Use cases · Specialist clinic · Home follow-up
Sleep study preparation
Sleep studies are often wasted or repeated when patients turn up unprepared, unsure what happens overnight, or anxious about sleeping with sensors on. Before the study, TESSA explains what to expect, whether it's in the lab or at home, and advises on caffeine, alcohol, naps, usual medicines and washing hair without products. It also asks patients to keep a short sleep diary, so the sleep team has a reliable night to read.

At a glance
- Does
- Patient education, Information gathering
- Setting
- Specialist clinic, Home follow-up
- Specialty
- Sleep medicine, Respiratory medicine, ENT
- Who
- Patient-facing
Also searched as
sleep study preparation · polysomnography (PSG) · home sleep test · sleep diary
Questions
What does TESSA do in sleep study preparation?
Sleep studies are often wasted or repeated when patients turn up unprepared, unsure what happens overnight, or anxious about sleeping with sensors on. Before the study, TESSA explains what to expect, whether it's in the lab or at home, and advises on caffeine, alcohol, naps, usual medicines and washing hair without products. It also asks patients to keep a short sleep diary, so the sleep team has a reliable night to read. It does this through patient education, information gathering.
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.

