipA (AI-aided Privacy Agent) technology to provide real-time patient movement tracking and critical event detection across healthcare facility environments. Camera feeds are processed by on-device AI to detect falls, incidents, and unusual movement patterns — while simultaneously de-identifying patient imagery before any data is stored or transmitted.
Unlike conventional CCTV surveillance, the system does not retain identifiable footage of patients. Privacy-preserving processing occurs at the point of capture, enabling healthcare facilities to monitor patient safety continuously without creating a database of patient imagery. Staff receive real-time alerts for detected safety events, enabling faster response without requiring constant manual monitoring.
The system is designed for deployment in acute care wards, aged care facilities, mental health units, emergency departments, and any healthcare setting where patient safety and staff response time are priorities. This product is not a medical device and is not TGA-registered. It is for patient safety purposes only.
System at a Glance
Privacy-Preserving AIReal-time de-identification at the point of capture — no identifiable patient imagery stored or transmitted
Fall DetectionAutomatic detection of patient falls with immediate staff alert notification
Critical Event DetectionAI recognition of incidents, aggressive behaviour, and medical emergencies requiring rapid response
Continuous Operation24/7 monitoring without requiring constant manual observation by nursing staff
Not a Medical DeviceFor patient safety purposes only — no TGA registration, no clinical diagnostic claims
How Patient Movement Monitoring Works
Privacy-preserving AI processes camera feeds in real time — detecting events and alerting staff without retaining patient imagery.
Camera Capture
Facility cameras capture movement in patient areas, corridors, and wards. No specialised hardware required — system integrates with existing camera infrastructure.
Real-Time De-identification
DeCloak's AI de-identification processes video at the edge or local server before storage or transmission — removing personally identifiable features from all imagery.
AI Event Detection
Multimodal deep neural networks analyse de-identified movement data to detect falls, unusual inactivity, agitation, and critical safety incidents in real time.
Instant Staff Alert
Detected events trigger immediate alerts to nursing stations, mobile devices, or nurse call systems — enabling faster staff response without manual monitoring.
Safety Reporting
De-identified event logs are available for facility safety review, incident reporting, and quality improvement — without retaining patient-identifiable records.
Built for Healthcare Safety Environments
Designed to improve patient safety outcomes while meeting the privacy expectations of healthcare facility governance and patients.
Privacy-Preserving De-identification
Patented AI de-identification removes identifiable patient features from imagery in real time at the point of capture. No identifiable patient footage is retained in storage or transmitted across networks.
Fall Detection & Alert
Automatic detection of patient falls using AI movement analysis. Detected falls trigger immediate alerts to nursing staff, reducing the time between incident and response.
Critical Event Detection
AI recognition of aggressive behaviour, medical emergencies, and other critical safety events beyond falls — including detection of extended inactivity and unusual movement patterns.
24/7 Continuous Monitoring
Automated monitoring operates continuously without requiring dedicated observation staff. Reduces nursing workload associated with manual patient observation while maintaining safety coverage.
Integration with Existing Infrastructure
Designed to work with existing facility camera systems, nurse call platforms, and local network environments. Reduces deployment cost and complexity compared to purpose-built monitoring systems.
De-identified Safety Reporting
Event data is logged in de-identified form, supporting facility incident reporting, safety committee review, and quality improvement activities without creating patient privacy obligations around footage retention.
Where It Can Be Deployed
Suitable for any healthcare environment where patient safety monitoring, fall prevention, and rapid staff response are operational priorities.
Acute Care Hospital Wards
Continuous monitoring of general medical and surgical wards where patient mobility, fall risk, and rapid deterioration are ongoing safety concerns. Supports existing nursing observation workflows.
Aged Care & Residential Facilities
Monitoring of residents in aged care environments where fall risk is elevated and staffing ratios may limit one-to-one observation. Particularly relevant for dementia care and high-dependency units.
Mental Health Inpatient Units
Detection of critical safety incidents in psychiatric inpatient settings, including self-harm risk monitoring, agitation detection, and rapid response support — while preserving patient dignity through de-identification.
Emergency Departments
Monitoring of waiting areas and treatment bays in emergency departments where patient deterioration, agitation, and fall risk require rapid response across high-volume, high-acuity environments.
Intensive Care Units
Supplementary monitoring of ICU patients where extended monitoring periods, sedation, and mobility restrictions create specific fall and incident detection requirements alongside existing clinical monitoring systems.
Rehabilitation Wards
Monitoring of patients undergoing physical rehabilitation where supervised mobility, fall risk during assisted ambulation, and activity tracking are components of the patient safety and recovery programme.
Clinical & Industry Validation
DeCloak's patient safety AI has been deployed in real-world healthcare environments and presented at leading AI healthcare conferences.
National Taiwan University Hospital — Hsin-Chu Branch
DeCloak's AipA Healthcare System has been deployed and is operational at National Taiwan University Hospital (NTUH) Hsin-Chu Branch Zhubei Campus — one of Taiwan's leading tertiary referral hospitals. The system operates across both clinical wards and public areas of the facility, providing real-time patient safety monitoring with privacy-preserving de-identification.
AI Healthcare Presentation: Multimodal DNN and VLM for Event Detection
Dr. Yao-Tung Tsou, President of DeCloak Intelligences, presented at NVIDIA GTC 2025 — one of the world's leading AI and GPU technology conferences — on the topic "Enhance Patient Safety With Privacy-Preserving AI: Multimodal DNN and VLM for Event Detection in Healthcare." The presentation demonstrated the AipA system's capabilities in real-world hospital environments in partnership with NTUH Hsin-Chu Branch.
Differential Privacy & Homomorphic Encryption
The privacy-preserving architecture is built on differential privacy techniques and homomorphic encryption principles — enabling AI analysis on de-identified data without exposing underlying patient information. This approach is designed to support compliance with GDPR, Australia's Privacy Act 1988, and healthcare facility governance requirements for patient data handling.
Regulatory Classification
The Patient Movement Monitoring system is not a medical device under the Therapeutic Goods Act 1989 (Cth) and is not listed on the Australian Register of Therapeutic Goods (ARTG). It does not diagnose, prevent, or treat any medical condition. The system is a patient safety monitoring tool for use by healthcare facility operations and safety staff. No clinical diagnostic claims are made. For patient safety purposes only.
Common Questions
Contact us for facility-specific deployment enquiries.
Product Documents
Technical and product documentation for facility evaluation and procurement. Contact us for additional materials.
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Get in touchFor patient safety purposes only. The Patient Movement Monitoring system is not a medical device under the Therapeutic Goods Act 1989 (Cth) and is not listed on the Australian Register of Therapeutic Goods (ARTG). It is not a TGA-registered in vitro diagnostic device. The system does not diagnose, prevent, monitor, or treat any medical condition and makes no clinical diagnostic claims. It is intended solely for use by healthcare facility operations and safety staff as a patient safety monitoring tool. System outputs must not be used as the basis for clinical diagnostic or treatment decisions. Refer to the product documentation for full intended use and limitations. Supplied in Australia by Advanced Biotech Pty Ltd.
Enquire About Patient Movement Monitoring
Contact Advanced Biotech Pty Ltd for product information, facility demonstrations, pricing, and deployment enquiries across Australia.