Transforming the electronic health record from a documentation application to an automated diet program for personalizing neonatal nutrition and improving feeding administration safety through process improvement

Delivering adequate nutrition to preterm and sick neonates is critical for growth. Infants in the neonatal intensive care unit (NICU) require additional calories to supplement feedings for higher metabolic demands. Traditionally, clinicians enter free-text diet orders for a milk technician to formulate recipes, and dietitians manually calculate nutrition components to monitor growth. This daily process is complex and labor intensive with potential for error. Our goal was to develop an electronic health record (EHR)-integrated solution for entering feeding orders with automated nutrition calculations and mixing instructions. The EHR-integrated automated diet program (ADP) was created and implemented at a 52-bed level III academic NICU. The configuration of the parenteral nutrition orderable item within the EHR was adapted to generate personalized milk mixing recipes. Caloric, macronutrient, and micronutrient constituents were automatically calculated and displayed. To enhance administration safety, handwritten milk bottle patient labels were substituted with electronically generated and scannable patient labels. The program was further enhanced by calculating fortifier powder displacement factors to improve mixing precision. Order entry was optimized to allow for more complex mixing recipes and include a preference list of frequently ordered feeds. The EHR-ADP's safeguarded features allowed for catching multiple near-missed feeding administration errors. The NICU preterm neonate cohort had an average of 6-day decrease (P = 0.01) in the length of stay after implementation while maintaining the same weight gain velocity. The EHR-ADP may improve safety and efficiency; further improvements and wider utilization are needed to demonstrate the growth benefits of personalized nutrition.

Authors

Institutions

Publication Details

Journal
Nutrition in Clinical Practice
Published
2024-09-22
DOI
https://doi.org/10.1002/ncp.11212
Citations
1
Primary Topic
Clinical Nutrition and Gastroenterology
Type
article
Field-Weighted Citation Impact
0.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transforming the electronic health record from a documentation application to an automated diet program for personalizing neonatal nutrition and improving feeding administration safety through process improvement

Jennifer Spackman, Alisha Harmeson Owen, Ameena Husain, David ElHalta et al.
1 citations
Nutrition in Clinical Practice
Clinical Nutrition and Gastroenterology
0.31
article

Transforming the electronic health record from a documentation application to an automated diet program for personalizing neonatal nutrition and improving feeding administration safety through process improvement

Jennifer Spackman, Alisha Harmeson Owen, Ameena Husain, David ElHalta, S. Chen, Belinda Chan, Jennifer L. Murphy
article en
1 citations

Abstract

Delivering adequate nutrition to preterm and sick neonates is critical for growth. Infants in the neonatal intensive care unit (NICU) require additional calories to supplement feedings for higher metabolic demands. Traditionally, clinicians enter free-text diet orders for a milk technician to formulate recipes, and dietitians manually calculate nutrition components to monitor growth. This daily process is complex and labor intensive with potential for error. Our goal was to develop an electronic health record (EHR)-integrated solution for entering feeding orders with automated nutrition calculations and mixing instructions. The EHR-integrated automated diet program (ADP) was created and implemented at a 52-bed level III academic NICU. The configuration of the parenteral nutrition orderable item within the EHR was adapted to generate personalized milk mixing recipes. Caloric, macronutrient, and micronutrient constituents were automatically calculated and displayed. To enhance administration safety, handwritten milk bottle patient labels were substituted with electronically generated and scannable patient labels. The program was further enhanced by calculating fortifier powder displacement factors to improve mixing precision. Order entry was optimized to allow for more complex mixing recipes and include a preference list of frequently ordered feeds. The EHR-ADP's safeguarded features allowed for catching multiple near-missed feeding administration errors. The NICU preterm neonate cohort had an average of 6-day decrease (P = 0.01) in the length of stay after implementation while maintaining the same weight gain velocity. The EHR-ADP may improve safety and efficiency; further improvements and wider utilization are needed to demonstrate the growth benefits of personalized nutrition.

Nutrition in Clinical PracticeVol. 40(1)
University of Utah (US), St. Mark's Hospital (US)
Zero hunger
Openalex Percentile: Top 42%
Clinical Nutrition and Gastroenterology
0.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.