Utilizing Recorded Resuscitations for Neonatal Team Process Improvement

IF 2.3 Q2 HEALTH CARE SCIENCES & SERVICES
Audrey Moore NNP (is Neonatology Nurse Practitioner, Lucile Packard Children's Hospital Stanford, Palo Alto, California, and Center for Advanced Pediatric & Perinatal Education (CAPE), Stanford University), Louis P. Halamek MD (is Professor, Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University), Janene H. Fuerch MD (is Clinical Associate Professor, Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University), Rodrigo B. Galindo MSc, CHSOS (is CAPE Simulation Lab Manager and Operations Specialist, Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University), Nicole K. Yamada MD, MS (is Clinical Professor, Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University. Please address correspondence to Audrey Moore)
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引用次数: 0

Abstract

Newborn resuscitation requires health care professionals to quickly assemble into a high-functioning integrated team. At the authors’ academic children's hospital, there are billions of permutations of team composition that could attend a complex newborn delivery at any given time. ResusOne, a resuscitation safety and performance improvement program, uses recorded neonatal resuscitations to identify areas for improvement. The authors identified the following key areas that would support better team performance: (1) need for role clarity and task allocation among delivery team members and (2) communication challenges when calling for neonatal delivery teams. This article describes two tools that were developed to address the issues that were identified in these two areas.
利用记录复苏新生儿团队流程改进。
新生儿复苏需要医疗保健专业人员迅速组成一个高功能的综合团队。在作者的学术儿童医院,有数十亿的团队组成组合可以在任何给定的时间参与复杂的新生儿分娩。复苏,一个安全和性能改进程序,使用新生儿复苏记录来确定需要改进的领域。作者确定了支持更好的团队绩效的以下关键领域:(1)需要在分娩团队成员之间明确角色和任务分配;(2)呼叫新生儿分娩团队时的沟通挑战。本文描述了为解决在这两个领域中发现的问题而开发的两个工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.80
自引率
4.30%
发文量
116
审稿时长
49 days
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