[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100590793":3},{"organization":4,"armGroups":7,"interventions":13,"overallOfficials":16,"centralContacts":17,"locations":24,"responsibleParty":40,"collaborators":16,"id":42,"slug":43,"hasResults":44,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":16,"eligibilityCriteria":48,"healthyVolunteers":49,"sex":50,"minAge":51,"maxAge":16,"enrollmentInfo":52,"targetDuration":16,"studyType":55,"phases":56,"briefSummary":58,"conditions":59,"keywords":64,"overallStatus":26,"whyStopped":16,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":70,"completionDateStruct":72,"leadSponsor":74,"locationsCount":75},{"fullName":5,"class":6},"National Taiwan University Hospital","OTHER",[8],{"label":9,"type":6,"description":10,"interventionNames":11},"Intervention Group","The functions performed by the robot include guiding patients through unit-specific locations for environmental orientation and equipment usage instructions, playing educational videos related to care, reminding patients of important examination precautions, providing health education on specimen collection, and delivering responses through an expert-developed medical Q\\&A system.",[12],"Other: Intervention Group",[14],{"type":6,"name":9,"description":10,"armGroupLabels":15,"otherNames":16},[9],null,[18],{"name":19,"role":20,"phone":21,"phoneExt":22,"email":23},"Yun-Hsiang Lee Associate Professor, PhD","CONTACT","+886 978082338","288424","yhlee338@ntu.edu.tw",[25],{"facility":5,"status":26,"city":27,"state":28,"zip":29,"country":28,"countryCode":30,"cosmosGeoPoint":31,"geoPoint":36,"contacts":37},"RECRUITING","Taipei","Taiwan","802","TW",{"type":32,"coordinates":33},"Point",[34,35],121.52639,25.05306,{"lat":35,"lon":34},[38],{"name":39,"role":20,"phone":21,"phoneExt":16,"email":23},"Yun Hsiang Lee Associate Professor, PhD",{"type":41,"investigatorFullName":16,"investigatorTitle":16,"investigatorAffiliation":16,"oldNameTitle":16,"oldOrganization":16},"SPONSOR","100590793","ai-assisted-smart-interactive-healthcare-robot-100590793",false,"NCT06972043","AI-Assisted Smart Interactive Healthcare Robot","Development and Testing of an AI-Assisted Smart Interactive Healthcare Robot Program","1. Nurse\n\n   Inclusion Criteria:\n   * Aged 18 years or older.\n   * Currently employed as a ward nurse.\n\n   Exclusion Criteria:\n   * Nurses who do not actively participate in ward care, such as nursing unit supervisors.\n2. Patients\u002FCaregivers\n\nInclusion Criteria:\n\n* Aged 18 years or older.\n* Willing to accept the \"E-Nursing Assistant\" intervention for care tasks that do not involve patient safety.\n\nExclusion Criteria:\n\n* Patients or caregivers who are unconscious or unable to communicate verbally or in writing to complete the research interview.",true,"ALL","18 Years",{"count":53,"type":54},160,"ESTIMATED","INTERVENTIONAL",[57],"NA","To address workforce shortages and increasing workloads in nursing, technological solutions and AI-powered robots for ward navigation have been introduced. However, limitations remain in their application to clinical care. This study aims to develop and test a programming framework for an AI-assisted nursing care robot (\"E-Nursing Assistant\") to reduce nurses' workload and improve the efficiency and quality of care.",[60,61,62,63],"Nursing","Artificial Intelligence (AI)","Deep Learning","Mechine Learning",[60,61,65],"Medical Science and Technology","2025-05-06",{"date":68,"type":69},"2025-05-14","ACTUAL",{"date":71,"type":69},"2025-04-30",{"date":73,"type":54},"2026-03-27",{"name":5,"class":6},1]