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Impact of Computerized Prescription on Medication Errors and Workflow Efficiency in Neonatal Intensive Care Units: A
Amirah Daher1, Eman F Badran2, Manar Al-Lawama2
1Division of Pediatric Intensive Care, Department of Pediatrics, School of Medicine, The University of Jordan, Amman, Jordan.
Background:
Neonates are highly vulnerable to preventable medication errors due to their extensive exposure to medications in the neonatal intensive care units (NICUs). These errors, which can be made by medical, nursing, or pharmacy personnel, are costly and can be life-threatening. This study aimed to investigate the newly developed computerized neonatal pharmaceutical health care system (NPHCS) in terms of its ability to (1) minimize neonatal medication prescription errors (NMPEs) and (2) improve workflow efficiency compared with the traditional manual prescribing approach.
Methods:
A computerized neonatal medication prescription system was designed, developed, and tested successfully through a pilot clinical trial for over 6 months in 100 neonates. A three phase quasi-experimental study was then conducted using standardized monitoring checklists for the assessment of NMPEs before and after utilization of the developed prescribing system.
Results:
The obtained result showed a high rate of NMPEs in both systems, especially for the antibiotic drug group. However, the use of newly developed NPHCS significantly improved workflow efficacy. The identified errors were significantly more common in the manual mode than in the computerized mode (158.8 vs. 55 per 100 medications). These errors were distributed among different categories, including the documentation of patient identity, birth weight, and gestational age, as well as statements of dose, unit, interval, and diagnosis. Analysis of variance across different categories showed a p-value of <0.05.
Conclusion:
The use of the computerized NPHCS improved patient safety in NICUs by decreasing NMPEs. It also significantly reduced the time required for dose calculation, prescription generation, and electronic documentation of medical records, compared with the traditional handwritten approach.
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