[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100645998":3},{"organization":4,"outcomesModule":7,"designInfo":24,"detailedDescription":27,"studyPopulation":27,"armGroups":31,"interventions":37,"overallOfficials":43,"centralContacts":48,"locations":53,"responsibleParty":70,"collaborators":72,"id":74,"slug":75,"hasResults":76,"nctId":77,"briefTitle":78,"officialTitle":78,"acronym":79,"eligibilityCriteria":80,"healthyVolunteers":76,"sex":81,"minAge":82,"maxAge":27,"enrollmentInfo":83,"targetDuration":27,"studyType":86,"phases":87,"briefSummary":88,"conditions":89,"keywords":27,"overallStatus":91,"whyStopped":27,"lastUpdateSubmitDate":92,"lastUpdatePostDateStruct":93,"startDateStruct":96,"completionDateStruct":98,"leadSponsor":100,"locationsCount":101},{"fullName":5,"class":6},"University of Utah","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":17},[9],{"measure":10,"description":11,"timeFrame":12},"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",[14],{"measure":15,"description":16,"timeFrame":12},"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.",[18,21],{"measure":19,"description":20,"timeFrame":12},"Change in PROMIS Anxiety","To assess preliminary patient-level effects of the interactive AI-SCP and chatbot. This outcome measure will report mean change in PROMIS Anxiety T-scores.\n\nPROMIS Anxiety 4a - Adult v1.0 Scores range from 40.3 to 81.6, with lower scores indicating less anxiety and higher scores indicating more anxiety.",{"measure":22,"description":23,"timeFrame":12},"Change in Cancer Worry Scale","To assess preliminary patient-level effects of the interactive AI-SCP and chatbot. The Cancer Worry Scale (CWS) uses a 4-point Likert scale to measure cancer-related worry. This outcome measure will report the mean change in CWS score.\n\nCWS scores range from 8 to 32, with lower scores indicating less worry and higher scores indicating greater worry.",{"allocation":25,"interventionModel":26,"interventionModelDescription":27,"primaryPurpose":28,"observationalModel":27,"timePerspective":27,"maskingInfo":29},"NA","SINGLE_GROUP",null,"HEALTH_SERVICES_RESEARCH",{"masking":30,"maskingDescription":27,"whoMasked":27},"NONE",[32],{"label":33,"type":6,"description":34,"interventionNames":35},"SCP Chatbot","Participants will receive an AI-SCP and access to the SCP chatbot from an oncologist for 7 days .",[36],"Other: SCP Chatbot",[38],{"type":6,"name":33,"description":39,"armGroupLabels":40,"otherNames":41},"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",[33],[42],"GARDE-Chat",[44],{"name":45,"affiliation":46,"role":47},"Echo Warner, MPH, PhD, SB","Huntsman Cancer Institute","PRINCIPAL_INVESTIGATOR",[49],{"name":45,"role":50,"phone":51,"phoneExt":27,"email":52},"CONTACT","801-244-7040","echo.warner@hci.utah.edu",[54],{"facility":5,"status":27,"city":55,"state":56,"zip":57,"country":58,"countryCode":59,"cosmosGeoPoint":60,"geoPoint":65,"contacts":66},"Salt Lake City","Utah","84112","United States","US",{"type":61,"coordinates":62},"Point",[63,64],-111.89105,40.76078,{"lat":64,"lon":63},[67,69],{"name":45,"role":50,"phone":51,"phoneExt":27,"email":68},"u0600488@umail.utah.edu",{"name":45,"role":47,"phone":27,"phoneExt":27,"email":27},{"type":71,"investigatorFullName":27,"investigatorTitle":27,"investigatorAffiliation":27,"oldNameTitle":27,"oldOrganization":27},"SPONSOR",[73],{"name":46,"class":6},"100645998","ai-driven-survivorship-care-plans-ai-scp-100645998",false,"NCT07700199","AI-Driven Survivorship Care Plans (AI-SCP)","AI-SCP","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","ALL","18 Years",{"count":84,"type":85},50,"ESTIMATED","INTERVENTIONAL",[25],"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.",[90],"Cancer","NOT_YET_RECRUITING","2026-09-30",{"date":94,"type":95},"2026-10-02","ACTUAL",{"date":97,"type":85},"2026-11",{"date":99,"type":85},"2027-08",{"name":5,"class":6},1]