[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"referral-and-consultation\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:referral-and-consultation":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,48],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":30,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100647450","testing-an-ai-tool-to-help-primary-care-clinicians-with-specialty-consultation-questions-100647450",false,"NCT07706920","Testing an AI Tool to Help Primary Care Clinicians With Specialty Consultation Questions","Physician Usability and Output Quality Evaluation of a Retrieval-Augmented Language Model System for Specialty Medical Consultation: A Human-Computer Interaction Study","SAGE","Inclusion Criteria:\n\n* Physician practicing in primary care internal medicine and\u002For family medicine\n* Attending physician, or resident physician at postgraduate year 2 (PGY-2) or higher\n* Stanford-affiliated (faculty, staff, or trainee)\n* Able to complete a single, approximately 60-minute remote (Zoom) session conducted in English\n\nExclusion Criteria:\n\n* Not currently practicing in primary care internal medicine or family medicine\n* Member of the study team or otherwise involved in the development of SAGE\n* Unable to complete the remote study session",true,"ALL","18 Years",{"count":21,"type":22},15,"ESTIMATED","INTERVENTIONAL",[25],"NA","The goal of this study is to test an artificial intelligence (AI) tool called SAGE. SAGE helps primary care doctors with questions that often need a specialist. Primary care doctors are the doctors people usually see first. SAGE reviews a case and suggests what a specialist might advise.\n\nThe main questions it aims to answer are:\n\n* Do doctors make sound, timely care decisions when they use SAGE?\n* Do those decisions match what a specialist would advise?\n\nResearchers will compare the decisions doctors make with and without SAGE.\n\nDoctors in the study will:\n\n* Review made-up patient cases (these are not real patients)\n* Make a decision for each case, their usual way and with SAGE",[28,29],"Decision Support Systems, Clinical","Referral and Consultation",[31,32,33,34],"clinical decision support","electronic consultation","primary care","artificial intelligence","NOT_YET_RECRUITING","2026-07-10",{"date":38,"type":39},"2026-07-16","ACTUAL",{"date":41,"type":22},"2026-07",{"date":43,"type":22},"2026-09",{"name":45,"class":46},"Stanford University","OTHER",1,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":4,"eligibilityCriteria":54,"healthyVolunteers":11,"sex":18,"minAge":19,"maxAge":4,"enrollmentInfo":55,"targetDuration":4,"studyType":23,"phases":57,"briefSummary":58,"conditions":59,"keywords":64,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":47},"100626153","optimizing-referral-pathways-for-patients-with-hematuria-and-moderate-severe-proteinuria-100626153","NCT07431931","Optimizing Referral Pathways for Patients With Hematuria and Moderate-Severe Proteinuria","Optimizing Referral Pathways for Patients With Hematuria and Moderate-Severe Proteinuria - Phase 2: A Quality Improvement Project","Inclusion Criteria:\n\n* Adults aged ≥18 years\n* Patients receiving care from any Geisinger primary care provider (record of an encounter with a Geisinger PCP within the last 2 years from date of survey implementation)\n* Patients with high-risk glomerulonephritis features i.e. positive test results for hematuria (urine dipstick result with blood 1+ or greater) and proteinuria (2+ or 3+ protein on dipstick or ACR≥300 mg\u002Fg or PCR ≥500 mg\u002Fg) collected within 12 months of index date.\n\nExclusion Criteria:\n\n* Patients with a nephrologist appointment in the last 12 months before the index date\n* Patients with a prior appointment with a nephrologist within the last 2 years before the positive urinalysis test for hematuria (1+ or greater)\n* Patients with a history of glomerulonephritis and\u002For kidney failure (dialysis or eGFR \\\u003C 15 mL\u002Fmin\u002F1.73m2, or kidney transplantation) at any time during the baseline\n* Patients receiving palliative care at any time during the baseline",{"count":56,"type":22},1200,[25],"The purpose of the study is to evaluate prospectively the impact of an electronic health record (EHR) alert on primary care providers' (PCP) referral to Nephrology of Geisinger patients with high risk signs (blood and protein in the urine) of glomerulonephritis. This will help quantify the relative effectiveness of EHR alerts on PCPs' referral patterns.",[29,60,61,62,63],"Glomerulonephritis","Hematuria","Proteinuria","Kidney Disease",[65],"Hematuria; Proteinuria; Albuminuria; Glomerulonephritis; Clinical Decision Support; EHR Alert; Referral; Nephrology","2026-05-07",{"date":68,"type":39},"2026-05-12",{"date":70,"type":22},"2026-11",{"date":72,"type":22},"2027-12",{"name":74,"class":46},"Geisinger Clinic"]