Faster, safer discharge with remote risk profiling
Howz enhances hospital discharge for vulnerable people by providing real-time risk profiling and analytics at home. We use intelligent monitoring to get an accurate assessment of a user, instantly escalating any issues that require attention to the right people through tiered alerts.
A scalable solution to delayed transfer of care
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Discharges delayed due to homecare capacity
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Waiting for care home admission
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Waiting for short term rehabilitation
Discharge risk profiling
Howz use intelligent monitoring to track patient performance against the key risks at discharge, and apply analytics and machine learning to assess if and how at-home behaviour is elevating any risks. We immediately see when a risk profile has changed and point to the exact area of concern to address.
The key risks assessed in real-time
Our intelligent monitoring is engineered to provide clinical answers to clinical questions that assess each risk individually
Escalation factor tracking
Each risk has its own driving factors. We isolate the behaviours you need to know for accurate risk profiling
Workforce productivity gains
Accurate risk insight informs the right conversations, making teams more productive and extending capacity
Tiered alerts and escalation
We provide a range of alerts based on real-time performance against risk factors, from instant call elevation, to recommendations of care visits and even step-down opportunities.
Our analytics integrate with alarm response centres, clinical monitoring teams and domiciliary care providers as well as health and social care platforms.
Graded alerts based on risk elevation
Our graded risk profiling informs an intervention-led approach so the right people can step in based on individual need
Daily emails guiding care planning
We provide instantly accessible reports with traffic light assessments that prioritise the sites that need to be reviewed, so you don’t need to waste time logging in to dashboards
Connects to local Alarm Receiving Centre
Primary triage taken care of with existing escalation pathways reducing need for system behaviour change
Engagement of families
Successful discharge at home often relies on an informal network that can support a service user with their longer term reablement. Howz engages families by providing an app that illustrates how their loved one is getting on, and empowers them to offer home support.
Reassures patient and family
Howz significantly reduces the anxiety of users and families who are worried if they will be ok at home. Our round-the-clock analytics provide the comfort that's needed to expedite discharge
Engages family in home support
With a real-time view of how a loved on is adjusting to being at home, families have the information they need to check in more frequently and provide practical assistance and support
View level of family support when assessing discharge
The Howz app tracks family engagement so teams can consider the level of support available when assessing discharge in a home environment
Insight at individual, cohort and population level
Our north star is the accuracy and dependability of our data and recommendations. Working with University of Lancaster, Howz algorithms are built on deep scientific rigour. Our changepoint analytics pinpoint the most critical information you need to know at an individual, cohort and population level.
Users analysed as individuals
Howz understands every user as an individual with their own personal rhythms, and profiles their risks according to those. We do not view people as anomalies in batched data, but in accordance with their own unique cadences.
Cohort-level analysis
We accurately inform you of the most high risk individuals within your discharge cohorts so you can mobilise your teams accordingly. Our cohort status reports inform decisions in 3 minutes
Advancing knowledge base at population-level
We share data and insight to advance the knowledge base about discharge management. We inform future decisions about what constitutes successful and failed discharge
What Howz customers are saying
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