Care Sensor App
IQ Sense puts a pressure sensor inside a care cushion. We built the firmware integration, the clinician app that pairs with it over Bluetooth, and the cloud portal the readings sync to.
Helping Hands are a British manufacturing company developing aids for daily living and pressure care products. IQ Sense extends their existing cushion range by putting a sensor inside the cushion itself, so pressure under a seated patient is measured as it happens rather than estimated at the next review.
This was an Internet of Things project rather than an app build, and the work spanned three layers:
- Firmware integration. The cushion is a firmware device. We integrated with it over Bluetooth so the app can find a cushion, pair with it reliably and read its pressure output while someone is sitting on it.
- The clinician app. A React Native app that sets a cushion up against the patient using it, plots the readings against three pressure bands, and shows a clinician where attention is needed.
- The cloud portal. Readings sync off the handset, so a clinician can review a patient remotely and the history belongs to the patient rather than to one phone.
Pressure builds when the same tissue stays loaded for too long, so the useful question is not what the pressure is right now but how long it has been high. Answering that needs the sensor, the app and the portal working as one system — which is what made this a connected-device project rather than a piece of mobile software.
From cushion to clinician
A sensing cushion, a React Native app that pairs with its firmware over Bluetooth, and a portal the readings sync to so patients can be monitored between visits.
Connecting to the cushion
Clinicians sign in with their own account and connect to a cushion over Bluetooth. We kept that step deliberately plain — find the device, pair with it, set it up for the patient who will be using it — because it is the step a busy ward has to get right without thinking about it.
From there the app talks to the cushion's firmware directly, reading pressure while the patient is seated. Those readings do not stay on the handset: they sync onward, so a clinician can look at a patient remotely and so the record survives a lost or replaced phone.
A user management screen lists everyone currently being monitored, so a clinician can move between patients without pairing again.
Reading the data
A stream of raw pressure values is not much use at a glance, so every reading is plotted against three bands:
- Optimum — pressure within target
- Monitor — drifting, worth a look
- Attention — sustained high pressure
The clinician can look at a single day or a whole week, with the time spent in each band shown alongside the chart. The point is to answer one question quickly: is this patient spending enough time off-load, and if not, when do they need moving?
More of our work
Read more case studies in our portfolio, see our Internet of Things capabilities, or contact Scorchsoft to talk about your own connected-device or healthcare app project.
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