Short answer

Implement robust, technology-assisted verification systems and specialized personnel to minimize errors in critical product delivery processes.

Field
Commercial Production
Source
PEDIATRICS (2017)
Method
Quasi-experimental time series design incorporating elements of the Model for Improvement and Six Sigma methodology.
Evidence
Strong effect

Implementing a barcode medication administration system with bedside scanners and dedicated staff significantly reduces errors in human milk delivery within a Neonatal Intensive Care Unit. This commercial production research insight is drawn from a 2017 study published in PEDIATRICS. Using Quasi-experimental time series design incorporating elements of the model for improvement and six sigma methodology., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Implement robust, technology-assisted verification systems and specialized personnel to minimize errors in critical product delivery processes.

Study
Commercial ProductionHigh ImpactStrong effect

Barcode Scanning Reduces Human Milk Errors in NICU by 89%

Implementing a barcode medication administration system with bedside scanners and dedicated staff significantly reduces errors in human milk delivery within a Neonatal Intensive Care Unit.

PEDIATRICS · 2017

01

Key Findings

  • 01Total scanned errors decreased from 97.1 per 1000 bottles to 10.8 per 1000 bottles between 2009 and 2015.
  • 02Expired milk error scans reduced from 84.0 to 8.9 per 1000 bottles.
  • 03Wrong-milk-to-wrong-infant error scans decreased from 8.3 to 2.0 per 1000 bottles.
  • 04Preparation errors declined from 4.8 to 2.2 per 1000 bottles.
  • 05Installation of bedside scanners and dedicated milk handling staff were identified as impactful interventions.
02

Application

Design takeaway

Implement robust, technology-assisted verification systems and specialized personnel to minimize errors in critical product delivery processes.

How to apply

In any design project involving the distribution or administration of critical items, consider incorporating barcode scanning, real-time tracking, and clearly defined roles for personnel to ensure accuracy and prevent mix-ups.

Project actions

  • 01When designing a system for handling sensitive items, think about how you can use technology to double-check each step.
  • 02Consider how different people in the process can have specific jobs to reduce the chance of mistakes.
03

Method & Evidence

AimTo assess the effectiveness of a quality improvement initiative in reducing human milk administration errors in a Neonatal Intensive Care Unit over a six-year period.
MethodQuasi-experimental time series design incorporating elements of the Model for Improvement and Six Sigma methodology.
ProcedureThe study implemented a quality improvement initiative using barcode medication administration systems to track and identify errors related to human milk. Errors monitored included wrong milk to wrong infant, expired milk, and preparation errors. Statistical process control charts were used to monitor error rates before and after the implementation of interventions, such as installing bedside scanners and assigning dedicated staff for milk handling, from 2009 to 2015.
ContextNeonatal Intensive Care Unit (NICU) setting.

Variables

IVImplementation of quality improvement initiatives (barcode scanning, dedicated staff).
DVRate of human milk administration errors (wrong milk to wrong infant, expired milk, preparation errors).
CVTime period (2009-2015), NICU setting, type of milk.
04

Strengths & Limitations

Strengths

  • +Longitudinal study period (6 years) allowing for observation of sustained impact.
  • +Use of statistical process control charts for rigorous data analysis.
  • +Focus on a critical area with direct patient safety implications.

Limitations

The effectiveness of the interventions might vary depending on the specific technology used, the training provided to staff, and the overall culture of the organization.

Reliability & validity

The study's reliability is supported by the use of objective scanned error data and statistical process control. Validity is enhanced by the long study duration and the focus on a specific, measurable outcome. However, the quasi-experimental nature means causality cannot be definitively proven without a control group.

Think critically

To what extent would the cost of implementing such a system be justified in less critical environments where the consequences of error are less severe?

05

Design Principles

"Automated verification systems and specialized roles significantly enhance product accuracy and safety in complex operational environments."

This research highlights the critical role of robust tracking and verification systems in high-stakes environments where product accuracy is paramount. The findings demonstrate how technology and process optimization can directly mitigate risks associated with product misidentification and quality control, leading to improved safety and efficiency.

06

What This Means for Your Design

Using scanners to check that the right milk goes to the right baby in the hospital's special care unit for newborns drastically cut down mistakes.

How to use in your project

  • 1.Reference this study when discussing the importance of verification systems and quality control in your design project, especially if it involves handling sensitive or critical items.
07

Add to My Project

08

Quick Cite

Paragraph starter

The implementation of a barcode medication administration system, coupled with dedicated staff for milk handling, has been shown to dramatically reduce human milk administration errors in NICU settings, decreasing overall scanned errors by over 89% (Oza-Frank et al., 2017). This highlights the potential for technology-driven verification processes and specialized roles to enhance product accuracy and safety in critical environments.

09

Source

PEDIATRICS

A Quality Improvement Project to Decrease Human Milk Errors in the NICU

journal · 2017

View source

Questions About This Research

What does the research say about barcode scanning reduces human milk errors in nicu by 89%?
Implement robust, technology-assisted verification systems and specialized personnel to minimize errors in critical product delivery processes. Evidence: PEDIATRICS (2017).
Why does "Barcode Scanning Reduces Human Milk Errors in NICU by 89%" matter for design?
This research highlights the critical role of robust tracking and verification systems in high-stakes environments where product accuracy is paramount. The findings demonstrate how technology and process optimization can directly mitigate risks associated with product misidentification and quality control, leading to improved safety and efficiency.
How can designers apply this research?
Implement robust, technology-assisted verification systems and specialized personnel to minimize errors in critical product delivery processes.
What were the main findings?
Total scanned errors decreased from 97.1 per 1000 bottles to 10.8 per 1000 bottles between 2009 and 2015.. Expired milk error scans reduced from 84.0 to 8.9 per 1000 bottles.. Wrong-milk-to-wrong-infant error scans decreased from 8.3 to 2.0 per 1000 bottles.. Preparation errors declined from 4.8 to 2.2 per 1000 bottles.
What research method was used?
Quasi-experimental time series design incorporating elements of the Model for Improvement and Six Sigma methodology..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2017 journal from PEDIATRICS.
What should I do differently in my next project?
In any design project involving the distribution or administration of critical items, consider incorporating barcode scanning, real-time tracking, and clearly defined roles for personnel to ensure accuracy and prevent mix-ups.
What are the limitations?
The study was conducted in a single NICU, limiting generalizability to other settings without similar resources or protocols. The specific details of all interventions beyond scanners and dedicated staff are not fully elaborated.