[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100601297":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":29,"locations":38,"responsibleParty":253,"collaborators":255,"id":258,"slug":259,"hasResults":260,"nctId":261,"briefTitle":262,"officialTitle":263,"acronym":264,"eligibilityCriteria":265,"healthyVolunteers":260,"sex":266,"minAge":267,"maxAge":18,"enrollmentInfo":268,"targetDuration":18,"studyType":271,"phases":272,"briefSummary":274,"conditions":275,"keywords":277,"overallStatus":41,"whyStopped":18,"lastUpdateSubmitDate":286,"lastUpdatePostDateStruct":287,"startDateStruct":290,"completionDateStruct":292,"leadSponsor":294,"locationsCount":295},{"fullName":5,"class":6},"Swedish Medical Center","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Hospitals receiving \"EARLY\" access to the prediction model.","EXPERIMENTAL","During the study period, the \"EARLY\" hospitals receive access to the Possible CLABSI ML model.",[13],"Behavioral: Infection Preventionist Led Best Practices Reminders",{"label":15,"type":16,"description":17,"interventionNames":18},"Hospitals receiving \"LATE\" access to the prediction model.","NO_INTERVENTION","During the comparison period, the \"LATE\" hospitals do not receive access to the Possible CLABSI ML model.",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"BEHAVIORAL","Infection Preventionist Led Best Practices Reminders","Infection preventionists at each study hospital review a dashboard on a daily basis that contains predictions for the infection preventionist's hospital. If a patient is predicted to have a possible CLABSI by the ML model, the infection preventionist reviews the case and recommends next steps to the care team based on Providence's CLABSI prevention best-practices bundle, which include reviewing the line for necessity and recommending alternate IV access when appropriate. If line-removal isn't possible, the infection preventionist collaborates with the direct care team to ensure that the line maintenance best practices are observed, including maintaining a clean, dry and intact dressing and using daily chlorhexidine baths.",[9],[26],{"name":27,"affiliation":5,"role":28},"Chris Dale, MD, MPH","PRINCIPAL_INVESTIGATOR",[30,34],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},"CONTACT","425-747-5822","christopher.dale@swedish.org",{"name":35,"role":31,"phone":36,"phoneExt":18,"email":37},"Evan Sylvester, MPH","425-681-6961","evan.sylvester@providence.org",[39,55,67,78,89,100,111,122,133,144,155,167,179,191,202,213,224,235,242],{"facility":40,"status":41,"city":42,"state":43,"zip":44,"country":45,"countryCode":46,"cosmosGeoPoint":47,"geoPoint":52,"contacts":53},"Providence Alaska Medical Center","RECRUITING","Anchorage","Alaska","99508","United States","US",{"type":48,"coordinates":49},"Point",[50,51],-149.90028,61.21806,{"lat":51,"lon":50},[54],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":56,"status":41,"city":57,"state":58,"zip":59,"country":45,"countryCode":46,"cosmosGeoPoint":60,"geoPoint":64,"contacts":65},"St. Mary Medical Center","Apple Valley","California","92307",{"type":48,"coordinates":61},[62,63],-117.18588,34.50083,{"lat":63,"lon":62},[66],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":68,"status":41,"city":69,"state":58,"zip":70,"country":45,"countryCode":46,"cosmosGeoPoint":71,"geoPoint":75,"contacts":76},"Providence Saint Joseph Medical Center","Burbank","91505",{"type":48,"coordinates":72},[73,74],-118.30897,34.18084,{"lat":74,"lon":73},[77],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":79,"status":41,"city":80,"state":58,"zip":81,"country":45,"countryCode":46,"cosmosGeoPoint":82,"geoPoint":86,"contacts":87},"St. Jude Medical Center","Fullerton","92835",{"type":48,"coordinates":83},[84,85],-117.92534,33.87029,{"lat":85,"lon":84},[88],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":90,"status":41,"city":91,"state":58,"zip":92,"country":45,"countryCode":46,"cosmosGeoPoint":93,"geoPoint":97,"contacts":98},"Providence Holy Cross Medical Center","Mission Hills","91345",{"type":48,"coordinates":94},[95,96],-120.43683,34.68609,{"lat":96,"lon":95},[99],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":101,"status":41,"city":102,"state":58,"zip":103,"country":45,"countryCode":46,"cosmosGeoPoint":104,"geoPoint":108,"contacts":109},"Mission Hospital","Mission Viejo","92691",{"type":48,"coordinates":105},[106,107],-117.672,33.60002,{"lat":107,"lon":106},[110],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":112,"status":41,"city":113,"state":58,"zip":114,"country":45,"countryCode":46,"cosmosGeoPoint":115,"geoPoint":119,"contacts":120},"Queen of the Valley Medical Center","Napa","94558",{"type":48,"coordinates":116},[117,118],-122.28553,38.29714,{"lat":118,"lon":117},[121],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":123,"status":41,"city":124,"state":58,"zip":125,"country":45,"countryCode":46,"cosmosGeoPoint":126,"geoPoint":130,"contacts":131},"St. Joseph Hospital","Orange","92868",{"type":48,"coordinates":127},[128,129],-117.85311,33.78779,{"lat":129,"lon":128},[132],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":134,"status":41,"city":135,"state":58,"zip":136,"country":45,"countryCode":46,"cosmosGeoPoint":137,"geoPoint":141,"contacts":142},"Santa