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Electronic Decision Support in the Delivery Room Using Augmented Reality to Improve Newborn Life Support Guideline

Kishan D Tsang1, Mendel K Ottow, Arno F J van Heijst

  • 1From the Division of Neonatology, Department of Pediatrics (K.D.T., A.F.J.v.H., T.A.J.A.), and Department of Pediatrics (M.K.O.), Radboud University Medical Centre Amalia Children's Hospital, Nijmegen, the Netherlands.

Simulation in Healthcare : Journal of the Society for Simulation in Healthcare
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Summary

Augmented reality electronic decision support tools improve adherence to Newborn Life Support (NLS) guidelines during simulated neonatal resuscitation. This technology helps healthcare professionals perform critical steps more consistently.

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Area of Science:

  • Medical Simulation
  • Human-Computer Interaction
  • Pediatric Resuscitation

Background:

  • The Newborn Life Support (NLS) guideline standardizes neonatal resuscitation.
  • Consistent adherence to NLS guidelines is challenging for healthcare professionals.
  • Novel technologies are needed to improve guideline adherence.

Purpose of the Study:

  • To evaluate adherence to NLS guidelines using an augmented reality (AR) electronic decision support tool.
  • To compare AR tool performance against recall-based performance during simulated neonatal resuscitation.
  • To assess the impact of the AR tool on error rates and procedural timing.

Main Methods:

  • A randomized controlled pilot study involving 29 neonatal resuscitation professionals.
  • Participants were assigned to an intervention group (AR tool) or a control group (memory recall).
  • Standardized simulated neonatal resuscitation scenarios were recorded and assessed for NLS algorithm adherence by independent reviewers.

Main Results:

  • The intervention group using the AR tool demonstrated significantly higher adherence scores (34) compared to the control group (29) (P=0.004).
  • Fewer errors of commission were observed in the AR tool group (2) versus the control group (4) (P=0.029).
  • No significant differences in the time to initiation or completion of critical steps were found between groups.

Conclusions:

  • Augmented reality electronic decision support tools enhance adherence to NLS guidelines during simulated neonatal resuscitation.
  • The AR tool shows potential in reducing errors during critical resuscitation events.
  • Further research can explore the integration of AR tools in real-time clinical settings.