AI-guided risk alerts to help doctors spot iron deficiency
Official title: Evaluation of the Clinical Impact of Machine Learning-Based Risk Classification Using Blood Analysis on Iron Deficiency Detection
Run by China Medical University Hospital · NCT07394088 · Data updated 2026-11-12
This trial tests whether an AI risk alert shown to clinicians after a CBC helps them detect iron deficiency more often in adult outpatients.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 2196 (estimated) |
| Sponsor | China Medical University Hospital Academic / other |
| Locations | 1 site (Taichung) |
| Status | Recruiting |
| Started | April 1, 2026 |
| Main results expected | December 31, 2026 |
| Study ends | March 2027 |
| Registry record updated | May 26, 2026 |
| Trial ID | NCT07394088 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (18+) receiving outpatient care in internal medicine, family medicine, or hematology/oncology at CMUH who have a CBC performed as part of routine care.
✕Probably not a fit
Patients in whom iron deficiency is not present or where the AI alert does not change clinical decisions may not experience direct benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is a single-center, pragmatic randomized trial at China Medical University Hospital in Taiwan. The study integrates a machine learning risk notification into the electronic health record to alert physicians after CBC results are available. Participants are adult outpatients in internal medicine, family medicine, and hematology/oncology clinics, with randomization occurring automatically within routine care. The trial examines whether the AI display changes physician testing and diagnostic behavior, including ferritin testing rates and the diagnostic yield of those tests, in real-world outpatient practice.
Why it matters
Potential benefit: If successful, clinicians may detect iron deficiency more reliably and efficiently, potentially leading to earlier treatment for patients who need it.
How similar studies have gone: Prior pragmatic, AI-based decision support trials have shown potential to influence diagnostic testing, but this specific iron deficiency alert approach is relatively novel in this setting.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Adults aged 18 years or older. 2. Patients attending outpatient clinics of participating departments including 2.1. Internal Medicine, 2.2 Family Medicine 2.3. Hematology/Oncology 3. Completion of a routine complete blood count (CBC) as part of usual clinical care during the outpatient encounter. 4. Availability of the CBC report in the institutional laboratory information system, allowing sufficient data for analysis. Exclusion Criteria: 1. 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. 2. Encounters without a valid department code required by the information system to trigger the randomization mechanism and AI risk display. 3. Encounters with incomplete or missing laboratory data required to activate the AI system. 4. Repeated CBC encounters from the same patient during the study period, if applicable; only the first eligible encounter will be included to avoid duplication.
Where it's running
-
China Medical University Hospital
Taichung, Taiwan Recruiting
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Iron status prediction in elderly with inflammation
This study tests a model to tell true iron deficiency from inflammation-related anemia in people aged 75 and older who are hospitalized with inflammation.
-
Lactoferrin with low-dose iron to boost iron levels and aerobic fitness in active women
We will test whether taking lactoferrin with a small daily dose of iron helps raise iron stores and improve aerobic performance in menstruating women with low ferritin.
-
Intravenous iron infusion after transcatheter aortic valve implantation for people with iron deficiency
This trial will test whether an intravenous iron infusion after TAVI helps people aged 65 and older with severe aortic stenosis and iron deficiency feel better and walk farther.
-
Intravenous iron to improve exercise capacity and quality of life in pulmonary hypertension
This trial will test whether intravenous ferric carboxymaltose can improve exercise ability and quality of life in adults with pulmonary hypertension who have iron deficiency.
-
Preoperative IV iron for teens having spinal fusion to correct scoliosis
This trial will try giving a single IV iron infusion before spinal fusion to see if it helps 10–19-year-olds with scoliosis and low iron by reducing blood transfusions and improving recovery.
-
Non-invasive zinc protoporphyrin screening for iron deficiency in pregnancy
This project tests a handheld device that measures zinc protoporphyrin through the lower lip to detect iron deficiency in pregnant and recently postpartum people.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.