Use cases · Primary care · Specialist clinic
Paediatric history
Young children can't give their own history, and details like birth history, milestones and past illnesses are hard to recall on the spot. Before the visit, TESSA takes the parent or carer through the child's symptoms, birth history, feeding, growth, development, vaccinations and warning signs, and lets older children answer some questions themselves, so the doctor starts with a summary.
At a glance
- Does
- Information gathering, Summarisation
- Setting
- Primary care, Specialist clinic
- Specialty
- Paediatrics
- Who
- Patient-facing
Also searched as
paediatric / pediatric history · child doctor visit · pediatrician intake form
Questions
What does TESSA do in paediatric history?
Young children can't give their own history, and details like birth history, milestones and past illnesses are hard to recall on the spot. Before the visit, TESSA takes the parent or carer through the child's symptoms, birth history, feeding, growth, development, vaccinations and warning signs, and lets older children answer some questions themselves, so the doctor starts with a summary. 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.
