Use cases · Home follow-up
Cancer treatment support and side effects
Between chemotherapy cycles, side effects can go unreported until they become serious. TESSA explains what to expect from each cycle, checks in on nausea, mouth sores, diarrhoea, fatigue and mood, and sends concerns to the oncology team so they can see who needs a call. If a patient reports fever or another emergency sign, TESSA tells them to call the cancer hotline or go to the emergency department straight away.
At a glance
- Does
- Patient education, Information gathering, Triage, Summarisation
- Setting
- Home follow-up
- Specialty
- Oncology
- Who
- Patient-facing
Also searched as
cancer patient support · chemotherapy side effects · oncology symptom monitoring · chemo fever warning signs
Questions
What does TESSA do in cancer treatment support and side effects?
Between chemotherapy cycles, side effects can go unreported until they become serious. TESSA explains what to expect from each cycle, checks in on nausea, mouth sores, diarrhoea, fatigue and mood, and sends concerns to the oncology team so they can see who needs a call. If a patient reports fever or another emergency sign, TESSA tells them to call the cancer hotline or go to the emergency department straight away. It does this through patient education, 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.
