**Translation of in situ neonatal high-fidelity simulation training: identification and mitigation of latent safety threats**

This study aimed to use in situ high-fidelity neonatal simulation training to identify latent safety threats in various neonatal scenarios. Having identified the threats, we then developed and implemented system improvement actions to mitigate them. We translated what we learnt from the mitigation process to real-life events. In this way we hope to improve upon our efficiency, quality of care, and patient safety.

Charu Bhatia
Consultant Neonatal Medicine
charubhatia@nhs.net

Geraldine Mangan
Practice Development Facilitator,
Senior Neonatal Nurse

Jessie Mertalla
Senior Neonatal Sister

Ather Ahmed
Consultant Neonatal Medicine

Neonatal Unit, Lister Hospital, East and North Hertfordshire NHS Trust

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Keywords

high-fidelity in situ neonatal simulation training; latent safety threats; crisis resource management skills; quality improvement

Key points

High-fidelity in situ neonatal simulation training on the neonatal unit helps develop technical and crisis resource management skills and can also identify latent threats in a system.
Once latent safety threats are identified, it is possible to implement a process to mitigate them.
Successful translation of mitigation processes to real-life scenarios indicates effective training and a patient-safe environment.

Also published in Infant:

VOLUME 15/ISSUE 2, MARCH 2019

BadgerNet admission data entry: a quality improvement project

Completion of BadgerNet data is important for every neonatal unit yet often it is incomplete and the quality/accuracy of the data could be better. The aim of this quality improvement project was to monitor accuracy and compliance with National Neonatal Audit Programme (NNAP) data and to audit the accuracy of BadgerNet admission summaries. The project assesses outcomes in the local neonatal unit at Kettering General Hospital before and after the formal introduction of a set of improvement measures.