Use cases · Primary care
History in the patient's own language
When patients and clinicians don't share a language, details get lost and interpreters aren't always available. TESSA takes the history in the language the patient is most comfortable with and gives the clinician a summary in theirs, then explains the next steps back to the patient in their own language. For consent and difficult conversations, a human interpreter is still used, in line with TESSA's principle of human oversight.
At a glance
- Does
- Information gathering, Summarisation
- Setting
- Primary care
- Specialty
- GP / Family medicine / Primary care
- Who
- Patient-facing
Also searched as
multilingual patient intake · language barrier in healthcare · medical interpreter alternative
Questions
What does TESSA do in history in the patient's own language?
When patients and clinicians don't share a language, details get lost and interpreters aren't always available. TESSA takes the history in the language the patient is most comfortable with and gives the clinician a summary in theirs, then explains the next steps back to the patient in their own language. For consent and difficult conversations, a human interpreter is still used, in line with TESSA's principle of human oversight. 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.
