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Redesigning Clinical Decision Support for Retinopathy of Prematurity Screening After Alert Failure
Mikael Carl Gustav Guzman Karlsson1,2,3, Lauren M Hess1,4, Amy L Jeppesen1
1Texas Children's Hospital, Houston, Texas, United States.
Applied Clinical Informatics
|April 25, 2025
Summary
An interruptive alert for retinopathy of prematurity (ROP) screening failed to identify at-risk infants during readmissions. Data analysis led to a switch to a more effective, non-interruptive surveillance dashboard.
Area of Science:
- Pediatric ophthalmology
- Clinical informatics
- Healthcare quality improvement
Background:
- Retinopathy of prematurity (ROP) is a leading cause of preventable childhood blindness in premature infants.
- Current screening guidelines target infants with gestational age < 31 weeks or birthweight ≤ 1500g.
- Timely ROP screening during post-birth readmissions presents significant logistical challenges.
Purpose of the Study:
- To evaluate the performance of an interruptive clinical decision support (CDS) alert for ROP screening in readmitted premature infants.
- To analyze how data from the alert's performance informed the transition to a non-interruptive surveillance dashboard.
Main Methods:
- An interruptive alert was implemented for patients aged 1-365 days requiring ROP screening during hospital readmissions.
- Alert metrics, user responses, patient demographics, and ophthalmology consultations were extracted from the hospital's data warehouse.
- Statistical process control charts analyzed ophthalmology consultation rates before, during, and after alert implementation.
Main Results:
- The alert triggered 3309 times across 2194 patient encounters.
- Only 43% of encounters resulted in an "Accept and place order" response, with just 11% leading to an ophthalmology consult.
- A significant portion of consultations (34%) occurred despite alternative user responses, indicating alert inefficiency.
Conclusions:
- An analysis of the underperforming interruptive alert led to its deimplementation and replacement with a targeted, non-interruptive surveillance dashboard.
- This transition highlights the critical need to align CDS tools with clinical workflows, data availability, and user decision-making processes.
- Effective governance is essential for successful CDS implementation and optimization in healthcare settings.

