[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100628023":3},{"organization":4,"armGroups":7,"interventions":22,"overallOfficials":28,"centralContacts":34,"locations":41,"responsibleParty":56,"collaborators":27,"id":58,"slug":59,"hasResults":60,"nctId":61,"briefTitle":62,"officialTitle":63,"acronym":27,"eligibilityCriteria":64,"healthyVolunteers":65,"sex":66,"minAge":67,"maxAge":27,"enrollmentInfo":68,"targetDuration":27,"studyType":71,"phases":72,"briefSummary":74,"conditions":75,"keywords":77,"overallStatus":44,"whyStopped":27,"lastUpdateSubmitDate":83,"lastUpdatePostDateStruct":84,"startDateStruct":87,"completionDateStruct":89,"leadSponsor":91,"locationsCount":92},{"fullName":5,"class":6},"University of Wisconsin, Madison","OTHER",[8,14,18],{"label":9,"type":10,"description":11,"interventionNames":12},"Ambient Listening Group 1","EXPERIMENTAL","The hospital unit will be randomized and all nursing staff within the unit will have access to start using Ambient AI at week 8.",[13],"Other: Artificial Intelligence",{"label":15,"type":10,"description":16,"interventionNames":17},"Ambient Listening Group 2","The hospital unit will be randomized and all nursing staff within the unit will have access to start using Ambient AI at week 11.",[13],{"label":19,"type":10,"description":20,"interventionNames":21},"Ambient Listening Group 3","The hospital unit will be randomized and all nursing staff within the unit will have access to start using Ambient AI at week 14.",[13],[23],{"type":6,"name":24,"description":25,"armGroupLabels":26,"otherNames":27},"Artificial Intelligence","Ambient AI software intervention is implemented into the nursing staff workflow. The software incorporates Automated Speech Recognition technology with Large Language Models to generate clinical documentation in real-time",[9,15,19],null,[29,32],{"name":30,"affiliation":5,"role":31},"Ann Wieben, PhD, RN","PRINCIPAL_INVESTIGATOR",{"name":33,"affiliation":5,"role":31},"Jann Pfaff, PhD, RN",[35,39],{"name":30,"role":36,"phone":37,"phoneExt":27,"email":38},"CONTACT","6082651029","wieben@wisc.edu",{"name":33,"role":36,"phone":27,"phoneExt":27,"email":40},"jpfaff2@uwhealth.org",[42],{"facility":43,"status":44,"city":45,"state":46,"zip":47,"country":48,"countryCode":49,"cosmosGeoPoint":50,"geoPoint":55,"contacts":27},"UW Health - East Madison Hospital","RECRUITING","Madison","Wisconsin","53718","United States","US",{"type":51,"coordinates":52},"Point",[53,54],-89.40123,43.07305,{"lat":54,"lon":53},{"type":57,"investigatorFullName":27,"investigatorTitle":27,"investigatorAffiliation":27,"oldNameTitle":27,"oldOrganization":27},"SPONSOR","100628023","ambient-ai-for-reducing-nursing-staff-documentation-time-100628023",false,"NCT07456241","Ambient AI for Reducing Nursing Staff Documentation Time","An EHR-Embedded Pragmatic Stepped-Wedge Clinical Trial of Ambient Artificial Intelligence to Reduce Nursing Staff Documentation Time","Inclusion Criteria:\n\n* Willingness to engage and use ambient technology\n* English speaking\n* All Registered Nurses and Nursing Assistants with the study inpatient units\n* Attest to completing all required training\n\nExclusion Criteria:\n\n* Planned leave more than 6 weeks during study timeframe",true,"ALL","18 Years",{"count":69,"type":70},250,"ESTIMATED","INTERVENTIONAL",[73],"NA","The goal of this clinical trial is to learn whether using Ambient Artificial Intelligence for nursing staff documentation in an inpatient setting will reduce the time spent in flowsheet documentation and enhance nurse staffing wellbeing.\n\nParticipants will use Ambient Listening AI software to draft documentation in discrete fields.",[76],"Nursing Documentation Burden",[24,78,79,80,81,82],"Ambient Listening","Nursing","Nursing Staff","Documentation Burden","Nursing Staff Well Being","2026-05-27",{"date":85,"type":86},"2026-06-01","ACTUAL",{"date":88,"type":86},"2026-05-05",{"date":90,"type":70},"2026-12",{"name":5,"class":6},1]