Shorter Waits, Measured Properly
Waiting-room occupancy and dwell, clinic and room utilisation, and flow through public areas, measured without identifying a single patient.
Everyone Knows the Waiting Room Is Full
Staff feel it, patients mention it and the board hears about it. What is usually missing is the measured pattern: which hours, which days, which entrances, and whether last month’s change made any difference.
Counting occupancy in waiting rooms and public areas turns a shared impression into a trend, so rosters, waiting space and capital works can be planned on it.
What You Can See
Waiting-room occupancy
Live counts against capacity in waiting areas, with an alert when a room passes the level your team sets.
Dwell by hour and day
How long waiting areas stay occupied, by hour and by day: the trend behind a roster or a process change.
Room utilisation
Use of consult rooms, clinics and shared spaces, against how they are booked.
Flow through public areas
Entrances, corridors, lifts and cafés: where crowding builds and where people get lost.
Screens for patients
Waiting-area screens that show how busy it is and what to expect, driven by the live count.
Into your systems
Counts and alerts over the API, webhooks and MCP, into the operations and reporting tools you already use.
Choose, Measure, Improve
- 01
Choose the areas
Waiting rooms, entrances and the public spaces where the pressure shows. We plan node positions from floor plans.
- 02
Measure without identifying
Nodes count people and measure dwell. No faces, no names, nothing tied to a patient.
- 03
Improve, then show it
Rosters and space changes planned on the pattern, then measured again to show what changed.
Services With a Waiting Room
GP clinics and medical centres
Waiting-room load by hour, and the evidence for a roster change or an extra room.
Hospitals and health campuses
Flow through entrances, waiting areas and public spaces across the campus.
Allied health and dental
Use of rooms and chairs against bookings.
Community health services
Attendance at clinics and outreach, measured for funders and reporting.
No Names. No Faces. No Devices Tied to a Person.
Patients are counted, never identified, and no personal or health information is collected. The nodes measure how full a space is, not who is in it.
The nodes count and measure movement. They never identify anyone, there is no facial recognition, and no names, faces or devices are tied to a person. You get the number without collecting anything about the people it counts.
HealthSense, Answered
Does this collect any patient information?
No. Nodes count people and measure how long a space stays occupied. They do not identify anyone, use facial recognition or collect personal or health information.
Is it a clinical system?
No. It measures occupancy and flow for operations and planning. It is not a medical device and makes no clinical decisions.
Can patients see how busy it is?
Yes. A waiting-area screen or a web page can show live occupancy and what to expect.
Do you need to connect to our network?
No. Nodes can report over 4G, so measurement can start without an IT project. Integration with your systems over the API can follow when you want it.
Measure Your Busiest Waiting Room
See live occupancy, queues and crowd flow — and how they’d work on your site.