Rosa Memorial Hospital","Santa Rosa","95405",{"type":48,"coordinates":138},[139,140],-122.71443,38.44047,{"lat":140,"lon":139},[143],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":145,"status":41,"city":146,"state":58,"zip":147,"country":45,"countryCode":46,"cosmosGeoPoint":148,"geoPoint":152,"contacts":153},"Providence Cedars-Sinai Tarzana Medical Center","Tarzana","91356",{"type":48,"coordinates":149},[150,151],-118.55397,34.17334,{"lat":151,"lon":150},[154],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":156,"status":41,"city":157,"state":158,"zip":159,"country":45,"countryCode":46,"cosmosGeoPoint":160,"geoPoint":164,"contacts":165},"Providence St. Vincent Medical Center","Portland","Oregon","97225",{"type":48,"coordinates":161},[162,163],-122.67621,45.52345,{"lat":163,"lon":162},[166],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":168,"status":41,"city":169,"state":170,"zip":171,"country":45,"countryCode":46,"cosmosGeoPoint":172,"geoPoint":176,"contacts":177},"Covenant Medical Center","Lubbock","Texas","79416",{"type":48,"coordinates":173},[174,175],-101.85517,33.57786,{"lat":175,"lon":174},[178],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":180,"status":41,"city":181,"state":182,"zip":183,"country":45,"countryCode":46,"cosmosGeoPoint":184,"geoPoint":188,"contacts":189},"Swedish Medical Center Edmonds","Edmonds","Washington","98026",{"type":48,"coordinates":185},[186,187],-122.37736,47.81065,{"lat":187,"lon":186},[190],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":192,"status":41,"city":193,"state":182,"zip":194,"country":45,"countryCode":46,"cosmosGeoPoint":195,"geoPoint":199,"contacts":200},"Providence Regional Medical Center Everett","Everett","98201",{"type":48,"coordinates":196},[197,198],-122.20208,47.97898,{"lat":198,"lon":197},[201],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":203,"status":41,"city":204,"state":182,"zip":205,"country":45,"countryCode":46,"cosmosGeoPoint":206,"geoPoint":210,"contacts":211},"Providence St. Peter Hospital","Olympia","98506",{"type":48,"coordinates":207},[208,209],-122.90169,47.04491,{"lat":209,"lon":208},[212],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":214,"status":41,"city":215,"state":182,"zip":216,"country":45,"countryCode":46,"cosmosGeoPoint":217,"geoPoint":221,"contacts":222},"Kadlec Regional Medical Center","Richland","99352",{"type":48,"coordinates":218},[219,220],-119.28446,46.28569,{"lat":220,"lon":219},[223],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":225,"status":41,"city":226,"state":182,"zip":227,"country":45,"countryCode":46,"cosmosGeoPoint":228,"geoPoint":232,"contacts":233},"Swedish Medical Center Cherry Hill","Seattle","98122",{"type":48,"coordinates":229},[230,231],-122.33207,47.60621,{"lat":231,"lon":230},[234],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":236,"status":41,"city":226,"state":182,"zip":227,"country":45,"countryCode":46,"cosmosGeoPoint":237,"geoPoint":239,"contacts":240},"Swedish Medical Center First Hill",{"type":48,"coordinates":238},[230,231],{"lat":231,"lon":230},[241],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"facility":243,"status":41,"city":244,"state":182,"zip":245,"country":45,"countryCode":46,"cosmosGeoPoint":246,"geoPoint":250,"contacts":251},"Providence Sacred Heart Medical Center","Spokane","99204",{"type":48,"coordinates":247},[248,249],-117.42908,47.65966,{"lat":249,"lon":248},[252],{"name":27,"role":31,"phone":32,"phoneExt":18,"email":33},{"type":254,"investigatorFullName":18,"investigatorTitle":18,"investigatorAffiliation":18,"oldNameTitle":18,"oldOrganization":18},"SPONSOR",[256],{"name":257,"class":6},"Providence Health & Services","100601297","machine-learning-prediction-of-possible-central-line-associated-blood-stream-infections-and-rate-of-reduction-100601297",false,"NCT07108660","Machine Learning Prediction of Possible Central Line Associated Blood Stream Infections and Rate of Reduction","Prediction and Reduction of Central Line Associated Blood Stream Infections: A Machine Learning Improvement Study","CLABSI AI","Inclusion Criteria:\n\n* The top twenty Providence St. Joseph Health Hospitals by CLABSI burden.\n\nExclusion Criteria:\n\n* Less than 18 years of age","ALL","18 Years",{"count":269,"type":270},17800,"ESTIMATED","INTERVENTIONAL",[273],"NA","Prospective, multi-center, cluster-randomized trial of a hospital Infection Preventionist (IP)-led quality improvement study to provide clinical teams with just-in-time clinical education and reinforcement of existing best practices recommendations based on the output of a possible Central Line Associated Blood Stream Infection (CLABSI) Machine Learning (ML) prediction model.\n\nThe objective is to determine whether providing this model to Infection Preventionists will decrease the CLABSI rates versus routine clinical practice.",[276],"Central Line Associated Blood Stream Infections (CLABSI)",[278,279,280,281,282,283,284,285],"Inpatient","CLABSI","Central Line Associates Blood Stream Infections","Infection Prevention","Artificial Intelligence","Machine Learning","Healthcare Associated Infection","HAI","2025-08-12",{"date":288,"type":289},"2025-08-15","ACTUAL",{"date":291,"type":289},"2025-07-01",{"date":293,"type":270},"2027-12",{"name":5,"class":6},19]