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.

Clients