Use cases · Home follow-up · Specialist clinic
Infection treatment follow-up
Long courses of antibiotics, TB treatment or antivirals take weeks to months, and missed doses or side effects can go unnoticed between visits. TESSA checks in on doses taken, side effects and whether symptoms are improving, and for patients on IV antibiotics at home, on the line site. This lets the infectious disease team see who may need an earlier review. Patients with a high fever, rash or breathing difficulty are told to seek urgent care.
At a glance
- Does
- Information gathering, Counselling, Summarisation
- Setting
- Home follow-up, Specialist clinic
- Specialty
- Infectious disease
- Who
- Patient-facing
Also searched as
antibiotic course follow-up · OPAT · TB treatment adherence · antiviral treatment adherence
Questions
What does TESSA do in infection treatment follow-up?
Long courses of antibiotics, TB treatment or antivirals take weeks to months, and missed doses or side effects can go unnoticed between visits. TESSA checks in on doses taken, side effects and whether symptoms are improving, and for patients on IV antibiotics at home, on the line site. This lets the infectious disease team see who may need an earlier review. Patients with a high fever, rash or breathing difficulty are told to seek urgent care. It does this through information gathering, counselling, 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.
