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Objective <p>To develop a parsimonious, interpretable, and accurate model for predicting discharge for premature infants in the NICU—a model suitable for prospective evaluation and integration into clinical workflows.</p> Study design <p>Using routinely available electronic health record data, we developed and validated NEOnatal Reliable Estimation of Approaching Discharge in Young Infants (NEO-READY), a daily-updating model that predicts the likelihood of discharge within 5 days for premature infants.</p> Results <p>Data from 702 infants were used to develop the model, and data from 201 infants were used for temporal external validation. The model included 13 predictors and two interaction terms and demonstrated excellent discrimination across development (AUC = 0.88, 95% CI 0.87–0.90) and validation (0.90, 0.88–0.91) cohorts.</p> Conclusion <p>This work represents step 1 toward our long-term goal: integrating the NEO-READY model into clinical workflows as part of a comprehensive strategy to improve discharge preparedness, reduce discharge delays, and optimize NICU resources.</p>

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Development and external validation of the NEO-READY model to predict date of discharge among premature neonatal intensive care patients

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月20日

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  • Hannah Lonsdale,
  • Kevin Patel,
  • Henry Domenico,
  • Ryan S. Moore,
  • Allison B. McCoy,
  • Benjamin French,
  • S. Trent Rosenbloom,
  • Daniel W. Byrne,
  • Robert E. Freundlich,
  • Mhd Wael Alrifai

摘要

Objective

To develop a parsimonious, interpretable, and accurate model for predicting discharge for premature infants in the NICU—a model suitable for prospective evaluation and integration into clinical workflows.

Study design

Using routinely available electronic health record data, we developed and validated NEOnatal Reliable Estimation of Approaching Discharge in Young Infants (NEO-READY), a daily-updating model that predicts the likelihood of discharge within 5 days for premature infants.

Results

Data from 702 infants were used to develop the model, and data from 201 infants were used for temporal external validation. The model included 13 predictors and two interaction terms and demonstrated excellent discrimination across development (AUC = 0.88, 95% CI 0.87–0.90) and validation (0.90, 0.88–0.91) cohorts.

Conclusion

This work represents step 1 toward our long-term goal: integrating the NEO-READY model into clinical workflows as part of a comprehensive strategy to improve discharge preparedness, reduce discharge delays, and optimize NICU resources.