Health intelligence wearable
The supplier describes heart-rate, oxygen-saturation, HRV, activity and wellbeing information from supported wearable hardware.

Connected wearable monitoring and a cloud dashboard to help authorised care teams review physiological and activity information between visits.
Rehabilitation providers, eldercare, assisted-care organisations and remote-monitoring programmes.
Capabilities depend on the selected hardware, connectivity and deployment design. The platform supports agreed care workflows and does not replace professional assessment, supervision or emergency services. Deployment is subject to intended-use, regulatory and data requirements.
Product information summarised from TRUST’s published materials.
TRUST describes AI-assisted recovery support connecting behavioural and biometric insights with clinicians. Its platform spans enterprise wellbeing, elder care, rehabilitation and post-discharge support.
The supplier describes heart-rate, oxygen-saturation, HRV, activity and wellbeing information from supported wearable hardware.
Manual SOS, GPS and geofencing can feed configured alerts for designated caregivers or responders.
Dashboards bring selected trends and behavioural context into clinician-linked review and recovery-support workflows.
Published options include eSIM connectivity and API, MQTT and HTTPS integration. Confirm device, network and interface compatibility for each deployment.
An example of how a wearable SOS can reach a responsible person. This animation is a process illustration, not a live patient feed.
A person presses the wearable’s assistance button.
Supported location information reaches the platform.
Relevant readings and trends help an authorised reviewer understand the alert.
The configured workflow notifies designated caregivers or responders.
Teams review updated location and status under the agreed care plan.
Deployment scope, clinical suitability, consent, integrations and local requirements must be confirmed. Designed to support clinical judgement, not standalone diagnosis. Alerts do not guarantee a response or replace emergency services.
Consented wellbeing programmes and review of supported trends.
Shared visibility and named responsibilities for configured safety alerts.
The supplier describes clinician-linked addiction-recovery support, with activity and behavioural context for professional follow-up.
Defined monitoring periods and care-team follow-up between visits.
Nine proposed use cases to shape a focused evaluation with your care team.
Support person-centred safety, location awareness and individual routines, with consent and attention to comfort. Behavioural insights require validation; this is not a diagnostic or treatment tool.
Bring activity, location and shared trends into the care team’s view, with named alert responders. Fall alerts and response arrangements require validation within the selected deployment.
A proposed shared ward view of supported readings and configured changes for nurse review. Intended to complement established ward-monitoring systems and clinical assessment.
Review selected trends and alerts between follow-ups under an agreed care plan. Define the monitoring period, responsibilities and any reminders within the programme’s scope.
Use activity and mobility trends to inform therapy reviews and personal goals. Recovery scores and clinical interpretation require validation before they inform care decisions.
Explore routine and activity trends against personal goals, with consented visibility for the support team. These signals do not establish mood, stress or relapse.
Bring supported activity and sleep trends into conversations with care teams. Use them as context for wellbeing discussions, without disease-prediction or diagnosis claims.
A proposed shared view of patient lists, readings and data freshness, with assigned alerts, acknowledgement, escalation and shift handover. Effectiveness depends on devices, connectivity, staffing and response arrangements.
Evaluate whether shared views, prioritised alerts and clear ownership reduce duplicate work and improve handover. Benefits remain unproven; prevention of staff burnout has not been demonstrated.
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