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Published on: September 20, 2019
Use of the Lean Manufacturing Principles to Improve Total Parenteral Nutrition Logistics and Clinical Outcomes in the
Christopher D Mangum1, Andrew J Stanley2, Catherine C Peterson3
1Department of Quality and Patient Safety, Children's Hospital of The King's Daughters, Norfolk, Va.
Abstract:
Total parenteral nutrition (TPN) is one of the most frequently used pharmaceuticals administered to patients in our Neonatal Intensive Care Unit (NICU). Initially, the total interdepartmental processing time (ordering, manufacturing, and delivery between NICU and Pharmacy) averaged 15.2 hours. Inefficiencies in this process only allowed TPN to infuse 8.8 hours on average before labs were collected the next morning. Given the short administration-to-laboratory collection time, we hypothesized that laboratory samples would not adequately reflect the effect of the current TPN infusion. Furthermore, clinicians would be making decisions based on suboptimal data and ultimately nourish this patient population inadequately.
Methods:
The project team and the frontline staff created an efficient process for the manufacture and delivery of TPN. They removed waste in the process associated with manufacturing TPN and created capacity for change upstream (ordering process) and downstream (TPN infusion process) of the internal pharmacy process. The use of selection criteria and new standard operating procedures allowed for controlled PDSA testing of changes on a subset of patients. After we attained proven, sustainable results, we scaled the improvement efforts to the entire NICU patient population.
Results:
After 4 cycles of change, patients now receive TPN on average 14.2 hours before new labs are collected. The interventions over the continuum of this project yielded statistically significant results, increased infusion times to our patients by 61.4% (P < 0.001), improved glucose homeostasis, and decreased average length of stay.
Conclusions:
In conclusion, creating process capacity from incremental changes and iterative PDSA cycles has yielded sustained results.
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