Use cases · Specialist clinic · Primary care
Mental health clinic intake
First mental health appointments take a long time to cover the history and standard questionnaires. Before the visit, TESSA takes the history, including mood, sleep, stressors, substance use and past treatment, and standard questionnaires such as the PHQ-9 and GAD-7, so the clinician starts with a summary and spends the time on the person. If someone reports thoughts of harming themselves, TESSA shows crisis contacts straight away and alerts the care team.
At a glance
- Does
- Information gathering, Summarisation
- Setting
- Specialist clinic, Primary care
- Specialty
- Psychiatry
- Who
- Patient-facing
Also searched as
mental health intake · PHQ-9 and GAD-7 · psychiatry / psychology first appointment
Questions
What does TESSA do in mental health clinic intake?
First mental health appointments take a long time to cover the history and standard questionnaires. Before the visit, TESSA takes the history, including mood, sleep, stressors, substance use and past treatment, and standard questionnaires such as the PHQ-9 and GAD-7, so the clinician starts with a summary and spends the time on the person. If someone reports thoughts of harming themselves, TESSA shows crisis contacts straight away and alerts the care team. 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.
