Current clinical practices often provide general verbal advice to low-risk patients, which may not sufficiently address individual concerns or offer actionable steps. Generic information on the internet can be overwhelming or unreliable, leading to confusion and unnecessary follow-up visits. This project introduces a tailored approach by combining evidence-based guidelines with personalized details about the patient's risk profile. The discharge letter bridges the gap between clinical expertise and patient understanding, offering clear, specific, and actionable advice that has been shown to improve health behaviors and outcomes in other contexts . The personalized discharge letters are generated using an AI agent trained on validated letters from the hospital's electronic health record system (KWS). Each letter is reviewed and approved by a physician before being provided to the patient, ensuring both accuracy and clinical relevance.
Age range
18 Years – 80 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Level of Reassurance Immediately Post-Consultation
Timeframe: Through study completion, an average of 1 year
Knowledge of Personal Skin Cancer Risk
Timeframe: Through study completion, an average of 1 year
Confidence in Performing Self-Skin Checks
Timeframe: Through study completion, an average of 1 year