Editing Complex system (section)

=== Complexity in healthcare research and practice ===

Healthcare systems are prime examples of complex systems, characterized by interactions among diverse stakeholders, such as patients, providers, policymakers, and researchers, across various sectors like health, government, community, and education. These systems demonstrate properties like non-linearity, emergence, adaptation, and feedback loops.<ref name=":0">{{Cite journal |last1=Kitson |first1=Alison |last2=Brook |first2=Alan |last3=Harvey |first3=Gill |last4=Jordan |first4=Zoe |last5=Marshall |first5=Rhianon |last6=O’Shea |first6=Rebekah |last7=Wilson |first7=David |date=2018-03-01 |title=Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation |url=https://www.ijhpm.com/article_3385.html |journal=International Journal of Health Policy and Management |language=en |volume=7 |issue=3 |pages=231–243 |doi=10.15171/ijhpm.2017.79 |issn=2322-5939 |pmc=5890068 |pmid=29524952}}</ref> Complexity science in healthcare frames [[knowledge translation]] as a dynamic and interconnected network of processes—problem identification, knowledge creation, synthesis, implementation, and evaluation—rather than a linear or cyclical sequence. Such approaches emphasize the importance of understanding and leveraging the interactions within and between these processes and stakeholders to optimize the creation and movement of knowledge. By acknowledging the complex, adaptive nature of healthcare systems, [[Complexity Science|complexity science]] advocates for continuous stakeholder engagement, [[transdisciplinary]] collaboration, and flexible strategies to effectively translate research into practice.<ref name=":0" />