Use cases · Home follow-up · Community care · Nursing home
Palliative symptom check-ins at home
Patients receiving palliative care at home can see symptoms worsen between visits, and families often aren't sure when to call. TESSA checks in regularly with the patient or carer about pain, breathlessness, nausea, sleep, mood and how they're coping, and shows the palliative team who may need an earlier visit or a change in medicines. Families are told when to call the team's urgent line straight away.
At a glance
- Does
- Information gathering, Triage, Summarisation
- Setting
- Home follow-up, Community care, Nursing home
- Specialty
- Palliative care
- Who
- Patient-facing
Also searched as
home palliative care · palliative symptom monitoring · end of life care at home
Questions
What does TESSA do in palliative symptom check-ins at home?
Patients receiving palliative care at home can see symptoms worsen between visits, and families often aren't sure when to call. TESSA checks in regularly with the patient or carer about pain, breathlessness, nausea, sleep, mood and how they're coping, and shows the palliative team who may need an earlier visit or a change in medicines. Families are told when to call the team's urgent line straight away. It does this through information gathering, triage, summarisation.
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.
