Use of Temporary Names for Newborns and Associated Risks.
Jason Adelman, Judy Aschner, Clyde Schechter...
https://pubmed.ncbi.nlm.nih.gov/26169429/Actively Recruiting
Led by Columbia University · Updated on 2026-03-16
6250
Participants Needed
4
Research Sites
52 weeks
Total Duration
Newborns in neonatal intensive care units NICUs face a high risk of wrong-patient errors, which this research aims to reduce by using Pictographs as a visual identification tool. This study evaluates the use of Pictographs, which are symbols combined with the infants name and a color-coded border showing sex, to improve newborn identification in the NICU. The trial is a multi-site, cluster randomized controlled study conducted at three academic medical centers using the Epic electronic health record EHR system. Parents or guardians select a unique Pictograph for each infant, which is displayed on the infants isolette and in the EHR during the hospital stay. Clinicians who place electronic orders in the NICU are randomly assigned to two groups one group sees the Pictographs in the EHR as part of the order process, while the other group does not. The study compares the rate of wrong-patient order errors between these groups using the Wrong-Patient Retract-and-Reorder RAR measure, which identifies near-miss ordering errors. Participants include all infants admitted to the NICUs and all ordering clinicians during the study period. Data is collected retrospectively from electronic orders and analyzed to detect wrong-patient order sessions. The study tracks Pictograph use, monitors error rates, and analyzes outcomes at the clinician and NICU levels over approximately 2.5 years. Parents consent verbally, and Pictographs are removed after infant discharge. This trial aims to provide evidence on whether Pictographs reduce wrong-patient errors in NICUs.
CONDITIONS
Pictographs for Preventing Wrong-Patient Errors in NICUs
J
Jason Adelman, MD, MS
T
Tony Lin, MD
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Columbia University
Lead Sponsor
Albert Einstein College of Medicine
Collaborating Sponsor
This table compares participation in this trial with other options available for this condition. The information is drawn from published research and the trial’s study details and is provided for educational purposes only.
| Factors | Patient Pictograph in Banner & Verification Alert | Standard Order Entry (No Pictograph) | Restriction of Concurrent EHR Records |
|---|---|---|---|
| What it is | Displays a patient pictograph in the electronic health record (EHR) banner and verification alert during order entry in the NICU. | Standard electronic order entry process in the NICU without pictographs shown at any point. | Restricts the number of concurrently open patient records in the EHR so clinicians can only place orders for one patient at a time. |
| Role in trial | Investigational strategy tested for its impact on reducing wrong-patient order errors. | Comparator arm representing usual EHR order entry with no added identification features. | External comparator showing an established EHR safety practice in clinical NICUs. |
| Primary use | Used to help clinicians correctly identify patients and reduce wrong-patient errors when placing orders. | Usual electronic order entry without specific patient-identification aids. | Designed to minimize wrong-patient order errors by restricting EHR workflow to one patient record at a time. |
| How it is given or performed | Clinicians see a patient pictograph in the EHR banner and are prompted by a pictograph verification alert when placing orders. | No additional identifying features are shown during order entry in NICU EHR system. | The EHR system allows only one patient chart to be open at a time for order entry, closing others automatically. |
| Evidence status | Currently being studied in a large randomized trial; no published outcome data yet. | Wrong-patient errors are measured as a primary outcome using the standard Retract-and-Reorder method; previous published studies show baseline error rates in NICUs using standard workflow. | Randomized trials have demonstrated that restricting concurrent open records in the EHR reduces wrong-patient order errors in NICUs compared to unrestricted workflow. |
| Important limitations | Effectiveness of pictograph display is not yet established; may depend on clinician attention and EHR design. No published patient outcome data yet. | Standard order entry does not use visual identification aids and is vulnerable to wrong-patient errors, especially in NICUs with high patient volume. | Restricting concurrent charts can reduce workflow flexibility and may inconvenience clinicians, though the safety benefit is supported by randomized evidence. |
Disclaimer: This comparison is created with the help of artificial intelligence(AI) and may contain errors or missing information. It is not medical advice and does not mean one option is better or safer than another. Clinical trials are still being studied, and joining a trial is your choice. Please consult your healthcare professional before making any decisions.
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Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 screening and enrollment visit (in-person)
Duration - Duration of the infant's hospital stay in the NICU
Participants receive the intervention consisting of displaying a Pictograph in the electronic health record and on the infant's isolette during the infant's hospital stay in the NICU. Clinicians are randomized to see Pictographs or not in the EHR while placing electronic orders.
Ongoing monitoring during routine clinical care visits in the NICU
Duration - Up to 2.5 years
Data on wrong-patient order sessions and Retract-and-Reorder events are collected retrospectively from electronic health records to assess the effectiveness of the Pictograph intervention over the study period.
No additional visits; data collected from routine clinical care records
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
2
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Jason Adelman, Judy Aschner, Clyde Schechter...
https://pubmed.ncbi.nlm.nih.gov/26169429/Jason S Adelman, Judy L Aschner, Clyde B Schechter...
https://pubmed.ncbi.nlm.nih.gov/28557730/Jason S Adelman, Gary E Kalkut, Clyde B Schechter...
https://pubmed.ncbi.nlm.nih.gov/22753810/Jason S Adelman, Judy L Aschner, Clyde B Schechter...
https://pubmed.ncbi.nlm.nih.gov/28403654/Jason S Adelman, Jo R Applebaum, Clyde B Schechter...
https://pubmed.ncbi.nlm.nih.gov/31087021/Columbia University
Lead Sponsor
Albert Einstein College of Medicine
Collaborating Sponsor