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Informatics Infrastructure for the Learning Health System.

Jessica D Tenenbaum1, James J Cimino2, David A Dorr3

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Summary
This summary is machine-generated.

The learning health system (LHS) uses clinical data analysis for knowledge generation and continuous healthcare improvement. Informatics and data science are crucial for enabling and advancing the LHS cycle, impacting governance and culture.

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Area of Science:

  • Health Informatics
  • Healthcare Systems Engineering
  • Data Science in Medicine

Background:

  • The learning health system (LHS) paradigm integrates data analysis with clinical practice for knowledge generation and system improvement.
  • Informatics is fundamental to LHS, providing infrastructure and driving progress through the LHS cycle.

Purpose of the Study:

  • To review the origins and foundations of the learning health system (LHS).
  • To examine the critical role of informatics and data science within the LHS cycle.
  • To contextualize LHS technical aspects with governance and culture.

Main Methods:

  • Literature review of learning health system (LHS) concepts.
  • Analysis of informatics and data science applications in healthcare.
  • Discussion of governance and cultural factors influencing LHS implementation.

Main Results:

  • Informatics is central to data collection, knowledge generation, and application in LHS.
  • Data science techniques enhance the efficiency and effectiveness of the LHS cycle.
  • Successful LHS implementation requires attention to organizational culture and governance.

Conclusions:

  • Informatics and data science are indispensable for realizing the potential of learning health systems.
  • Addressing challenges in governance and culture is key for future LHS development.
  • Continued research is needed to optimize LHS operations and impact.