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TESSA

Use cases · Home follow-up · Community care · Primary care

Support for family carers

Family carers often run out of energy and support, and it usually only shows when they reach crisis point. TESSA checks in with carers on how they're coping, sleep, practical needs and questions about care tasks, gives plain-language guidance, and points them to respite and support services. Carers who are struggling are flagged to the care team, so help can be arranged early.

Illustration. Not a real patient.

At a glance

Does
Information gathering, Counselling, Patient education, Triage
Setting
Home follow-up, Community care, Primary care
Specialty
Geriatrics, Palliative care, Neurology, Any specialty
Who
Patient-facing

Also searched as

family carer support · caregiver support · caregiver burnout · carer / caregiver respite

Questions

What does TESSA do in support for family carers?

Family carers often run out of energy and support, and it usually only shows when they reach crisis point. TESSA checks in with carers on how they're coping, sleep, practical needs and questions about care tasks, gives plain-language guidance, and points them to respite and support services. Carers who are struggling are flagged to the care team, so help can be arranged early. It does this through information gathering, counselling, patient education, triage.

Does TESSA diagnose the patient?

No, TESSA never gives a patient a diagnosis. It collects and collates the information the patient provides, asks probing questions and performs risk assessment; a clinician reviews the summary and decides, and no diagnosis, summary or management plan reaches the patient until the clinician signs.

What happens if the patient mentions a warning sign?

Warning or worrying signs that require immediate attention or action go straight to the care team without alarming the patient. For time-critical presentations, TESSA supports the clinician only and is not currently intended for patient use.

How is patient information protected?

The patient surface runs on session codes, not names, and each institution's data is kept apart with a full audit trail. Our own Anonesia by TINYHealth is a proprietary software and code that removes PIIs, e.g. names, ID numbers and contact details from text before it reaches an AI model.

How do we start with this use case?

Each new use case is built and validated with clinical teams, on your own pathways and guidance. Book a meeting with us to start.