Computerized PN ordering optimizes timely nutrition therapy in a neonatal intensive care unit

Area of Science:

• Neonatal intensive care
• Parenteral nutrition therapy
• Healthcare automation

Background:

• Parenteral nutrition (PN) is critical for neonates unable to receive enteral nutrition.
• Manual PN ordering is time-consuming and prone to calculation errors.
• Optimizing PN processes can improve patient outcomes and resource utilization.

Purpose of the Study:

• To evaluate if automating parenteral nutrition (PN) ordering accelerates the process.
• To assess if automation improves the quality of nutrition therapy in neonates.
• To compare manual versus computer-assisted PN ordering in a neonatal intensive care unit (NICU).

Main Methods:

• Prospective study comparing manual and computer-assisted PN ordering over 2 weeks each.
• Data collected on order/delivery times and PN solution composition.
• 81 NICU infants receiving PN for >5 days were included.
• Student's unpaired t-test used for statistical analysis.

Main Results:

• Computer-assisted PN ordering significantly reduced order and delivery times (1.4 vs 4.5 minutes).
• Automation improved energy, protein, calcium, and phosphate content in PN solutions.
• Alkaline phosphatase levels improved, and caloric/protein goals were met sooner with automation.

Conclusions:

• Automating PN ordering streamlines processes by eliminating repetitive tasks and calculations.
• This automation enhances patient care in neonates by optimizing PN nutrient content.
• The study demonstrates significant time savings and improved therapeutic quality through PN automation.