Design of a Mixed-Reality Application to Reduce Pediatric Medication Errors in Prehospital Emergency Care

Children in prehospital emergency care are particularly vulnerable to medication errors, often with serious consequences. A prior study analyzing prehospital pediatric medication dosing errors, conducted after the implementation of a statewide pediatric drug-dosing reference for emergency medical services (EMS), identified an alarmingly high error rate. This significant finding led to the current study, which aims to develop technological interventions to reduce the frequency of medication errors for children during treatment by EMS. The current study focuses on the design and development of a safety strategy to automate medication administration using mixed-reality technology. Simulations were conducted to inform the design process, focusing on three scenarios: cardiac arrest, seizure, and burns. The design team included medical and engineering researchers, paramedics, and emergency medical technicians from multiple emergency medical service agencies. Root cause analysis (RCA) and failure mode and effects analysis (FMEA) were conducted after the simulations were completed. The RCA and FMEA were used to identify and prioritize failure points, which were then addressed in a mixed-reality solution using Microsoft HoloLens 2 to automate and enhance pediatric medication administration in prehospital emergency care. The resulting application will provide real-time assistance to guide paramedics through the complicated medication dosing and administration process using a detailed step-by-step guide, aiming to decrease medication errors and improve medication dosing accuracy.

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Publication Details

Journal
Applied Sciences
Published
2024-09-19
DOI
https://doi.org/10.3390/app14188426
Citations
4
Primary Topic
Patient Safety and Medication Errors
Type
article
Field-Weighted Citation Impact
2.98
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article

Design of a Mixed-Reality Application to Reduce Pediatric Medication Errors in Prehospital Emergency Care

A.C.M. Fong, G.Y. Hong, Vaishnavi Satya Sreeja Ankam
4 citations
Applied Sciences
Patient Safety and Medication Errors
2.98
article

Design of a Mixed-Reality Application to Reduce Pediatric Medication Errors in Prehospital Emergency Care

A.C.M. Fong, G.Y. Hong, Vaishnavi Satya Sreeja Ankam
article en
4 citations

Abstract

Children in prehospital emergency care are particularly vulnerable to medication errors, often with serious consequences. A prior study analyzing prehospital pediatric medication dosing errors, conducted after the implementation of a statewide pediatric drug-dosing reference for emergency medical services (EMS), identified an alarmingly high error rate. This significant finding led to the current study, which aims to develop technological interventions to reduce the frequency of medication errors for children during treatment by EMS. The current study focuses on the design and development of a safety strategy to automate medication administration using mixed-reality technology. Simulations were conducted to inform the design process, focusing on three scenarios: cardiac arrest, seizure, and burns. The design team included medical and engineering researchers, paramedics, and emergency medical technicians from multiple emergency medical service agencies. Root cause analysis (RCA) and failure mode and effects analysis (FMEA) were conducted after the simulations were completed. The RCA and FMEA were used to identify and prioritize failure points, which were then addressed in a mixed-reality solution using Microsoft HoloLens 2 to automate and enhance pediatric medication administration in prehospital emergency care. The resulting application will provide real-time assistance to guide paramedics through the complicated medication dosing and administration process using a detailed step-by-step guide, aiming to decrease medication errors and improve medication dosing accuracy.

Applied SciencesVol. 14(18)
Western Michigan University (US)
Good health and well-being
Openalex Percentile: Top 9%
Patient Safety and Medication Errors
2.98
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