Can a hospital room quietly understand when a patient needs help before they press the call button?
A non-contact room sensor layer — sound, movement, air, light — that notices unusual change and raises it with staff early.
Deterioration is usually visible in the room before it is visible in the notes. The call button assumes the patient is well enough to press it.
How it would be built
- —No cameras. Sound signature and movement pattern only.
- —Every alert names the change that triggered it, in one line.
- —Staff can dismiss an alert, and the dismissal is the training signal.
- —Escalation is a nudge to a human, never an automated clinical decision.
An early-warning prompt for staff. Not a monitor, not a diagnosis.
Project Plainscan
ResearchCan every medical scan be explained in plain English?
A companion to the clinician's explanation that turns an MRI, CT or X-ray report into language a worried person can actually follow.
Patients receive their report before, or instead of, an explanation. The gap between reading it and understanding it is filled with fear and search engines.
How it would be built
- —Explains what the words mean. Never states what they mean for you.
- —Sits alongside the clinician's account, never in front of it.
- —Flags every term it is unsure about rather than smoothing over it.
- —Generates the questions worth asking at the next appointment.
Comprehension support only. No interpretation, no reassurance, no prognosis.
Can patients remember everything a doctor tells them?
A personalised summary after an appointment: what was said, what to take, what to watch for, what to ask next time.
People retain a fraction of what is said in a consultation, and almost none of it when the news is difficult. The information was given. It just did not survive the car park.
How it would be built
- —Consent first, recorded and revocable by the patient.
- —Clinician reviews the summary before it reaches the patient.
- —Medication timing and follow-up dates in the patient's own calendar.
- —A short list of questions for the next appointment.
A record of what was said. It never adds advice that was not given.
Project Safe Table
ResearchCan restaurants, cafés and shops become safer for people with allergies?
A menu and shelf layer that highlights allergens against a person's own profile at the moment of choosing, and separates allergy from intolerance.
The information usually exists. It is buried in a folder behind the counter, written for compliance rather than for a person deciding what to eat.
How it would be built
- —Profile lives on the person's device, not in the venue's system.
- —QR or tap at the table returns a yes, a no, or an honest 'ask the kitchen'.
- —Allergy, intolerance and preference kept visibly separate.
- —Kitchen-side view shows the change without adding another screen to a service.
Surfaces what the venue has declared. It cannot vouch for a kitchen.
Can we detect falls or changes in mobility before they become emergencies?
A privacy-first home system watching for gradual change in how someone moves — slower stairs, longer sits, shorter walks — so intervention happens before the fall.
A fall is treated as the event. Usually it is the end of a decline that was measurable for months.
How it would be built
- —Ambient sensing, no cameras, nothing leaves the home unprocessed.
- —Trends over weeks, not alarms over seconds.
- —The person decides who sees the trend, and can switch it off.
- —Reports written for a family member, not a clinician.
A prompt to check in earlier. Not a fall alarm, not a care substitute.
Can art improve hospital environments?
Guided digital art walks, calm visual sequences and museum partnerships for hospitals, dialysis units and care homes.
Treatment involves a great deal of waiting in rooms designed for cleaning, not for calm. Attention has somewhere better to go.
How it would be built
- —Curated with collections, not generated filler.
- —Designed for a chair, a bed and a two-hour infusion.
- —No accounts, no login, no data taken from a patient.
- —Measured on whether staff and patients actually keep using it.
Wellbeing and environment. No therapeutic claim.
Project Echo and Project Beacon already exist at Quinn Labs — machine sound, and product discovery. The medical scan tool is Project Plainscan, and the allergy work runs as Project Safe Table so the collection stays unambiguous.
