[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100609686":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":24,"centralContacts":31,"locations":39,"responsibleParty":59,"collaborators":61,"id":66,"slug":67,"hasResults":68,"nctId":69,"briefTitle":70,"officialTitle":70,"acronym":71,"eligibilityCriteria":72,"healthyVolunteers":68,"sex":73,"minAge":74,"maxAge":12,"enrollmentInfo":75,"targetDuration":12,"studyType":78,"phases":79,"briefSummary":81,"conditions":82,"keywords":84,"overallStatus":88,"whyStopped":12,"lastUpdateSubmitDate":89,"lastUpdatePostDateStruct":90,"startDateStruct":93,"completionDateStruct":95,"leadSponsor":97,"locationsCount":98},{"fullName":5,"class":6},"VA Office of Research and Development","FED",[8,13],{"label":9,"type":10,"description":11,"interventionNames":12},"Control (Usual Care)","NO_INTERVENTION","The Control arm will consist of usual care with no additional clinical decision support tool guidance",null,{"label":14,"type":15,"description":16,"interventionNames":17},"PRECISION AKI Clinical Decision Support","EXPERIMENTAL","The Intervention arm will consist of Clinical Decision Diagnostic Support (CDS) provided by the PRECISE-AKI tool",[18],"Other: PRECISE-AKI Clinical Decision Support Tool",[20],{"type":21,"name":22,"description":16,"armGroupLabels":23,"otherNames":12},"OTHER","PRECISE-AKI Clinical Decision Support Tool",[14],[25,29],{"name":26,"affiliation":27,"role":28},"Edward D Siew, MD MSc","Tennessee Valley Healthcare System Nashville Campus, Nashville, TN","PRINCIPAL_INVESTIGATOR",{"name":30,"affiliation":27,"role":28},"Michael E Matheny, MD MS MPH",[32,36],{"name":26,"role":33,"phone":34,"phoneExt":12,"email":35},"CONTACT","(615) 343-1279","Edward.siew@va.gov",{"name":30,"role":33,"phone":37,"phoneExt":12,"email":38},"(615) 936-0090","Michael.Matheny@va.gov",[40],{"facility":27,"status":12,"city":41,"state":42,"zip":43,"country":44,"countryCode":45,"cosmosGeoPoint":46,"geoPoint":51,"contacts":52},"Nashville","Tennessee","37212-2637","United States","US",{"type":47,"coordinates":48},"Point",[49,50],-86.78444,36.16589,{"lat":50,"lon":49},[53,57,58],{"name":54,"role":33,"phone":55,"phoneExt":12,"email":56},"Michele Lenoue-Newton, PhD","(615) 936-6728","michele.lenoue-newton@va.gov",{"name":26,"role":28,"phone":12,"phoneExt":12,"email":12},{"name":30,"role":28,"phone":12,"phoneExt":12,"email":12},{"type":60,"investigatorFullName":12,"investigatorTitle":12,"investigatorAffiliation":12,"oldNameTitle":12,"oldOrganization":12},"SPONSOR",[62,64],{"name":63,"class":6},"VA Tennessee Valley Health Care System",{"name":65,"class":21},"Vanderbilt University Medical Center","100609686","precision-medicine-diagnostic-support-in-hospitalized-veterans-with-acute-kidney-injury-100609686",false,"NCT07217808","Precision-Medicine Diagnostic Support in Hospitalized Veterans With Acute Kidney Injury","PRECISE-AKI","Inclusion Criteria:\n\n* Eligible providers will be those that have at least 4 weeks of inpatient ward team or consultation team activity during a 12-month period.\n* Case inclusion criteria will consist of hospitalizations that meet criteria for Kidney Disease Improving Global Outcomes Stage 2 injury or persistent Stage 1 injury seen by eligible providers.\n\nExclusion Criteria:\n\n* Ineligible providers will be those that have \\\u003C 4 weeks of inpatient ward team of consultative team activity during a 12 month period.\n* Hospitalizations with non-persistent (\\\u003C48 hours) stage 1 injury or less.","ALL","18 Years",{"count":76,"type":77},60,"ESTIMATED","INTERVENTIONAL",[80],"NA","Acute kidney injury (AKI) affects up to 20% of hospitalized Veterans and is strongly associated with morbidity and death. AKI is a diverse condition and timely and accurate diagnosis of the type of AKI is critical to begin appropriate therapies, especially those causes that require specific treatments beyond general supportive care. Yet, there are still significant gaps in the initial evaluation of AKI among hospitalized patients. Clinical decision support systems (CDSS) have shown promise to address these barriers, but most consist of simple alerting schemes and general care recommendations provided at a single point in time. The goal of this proposal is to develop and test the feasibility and usability of a rule-based and Artificial Intelligence-assisted precision CDSS tool (PRECISE-AKI) that can provide cognitive support to improve timely initial diagnostic evaluation of AKI.",[83],"Acute Kidney Injury (AKI)",[85,86,87],"Acute Kidney Injury","Decision Support Systems, Clinical","Artificial Intelligence","NOT_YET_RECRUITING","2025-10-15",{"date":91,"type":92},"2025-10-16","ACTUAL",{"date":94,"type":77},"2028-01-01",{"date":96,"type":77},"2029-06-30",{"name":5,"class":6},1]