[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100649942":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":24,"centralContacts":27,"locations":33,"responsibleParty":46,"collaborators":50,"id":56,"slug":57,"hasResults":58,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":24,"eligibilityCriteria":62,"healthyVolunteers":63,"sex":64,"minAge":65,"maxAge":24,"enrollmentInfo":66,"targetDuration":24,"studyType":69,"phases":70,"briefSummary":72,"conditions":73,"keywords":76,"overallStatus":81,"whyStopped":24,"lastUpdateSubmitDate":82,"lastUpdatePostDateStruct":83,"startDateStruct":86,"completionDateStruct":88,"leadSponsor":90,"locationsCount":91},{"fullName":5,"class":6},"University of Turku","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Early-Treated","EXPERIMENTAL","Nurses adopting AI clinical documentation tool (treatment)",[13],"Device: AI clinical documentation tool",{"label":15,"type":10,"description":16,"interventionNames":17},"Later-Treated","Nurses that have not yet adopted AI clinical documentation tool (control)",[13],[19,25],{"type":20,"name":21,"description":22,"armGroupLabels":23,"otherNames":24},"DEVICE","AI clinical documentation tool","AI clinical documentation tool is adopted starting at different assigned time points by eight subgroups. Early vs later adopters are compared using staggered difference-in-differences design. The order of subgroups is randomized for 7\u002F8 subgroups.",[9],null,{"type":20,"name":21,"description":22,"armGroupLabels":26,"otherNames":24},[15],[28],{"name":29,"role":30,"phone":31,"phoneExt":24,"email":32},"Laura Jernström, PhD","CONTACT","+358413629767","laura.jernstrom@utu.fi",[34],{"facility":5,"status":24,"city":35,"state":24,"zip":24,"country":36,"countryCode":37,"cosmosGeoPoint":38,"geoPoint":43,"contacts":44},"Turku","Finland","FI",{"type":39,"coordinates":40},"Point",[41,42],22.26869,60.45148,{"lat":42,"lon":41},[45],{"name":29,"role":30,"phone":31,"phoneExt":24,"email":32},{"type":47,"investigatorFullName":48,"investigatorTitle":49,"investigatorAffiliation":5,"oldNameTitle":24,"oldOrganization":24},"PRINCIPAL_INVESTIGATOR","Laura Jernström","Principal Investigator",[51,53],{"name":52,"class":6},"University of Helsinki",{"name":54,"class":55},"Helsinki University Hospital, Finland","UNKNOWN","100649942","effectiveness-of-ai-assisted-clinical-documentation-100649942",false,"NCT07742618","Effectiveness of AI-Assisted Clinical Documentation","Effectiveness of AI-Assisted Clinical Documentation: Evidence From a Staggered Rollout at the Western Uusimaa Wellbeing Services County","Inclusion Criteria:\n\n* Member of study population: nurses working at wellchild or student health care services of Western-Uusimaa Wellbeing Services County.\n\nExclusion Criteria:\n\n* Nurse works in several teams.\n* Under 18 years.",true,"ALL","18 Years",{"count":67,"type":68},400,"ESTIMATED","INTERVENTIONAL",[71],"NA","Effectiveness of AI-assisted clinical documentation tool (AI scribes) in healthcare services using staggered difference-in-differences and multiple sources of data including registers, questionnaires and interviews. Primary outcomes include completion of statutory health check-ups, working hours, time use of nurses, secondary outcomes include subjective nurse job satisfaction, job burden and perceived quality of work and time use.",[74,75],"Effectiveness of AI-assisted Clinical Documentation Tool","Healthy",[77,78,79,80],"AI Scribes","Clinical Notes","Nurse Time Use","AI Clinical Documentation Tools","NOT_YET_RECRUITING","2026-07-28",{"date":84,"type":85},"2026-08-03","ACTUAL",{"date":87,"type":68},"2026-09-01",{"date":89,"type":68},"2027-12-31",{"name":5,"class":6},1]