在复杂的自适应系统中,护士领导决策的新范式
1The Creating Collective, LLC, Rockwall, Texas; and Duke University School of Nursing, Durham, North Carolina.
Nursing administration quarterly
|June 7, 2024
概括
护士领导者可以通过应用复杂性科学原则来改善复杂的医疗保健系统中的决策. 了解系统动态和使用像Cynefin这样的框架可以提高适应性和创新性.
科学领域:
- 复杂性科学 复杂性科学
- 医疗保健管理的管理
- 系统思维 系统思维
背景情况:
- 传统的领导模式在动态的医疗保健环境中扎.
- 现代医疗保健需要适应性和敏捷的决策策略.
- 护士领导者在他们的角色中面临越来越多的复杂性.
研究的目的:
- 探索复杂性科学在医疗保健决策中的应用.
- 为护士领导者提供导航复杂适应系统的方法.
- 促进医疗保健领导层的创新和变革性变革.
主要方法:
- 复杂性科学基础和系统动态的审查.
- 应用Cynefin传感制造框架的应用.
- 制定策略,使医疗保健中的限制成为可能.
主要成果:
- 复杂性科学为理解医疗保健作为一个复杂的适应性系统提供了一个强大的方法.
- 赛内芬框架有助于识别问题类型和选择适当的决策策略.
- 适应性领导力促进医疗保健决策中的灵活性和创新.
结论:
- 护士领导者可以通过拥抱复杂性科学来加强决策.
- 适应性领导方法对于应对现代医疗保健挑战至关重要.
- 实施系统思维和适当的框架推动了变革性的变化.
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