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Table 1 Characteristics of complex system and their application to our work

From: Manifestations and implications of uncertainty for improving healthcare systems: an analysis of observational and interventional studies grounded in complexity science

Characteristic

Definition

Application

Individuals who learn

Individuals can process information and react to changes [23].

Focus on individuals in the system

Interconnections between agents

Individuals in the system are interconnected. Outcomes are the result of interactions across individuals rather than individual skill sets or behaviors [22].

Focus on how they relate, learn, and make sense

Self-organization

Order emerges from the interactions between individuals. These interactions cannot be completely understood or imposed from outside of the system [16].

Focus on patterns of relationships over time

Non-linearity and emergence

Complex behaviors emerge from simple rules. Inputs and outputs are not proportional or predictable [16]. System performance is not predictable over time [14],[15].

Focus on how individuals make sense of unexpected events and changes over time and learn from these experiences

Co-evolution and feedback loops

Individuals and microsystems are nested within other systems, which evolve and feed back over time [15],[21].