protocolSection identificationModule nctId: NCT06384950, orgStudyIdInfo id: 2023-11-005A, briefTitle: Evaluating the Role of ChatGPT in Educating Patients With Early-stage Hepatocellular Carcinoma, statusModule overallStatus: RECRUITING, startDateStruct date: 2024-03-22, primaryCompletionDateStruct date: 2024-11-29, completionDateStruct date: 2025-03-21, studyFirstPostDateStruct date: 2024-04-25, lastUpdatePostDateStruct date: 2024-04-25, sponsorCollaboratorsModule leadSponsor name: Taipei Veterans General Hospital, Taiwan, class: OTHER_GOV, descriptionModule briefSummary: Liver cancer is a leading cause of cancer-related deaths in Taiwan, with its onset linked to factors like chronic liver conditions, cirrhosis, and genetic predispositions. According to the "Barcelona Clinic Liver Cancer (BCLC)" classification, early-stage liver cancer is demarcated by stages 0 to A. Upon such diagnosis, both patients and their families often have numerous questions and concerns, ranging from treatment choices to long-term outcomes. The research proposes a GPT-3.5-based chatbot to assist these patients by providing timely, personalized information, aiming to enrich their understanding of the disease and improve communication between patients and health professionals.The research methodology employs a Randomized Controlled Trial (RCT) design, dividing participants into a control cohort receiving standard patient education routine and an experimental cohort receiving both the AI chatbot and traditional education routine. The comparative analysis of these cohorts will determine the effectiveness of the AI intervention in improving patients' health literacy and satisfaction., conditionsModule conditions: Carcinoma, Hepatocellular, designModule studyType: INTERVENTIONAL, phases: NA, designInfo allocation: RANDOMIZED, interventionModel: PARALLEL, interventionModelDescription: To compare the educational effectiveness of a chatbot integrated with health education information to traditional health education methods. This comparison encompassed aspects such as the patient's health literacy and clinical satisfaction. Based on the findings, recommendations and improvements would be proposed to promote the application and development of large language models in the medical field., primaryPurpose: HEALTH_SERVICES_RESEARCH, maskingInfo masking: SINGLE, maskingDescription: The research uses a Randomized Controlled Trial (RCT) methodology, dividing patients into a control group undergoing the conventional patient education routine, and an experimental group that leverages both the chatbot and traditional education. By comparing selected outcomes between the two groups, the experiment's effectiveness will be determined., whoMasked: PARTICIPANT, enrollmentInfo count: 450, type: ESTIMATED, armsInterventionsModule interventions name: ChatGPT, interventions name: patient education with traditional methods., outcomesModule primaryOutcomes measure: Health literacy score of patients, primaryOutcomes measure: Satisfaction score with medical care, secondaryOutcomes measure: Degree of patient anxiety, eligibilityModule sex: ALL, minimumAge: 18 Years, stdAges: ADULT, stdAges: OLDER_ADULT, contactsLocationsModule locations facility: Taipei Veterans General Hospital, status: RECRUITING, city: Taipei, state: Beitou District, zip: 11217, country: Taiwan, contacts name: Chun-Ying Wu, role: CONTACT, phone: +886-28712121, phoneExt: 4190, email: chptaiwan07@gmail.com, contacts name: HSIAO-PING CHEN, role: CONTACT, phone: +886-28712121, phoneExt: 4190, email: chptaiwan07@gmail.com, geoPoint lat: 25.04776, lon: 121.53185, hasResults: False