[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100473662":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":30,"locations":36,"responsibleParty":68,"collaborators":71,"id":77,"slug":78,"hasResults":79,"nctId":80,"briefTitle":81,"officialTitle":82,"acronym":18,"eligibilityCriteria":83,"healthyVolunteers":79,"sex":84,"minAge":85,"maxAge":18,"enrollmentInfo":86,"targetDuration":18,"studyType":89,"phases":90,"briefSummary":92,"conditions":93,"keywords":99,"overallStatus":39,"whyStopped":18,"lastUpdateSubmitDate":104,"lastUpdatePostDateStruct":105,"startDateStruct":108,"completionDateStruct":110,"leadSponsor":112,"locationsCount":113},{"fullName":5,"class":6},"Milton S. Hershey Medical Center","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Active Inpatient Diabetes Clinical Decision Support","EXPERIMENTAL","The Active arm consists of participants treated during the \"ON\" phase of the GlucAlert-CDS tool. The tool operates through an automated process of rules embedded in the EMR recognizing hypoglycemia (established or impending); recurrent hyperglycemia (in type 1 and 2 DM, or stress hyperglycemia-SH); and inappropriate insulin use (sliding scales monotherapy if recurrent hyperglycemia in type 2 DM or SH, or any time in type 1 DM). If the tool's criteria are met, an alert in the EMR will notify the provider with the clinically recommended treatment.",[13],"Device: Active Electronic Medical Record Inpatient Diabetes Clinical Decision Support",{"label":15,"type":16,"description":17,"interventionNames":18},"Inactive Inpatient Diabetes Clinical Decision Support","NO_INTERVENTION","The Inactive arm consists of participants treated during the \"OFF\" phase of the GlucAlert-CDS Tool. Alerts will not be sent to provider's",null,[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":18},"DEVICE","Active Electronic Medical Record Inpatient Diabetes Clinical Decision Support","This prospective intervention will be carried out over 36 months and encompass 12 alternating GlucAlert-CDS phases lasting 3 months each. Six active phases (ON period) and six inactive phases (OFF period) will represent 18 months of intervention and control respectively. GlucAlert-CDS recognizes gaps in care denoting the automatic process of subjects' identification and inclusion. During the ON period, gap in care events detected in patients' EMR will evoke alert messages and care recommendations for clinicians in real time for their consideration. These notifications are programmed to be delivered to primary inpatient providers in direct care of these hospitalized patients. During the OFF period, the program will record the gaps in care events detected, but alerts will be inactive for providers' viewing.",[9],[26],{"name":27,"affiliation":28,"role":29},"Ariana Pichardo-Lowden, MD","Penn State College of Medicine","PRINCIPAL_INVESTIGATOR",[31],{"name":27,"role":32,"phone":33,"phoneExt":34,"email":35},"CONTACT","7175310003","281452","apichardolowden@pennstatehealth.psu.edu",[37,54],{"facility":38,"status":39,"city":40,"state":41,"zip":42,"country":43,"countryCode":44,"cosmosGeoPoint":45,"geoPoint":50,"contacts":51},"Penn State Hershey Medical Center","RECRUITING","Hershey","Pennsylvania","17033","United States","US",{"type":46,"coordinates":47},"Point",[48,49],-76.65025,40.28592,{"lat":49,"lon":48},[52],{"name":27,"role":32,"phone":53,"phoneExt":34,"email":35},"717-531-0003",{"facility":55,"status":39,"city":56,"state":41,"zip":57,"country":43,"countryCode":44,"cosmosGeoPoint":58,"geoPoint":62,"contacts":63},"Penn State Health St. Joseph Medical Center","Reading","19605",{"type":46,"coordinates":59},[60,61],-75.92687,40.33565,{"lat":61,"lon":60},[64],{"name":65,"role":32,"phone":66,"phoneExt":18,"email":67},"Franciss Quigley, MD","610 378 2440","fquigley@pennstatehealth.psu.edu",{"type":29,"investigatorFullName":69,"investigatorTitle":70,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"Ariana Pichardo-Lowden","Professor, Department of Medicine",[72,75],{"name":73,"class":74},"National Institutes of Health (NIH)","NIH",{"name":76,"class":74},"National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)","100473662","diabetes-clinical-decision-support-100473662",false,"NCT05447806","Diabetes Clinical Decision Support","Glucose Management Clinical Decision Support to Improve Outcomes in Academic and Community Hospitals","Inclusion Criteria:\n\n* Hospitalized adult (\\>18 years) patients at Penn State Health, Hershey Medical Center, St. Joseph's Hospital, Hampden Medical Center, Holy Spirit Medical Center, and Lancaster Medical Center\n* Ambulatory adult (\\>18 years) patients at Penn State Health, Hershey Medical Center, St. Joseph's Hospital, Hampden Medical Center, Holy Spirit Medical Center, and Lancaster Medical Center\n* Trigger of an alert or a disease management message\n\nExclusion Criteria:\n\n* Children (\\\u003C18 years)","ALL","18 Years",{"count":87,"type":88},15732,"ESTIMATED","INTERVENTIONAL",[91],"NA","The purpose of this study is to determine the impact of an electronic medical record clinical decision support tool on rates of dysglycemia in the hospital, and its clinical and economical outcomes. The study also evaluates the perspectives of providers regarding the tool's usefulness on disease management support, knowledge, and practice performance.",[94,95,96,97,98],"Hyperglycemia","Hyperglycemia Stress","Diabetes","PreDiabetes","Hypoglycemia",[100,101,102,103],"Clinical Decision Support","Electronic Medical Records","Health Systems Science","Hospital Management","2026-05-12",{"date":106,"type":107},"2026-05-14","ACTUAL",{"date":109,"type":107},"2022-07-15",{"date":111,"type":88},"2026-10-16",{"name":5,"class":6},2]