Nights are when staffing is thinnest and risk is highest. HyperDecode adds a privacy-first layer of vigilance to your existing cameras — anticipating patient falls, tracking hand-hygiene compliance and flagging elopement risk, so clinical teams reach the bedside in time.
Patient falls carry serious clinical, liability and reimbursement consequences — and cluster on understaffed night shifts.
Hand-hygiene compliance is difficult to measure honestly, yet central to infection control and accreditation.
At-risk patients wander or elope toward exits before staff notice.
Emergency departments and waiting rooms overflow with no live view of occupancy and flow.
Any monitoring in a care setting must protect patient privacy and satisfy HIPAA from day one.
Each capability targets a specific problem, on the cameras you already run.
By the time a fall is discovered, the harm — and the liability — are already done.
Detects when an at-risk patient begins unsafe movement, such as attempting to leave the bed unassisted, and alerts staff to intervene beforehand — and recognises a fall immediately if one occurs.
Shift from post-fall reporting to pre-fall intervention, especially overnight.
Hygiene compliance is sampled by observation, which is partial and easy to game.
Monitors hand-hygiene events at room entry and exit and reports compliance rates by unit and shift, without singling out individuals.
Give infection-control teams continuous, objective data for accreditation and improvement.
Patients with dementia or behavioural risk approach exits unseen.
Flags at-risk movement toward doors and restricted areas and alerts staff before a patient leaves a safe zone.
Reduce elopement risk and the searches and incidents that follow.
ED and waiting-room crowding is managed reactively, without live numbers.
Provides real-time occupancy and dwell metrics for waiting areas, corridors and bays to support flow and, when needed, distancing.
Improve throughput and experience with a live operational picture.
Spills and hazards in corridors go unaddressed until someone is hurt.
Detects spills and obstructions in high-traffic areas and notifies environmental services to respond quickly.
Remove hazards proactively and protect patients, visitors and staff.
Continuous vigilance where night-shift staffing is thinnest and fall risk is highest.
Objective hygiene and safety data that stands up in Joint Commission and infection-control reviews.
Anonymised, HIPAA-conscious analytics that avoid facial recognition and PHI capture.
HyperDecode is software that runs on your existing CCTV — no rip-and-replace, no new hardware to buy or install. Point it at the feeds you already record and start turning them into intelligence.
The analytics are built to avoid capturing protected health information and do not rely on facial recognition. Detection can use anonymised or skeletal representations and be processed on-premises, with privacy modes for sensitive areas.
No. It augments clinical teams by directing attention to the moments that matter and reducing alarm fatigue. Clinicians stay in control of every response.
Typically patient rooms with appropriate privacy safeguards, plus corridors, entrances, waiting rooms and restricted thresholds — scoped to your governance requirements.
Yes. HyperDecode is designed to work with the camera infrastructure you already operate, so you can start without a capital hardware project.
Book a demo to see fall-prevention and hygiene analytics designed for care settings.