What is a dynamic system?

A dynamic system is defined as one that is in constant change and is influenced by feedback within its environment. This means that various factors can affect the system over time, leading to fluctuating states and behaviors. In a dynamic system, the input can lead to different outputs depending on the current conditions and the previous states of the system, providing a cycle of continuous adaptation and response. This adaptability is crucial in fields like health informatics, where patient data and treatment protocols evolve based on real-time feedback.

The characteristic of being influenced by feedback highlights the importance of interactions where the system can adjust based on results or changes in its environment, which is integral for learning and improvement in various applications. Understanding dynamic systems is essential when analyzing processes that require constant updates and learning mechanisms, especially in healthcare settings where patient conditions and treatment methodologies are not static.

On the other hand, systems that remain unchanged, are completely isolated, or have no interactions do not qualify as dynamic. These characteristics would instead describe static systems or closed systems, which do not incorporate feedback mechanisms that allow for evolution and adaptation over time.