What type of system captures new knowledge as a by-product of healthcare delivery?

A learning health system is designed to continuously improve healthcare delivery by integrating clinical data and knowledge generation as part of the healthcare process. This type of system captures new insights and knowledge as they emerge from everyday practices, clinical encounters, and research, allowing for real-time adjustments to treatment protocols and care processes.

By leveraging patient data collected during healthcare delivery, a learning health system can analyze outcomes and identify best practices. This ongoing cycle creates a dynamic environment where knowledge is not only utilized but also expanded and refined through practical experiences. This self-reinforcing loop encourages innovation in treatment approaches and enhances overall healthcare quality.

In contrast, other systems mentioned, such as learning management systems, material management, and master person index, serve different purposes. A learning management system focuses on educational training and resource distribution rather than capturing knowledge from healthcare interactions. Material management relates to the logistics of healthcare materials, while a master person index serves to uniquely identify individuals within a health database, not to actively generate or capture clinical knowledge.