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TESSA

Use cases · Specialist clinic

Ear, nose and throat history

ENT clinics see many hearing, ear, sinus and throat complaints, and each needs the same detailed questions. Before the visit, TESSA asks about hearing loss, ringing in the ears, dizziness, blocked nose, snoring, hoarseness and swallowing, and flags warning signs such as a voice that's been hoarse for weeks, a neck lump or sudden hearing loss, so the ENT doctor starts with a summary and the right tests in mind.

Illustration. Not a real patient.

At a glance

Does
Information gathering, Summarisation
Setting
Specialist clinic
Specialty
ENT
Who
Patient-facing

Also searched as

ENT / ear nose and throat clinic · hearing loss assessment · sinus problems

Questions

What does TESSA do in ear, nose and throat history?

ENT clinics see many hearing, ear, sinus and throat complaints, and each needs the same detailed questions. Before the visit, TESSA asks about hearing loss, ringing in the ears, dizziness, blocked nose, snoring, hoarseness and swallowing, and flags warning signs such as a voice that's been hoarse for weeks, a neck lump or sudden hearing loss, so the ENT doctor starts with a summary and the right tests in mind. It does this through information gathering, 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.