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TESSA

Use cases · Nursing home · Hospital ward · Home follow-up

Falls risk screening

Falls often follow warning signs nobody pulled together. Older adults, or a caregiver on their behalf, answer the falls risk questions on admission to a nursing home or ward, or at home, and again at regular intervals. The team gets each person's risk factors and who needs a medicine review, physiotherapy or home changes.

Illustration. Not a real patient.

At a glance

Does
Information gathering, Summarisation
Setting
Nursing home, Hospital ward, Home follow-up
Specialty
Geriatrics
Who
Patient-facing

Also searched as

falls prevention · falls risk assessment · fall prevention in care homes

Questions

What does TESSA do in falls risk screening?

Falls often follow warning signs nobody pulled together. Older adults, or a caregiver on their behalf, answer the falls risk questions on admission to a nursing home or ward, or at home, and again at regular intervals. The team gets each person's risk factors and who needs a medicine review, physiotherapy or home changes. 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.