Remote monitoring for faster, safer hospital discharge
Howz improves hospital discharge for people with cognitive impairment, supporting them to return home as soon as it is safe to do so.
Howz uses remote monitoring technology to build a round-the-clock view of behaviour at home. We identify the key indicators of hospital readmission to enable interventions at the point of need.
Proven impact by NHS research
Reduction in risk of
care home admission
Reduction in
inpatient stays
Reduction in emergency admissions
3-step solution for better care outcomes
Howz remote monitoring gathers a round-the-clock, objective view of behaviour at home after discharge.
Remote monitoring
Howz machine learning analyses each individual’s behaviour and flags indicators of readmission risk.
Machine learning
Howz reports and app provide clear risk insight for fast and confident decisions by care teams and families.
Reports and app
Outcomes
For health and social care
Faster discharge from hospital
Reduced risk of care home admission
Reduce risk of hospital readmission
Faster reduction in at-home care package
For patients
Minimise hospital time to avoid cognitive decline
Reduce anxiety for patient and family
Enable support at point of need
Live independently for longer
Our clinical expertise
Co-founded by physiotherapist Louise Rogerson and data scientist Jonathan Burr, Howz combines clinical expertise with advanced machine learning algorithms so we can accurately detect indicators of risk.
Working hand in hand with the Dementia Research Institute and the University of Lancaster, our technology and clinical approach is based on deep scientific rigour.
We analyse every user as an individual with their own needs & circumstances for personalised and proactive care.
Accreditations
