Use cases · Home follow-up · Specialist clinic
Starting CPAP therapy
Many patients give up on CPAP in the first few weeks because of mask discomfort, leaks, dryness or trouble sleeping with it. TESSA checks in during those early weeks on mask fit, comfort, side effects and hours of use, offers practical fixes, and shows the sleep team who's struggling, so they can step in before the patient stops.
At a glance
- Does
- Information gathering, Counselling, Patient education, Summarisation
- Setting
- Home follow-up, Specialist clinic
- Specialty
- Sleep medicine, Respiratory medicine
- Who
- Patient-facing
Also searched as
CPAP adherence · CPAP mask problems · starting CPAP · sleep apnoea / apnea treatment
Questions
What does TESSA do in starting CPAP therapy?
Many patients give up on CPAP in the first few weeks because of mask discomfort, leaks, dryness or trouble sleeping with it. TESSA checks in during those early weeks on mask fit, comfort, side effects and hours of use, offers practical fixes, and shows the sleep team who's struggling, so they can step in before the patient stops. It does this through information gathering, counselling, patient education, 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.
