[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"iron-deficiency-anemias\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:iron-deficiency-anemias":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,47],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":28,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":46},"100623242","assessing-clinical-impact-of-ai-for-iron-deficiency-100623242",false,"NCT07394088","Assessing Clinical Impact of AI for Iron Deficiency","Evaluation of the Clinical Impact of Machine Learning-Based Risk Classification Using Blood Analysis on Iron Deficiency Detection","Inclusion Criteria:\n\n1. Adults aged 18 years or older.\n2. Patients attending outpatient clinics of participating departments including 2.1. Internal Medicine, 2.2 Family Medicine 2.3. Hematology\u002FOncology\n3. Completion of a routine complete blood count (CBC) as part of usual clinical care during the outpatient encounter.\n4. Availability of the CBC report in the institutional laboratory information system, allowing sufficient data for analysis.\n\nExclusion Criteria:\n\n1. Encounters with missing or incomplete key identifiers (e.g., patient identification number, ) that prevent determination of exposure status (AI information displayed vs not displayed) or assessment of outcomes within the defined follow-up period.\n2. Encounters without a valid department code required by the information system to trigger the randomization mechanism and AI risk display.\n3. Encounters with incomplete or missing laboratory data required to activate the AI system.\n4. Repeated CBC encounters from the same patient during the study period, if applicable; only the first eligible encounter will be included to avoid duplication.","ALL","18 Years",{"count":19,"type":20},2196,"ESTIMATED","INTERVENTIONAL",[23],"NA","The goal of this clinical trial is to evaluate whether an AI-based risk notification system integrated into routine clinical care can improve the clinical detection of iron deficiency in adult patients attending Internal Medicine, Family Medicine, and Hematology\u002FOncology clinics at China Medical University Hospital in Taiwan.\n\nThe main questions this study aims to answer are:\n\n1. Does displaying AI-generated iron deficiency risk classification to physicians increase the overall detection rate of iron deficiency at the population level?\n2. Does the AI-based risk notification influence physicians' diagnostic behavior by increasing the rate at which ferritin testing is ordered specifically for suspected iron deficiency?\n3. Among ferritin tests ordered for suspected iron deficiency, does the diagnostic yield (positivity rate) remain appropriate, reflecting efficient use of testing resources?\n4. Are the effects of the AI-assisted intervention consistent among patients with anemia and without anemia?\n\nComparison Groups Researchers will compare clinical encounters in which physicians receive AI-generated iron deficiency risk information (the Prompt Group) with encounters in which physicians receive standard laboratory results without AI risk display (the Control Group). The comparison focuses on differences in iron deficiency detection, ferritin ordering behavior for suspected iron deficiency, and diagnostic yield.\n\nWhat Participants Will Experience\n\n1. No Additional Procedures:\n\n   As this is a pragmatic study embedded in routine clinical care, participants will not undergo any additional blood draws, invasive procedures, or clinic visits beyond standard care.\n2. Routine Care Only:\n\n   Patients attend their scheduled outpatient visits and receive complete blood count (CBC) testing as ordered by their treating physician, independent of study participation.\n3. Background Data Integration:\n\n   The AI system operates within the hospital's information system, analyzing routinely collected CBC data after results become available. No additional data entry or action is required from patients.\n4. Physician Autonomy Preserved:\n\nThe AI provides a non-mandatory risk classification as decision support. For patients identified as high risk, the system may display an informational prompt suggesting consideration of iron-related testing if no recent testing is found. All diagnostic and management decisions remain entirely at the discretion of the treating physician.",[26,27],"Iron Deficiency","Iron Deficiency Anemias",[29,30,31,32,33],"machine learning","complete blood count","iron deficiency","pragmatic randomized trial","detection rate","RECRUITING","2026-05-21",{"date":37,"type":38},"2026-05-26","ACTUAL",{"date":40,"type":38},"2026-04-01",{"date":42,"type":20},"2027-03",{"name":44,"class":45},"China Medical University Hospital","OTHER",1,{"id":48,"slug":49,"hasResults":11,"nctId":50,"briefTitle":51,"officialTitle":51,"acronym":52,"eligibilityCriteria":53,"healthyVolunteers":11,"sex":16,"minAge":54,"maxAge":17,"enrollmentInfo":55,"targetDuration":4,"studyType":21,"phases":57,"briefSummary":59,"conditions":60,"keywords":65,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":4},"100624789","phase-4-the-role-of-ferric-carboxymaltose-in-the-treatment-of-pediatric-iron-deficiency-anemia-in-the-emergency-department-100624789","NCT07414199","The Role of Ferric Carboxymaltose in the Treatment of Pediatric Iron Deficiency Anemia in the Emergency Department","ED-Heme FCM","Inclusion Criteria:\n\n* 1 year to 18 years of age\n* Lab results indicative of anemia due to iron deficiency with Hb between 6.0 g\u002FdL-10.0 g\u002FdL for age and gender\n* Patient is hemodynamically stable\n\nExclusion Criteria:\n\n* Patients \\\u003C1 year or \\> 18 years of age\n* Patients with normal Hb or Hb \\\u003C6 g\u002FdL\n* Overt Bleeding (excluding menstrual bleeding)\n* Traumatic etiology for blood loss\n* Malignancy\n* Thrombocytopenia (platelets \\\u003C100k)\n* Active infection","1 Year",{"count":56,"type":20},150,[58],"PHASE4","The goal of this project is to assess the feasibility, clinical effectiveness, and cost-effectiveness of IV iron therapy using ferric carboxymaltose (FCM) as a treatment for pediatric patients with iron deficiency anemia (IDA) in the emergency department (ED).\n\nThe primary objectives are to:\n\n1. examine and compare healthcare utilization and clinical outcomes of IV FCM use in the pediatric ED compared to historical cohort.\n2. determine the feasibility of IV FCM in the pediatric ED.\n\nA secondary objective of this study is to evaluate if additional laboratory markers such as soluble transferrin receptor (sTfR) or reticulocyte hemoglobin equivalent can serve as potential surrogate markers for diagnosing and monitoring treatment response of IDA between oral iron and IV FCM.\n\nBy evaluating clinical outcomes such as the time to resolution of anemia, hospitalization rates and need for PRBC transfusion, assessing the feasibility of FCM implementation, and secondarily exploring potential adjunct markers for monitoring IDA, this study aims to fill the current research gap and potentially revolutionize management of IDA in pediatric emergency care.",[61,62,63,64,27],"Iron Deficiency Anemia Associated With Non-Dialysis Dependent Chronic Kidney Disease","Iron Deficiency Anaemia Due to Dietary Causes","Iron Deficiency Anemia Treatment","Iron Deficiency Anemia Secondary to IBD or Gastric Bypass",[66,67,68],"Iron deficiency","anemia","ferric carboxymaltose","NOT_YET_RECRUITING","2026-02-10",{"date":72,"type":38},"2026-02-17",{"date":74,"type":20},"2026-01-31",{"date":76,"type":20},"2026-12-31",{"name":78,"class":45},"Children's Hospital of Orange County"]