Use cases · Home follow-up
Recovery after joint surgery
After a hip or knee replacement, patients go weeks between clinic visits, and the team has little view of how recovery is going. While patients recover at home, TESSA checks in between visits, asking about pain, stiffness, walking, exercises done and warning signs such as wound problems or calf swelling, using standard scores like the Oxford Hip and Knee Scores, so the team can track progress and see who may need an earlier review.
At a glance
- Does
- Information gathering, Summarisation
- Setting
- Home follow-up
- Specialty
- Orthopaedics
- Who
- Patient-facing
Also searched as
knee / hip replacement recovery · joint replacement rehabilitation · orthopaedic / orthopedic follow-up
Questions
What does TESSA do in recovery after joint surgery?
After a hip or knee replacement, patients go weeks between clinic visits, and the team has little view of how recovery is going. While patients recover at home, TESSA checks in between visits, asking about pain, stiffness, walking, exercises done and warning signs such as wound problems or calf swelling, using standard scores like the Oxford Hip and Knee Scores, so the team can track progress and see who may need an earlier review. 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.
