[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"trial:NCT07700199":3,"trial-entities:NCT07700199":84,"trial-summary:NCT07700199":88},{"id":4,"nct_id":4,"org_study_id":5,"brief_title":6,"official_title":6,"overall_status":7,"completion_date":8,"status_verified_date":9,"last_update_date":10,"start_date":11,"sponsor_name":12,"lead_sponsor_class":13,"has_dmc":14,"brief_summary":15,"detailed_description":16,"conditions":17,"keywords":19,"study_type":20,"primary_purpose":21,"phases":22,"enrollment_info":24,"interventions":27,"primary_outcomes":34,"secondary_outcomes":39,"sex":43,"minimum_age":44,"maximum_age":16,"healthy_volunteers":14,"eligibility_criteria":45,"std_ages":56,"locations":59,"central_contacts":76,"overall_officials":79,"references":82,"see_also_links":83},"NCT07700199","HCI201667","AI-Driven Survivorship Care Plans (AI-SCP)","NOT_YET_RECRUITING","2027-08","2026-07","2026-07-13","2026-08-01","University of Utah","OTHER",false,"This project conducts exploratory work on a HIPAA-compliant, large language model (LLM)-based tool that integrates structured and unstructured oncology electronic health record (EHR) data to automate the development of tailored SCPs, paired with a patient-facing chatbot to answer questions about the SCP. Unlike generic AI documentation tools, this system establishes benchmarks for SCP development and embeds user-centered design (UCD) directly into prompt engineering and model governance workflows.",null,[18],"Cancer",[],"INTERVENTIONAL","HEALTH_SERVICES_RESEARCH",[23],"NA",{"count":25,"type":26},50,"ESTIMATED",[28],{"type":13,"name":29,"description":30,"armGroupLabels":31,"otherNames":32},"SCP Chatbot","A secure LLM pipeline with structured and unstructured EHR data to automatically generate Survivorship Care Plans (SCPs) and develop a patient-facing chatbot to support comprehension.\n\nThe SCP chatbot will leverage GARDE-Chat, an NCI-funded open-source chatbot platform",[29],[33],"GARDE-Chat",[35],{"measure":36,"description":37,"timeFrame":38},"Feasibility: Recruitment Retention","Feasibility of the interactive AI-SCP and chatbot. This outcome measure will report the proportion of subjects who were retained from recruitment.","up to 7 days",[40],{"measure":41,"description":42,"timeFrame":38},"Acceptability\u002FUsability: System Usability Scale","Acceptability and usability of the interactive AI-SCP and chatbot. This outcome measure will report the mean System Usability Scale (SUS) score. SUS scores range from 0-100, with higher scores indicating better usability and lower scores indicating worse usability.","ALL","18 Years",{"inclusion":46,"exclusion":51,"raw_text":55},[47,48,49,50],"Adult cancer survivors","Age +18 years,","Speak and understand English","Affiliated with the Huntsman Cancer Institute.",[52,53,54],"Under age 18","Not affiliated with Huntsman Cancer Institute","Unable to speak or understand English","Inclusion Criteria:\n\n* Adult cancer survivors\n* Age +18 years,\n* Speak and understand English\n* Affiliated with the Huntsman Cancer Institute.\n\nExclusion Criteria:\n\n* Under age 18\n* Not affiliated with Huntsman Cancer Institute\n* Unable to speak or understand English",[57,58],"ADULT","OLDER_ADULT",[60],{"facility":12,"city":61,"state":62,"zip":63,"country":64,"contacts":65,"geoPoint":73},"Salt Lake City","Utah","84112","United States",[66,71],{"name":67,"role":68,"phone":69,"email":70},"Echo Warner, MPH, PhD, SB","CONTACT","801-244-7040","u0600488@umail.utah.edu",{"name":67,"role":72},"PRINCIPAL_INVESTIGATOR",{"lat":74,"lon":75},40.76078,-111.89105,[77],{"name":67,"role":68,"phone":69,"email":78},"echo.warner@hci.utah.edu",[80],{"name":67,"affiliation":81,"role":72},"Huntsman Cancer Institute",[],[],{"nct_id":4,"conditions":85,"biomarkers":87},[86],"Malignant Neoplasm",[],{"nct_id":4,"found":89,"summary":90,"prompt_version":100},true,{"design":91,"status":92,"heading":93,"summary":94,"follow_up":95,"word_count":96,"commitments":97,"compensation":98,"drugs_mentioned":99},"This is an interventional study with a planned enrollment of 50 participants. It is exploring the use of an AI-driven chatbot.","completed","AI-Driven Survivorship Care Plans (AI-SCP) for Cancer Survivors","This study is testing a new tool called SCP Chatbot. It uses artificial intelligence (AI) to automatically create Survivorship Care Plans (SCPs) and then provides a chatbot to help you understand your plan. The goal is to see if this tool is practical to use. You might be able to join if you are an adult cancer survivor, 18 years or older, speak English, and are connected with the Huntsman Cancer Institute. The study aims to enroll 50 people and is currently unclear about its recruitment status.","Feasibility, including recruitment retention, will be measured for up to 7 days.",87,"Not specified in the trial record.","Not stated in the trial record.",[29],"v2"]