Apply to trial NCT07330323

CARES : Customized Aftercare Report for Evaluated Skin Cancer Patients

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.