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Structuring and Visualizing Healthcare Claims Data Using Systems Architecture Methodology.

Inas S Khayal1, Weiping Zhou2, Jonathan Skinner3

  • 1Faculty of the Dartmouth Institute of Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, and the Computer Science Faculty, Dartmouth College, Lebanon, NH 03766, USA.

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Summary
This summary is machine-generated.

Healthcare systems face a crisis, necessitating transformation. This study introduces a novel systems architecture approach to structure and visualize complex healthcare delivery data for better understanding and improved patient outcomes.

Keywords:
Health informaticsdata analyticshealthcare delivery systemsystems architecturesystems thinking

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Area of Science:

  • Systems Science
  • Healthcare Delivery Systems
  • Biomedical Engineering

Background:

  • Global healthcare systems are experiencing a crisis, marked by the need to improve health outcomes while reducing costs.
  • Traditional reductionist scientific approaches are insufficient for analyzing the complexity of healthcare delivery.
  • Bioinformatics and Biomedical Engineering have historically focused on biological data and technology, overlooking care delivery's impact.

Purpose of the Study:

  • To address the limitations of current healthcare system analysis by applying systems science methodologies.
  • To develop a novel method for structuring and visualizing multi-dimensional and multi-scale healthcare delivery data.
  • To create a foundational Healthcare Delivery System Knowledge Base for enhanced understanding of care delivery.

Main Methods:

  • Utilizing systems science and systems engineering principles to structure healthcare delivery system data.
  • Applying systems architecture to develop a multi-scale and multi-dimensional characterization of the healthcare delivery system.
  • Developing a new method for visualizing the complex structure of healthcare delivery.

Main Results:

  • Successfully structured healthcare delivery system data using systems architecture.
  • Developed a multi-dimensional and multi-scale characterization of the healthcare delivery system.
  • Created a novel method for visualizing the healthcare delivery system, termed the Healthcare Delivery System Knowledge Base.

Conclusions:

  • The proposed systems architecture method provides a new way to understand and visualize complex healthcare delivery systems.
  • This approach is crucial for transforming healthcare delivery to improve patient outcomes and manage costs effectively.
  • This work pioneers the use of systems architecture for a comprehensive characterization of healthcare delivery systems.