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Structuring and Visualizing Healthcare Claims Data Using Systems Architecture Methodology

Authors: Inas S. Khayal, Weiping Zhou, Jonathan Skinner

Abstract:

Healthcare delivery systems around the world are in crisis. The need to improve health outcomes while decreasing healthcare costs have led to an imminent call to action to transform the healthcare delivery system. While Bioinformatics and Biomedical Engineering have primarily focused on biological level data and biomedical technology, there is clear evidence of the importance of the delivery of care on patient outcomes. Classic singular decomposition approaches from reductionist science are not capable of explaining complex systems. Approaches and methods from systems science and systems engineering are utilized to structure healthcare delivery system data. Specifically, systems architecture is used to develop a multi-scale and multi-dimensional characterization of the healthcare delivery system, defined here as the Healthcare Delivery System Knowledge Base. This paper is the first to contribute a new method of structuring and visualizing a multi-dimensional and multi-scale healthcare delivery system using systems architecture in order to better understand healthcare delivery.

Keywords: Health informatics, systems thinking, systems architecture, healthcare delivery system, data analytics.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131770

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References:


[1] A. Case and A. Deaton, “Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century,” Proceedings of the National Academy of Sciences, vol. 112, no. 49, pp. 15 078–15 083, 2015.
[2] A. Alwan, Global status report on noncommunicable diseases. Geneva, Switzerland: World Health Organization, 2010.
[3] C. f. M. &. M. Service, “National Health Expenditures 2013 Highlights,” Centers for Medicare & Medicaid Services, Office of the Actuary, National Health Statistics Group, Tech. Rep., 2013.
[4] Institute of Medicine (U.S.), “Best Care at Lower Cost: The Path to Continuously Learning Health Care in America,” Tech. Rep., 2012.
[5] P. Proctor, W. Compton, J. H. Grossman, and G. Fanjiang, Building a Better Delivery System: A New Engineering/Health Care Partnership. National Academies Press, 2005.
[6] D. M. Buede, The engineering design of systems: models and methods. John Wiley & Sons, 2011, vol. 55.
[7] Wiley, INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities. John Wiley & Sons, 2015.
[8] I. Khayal and A. M. Farid, “Axiomatic Design Based Human Resources Management for the Enterprise Transformation of the Abu Dhabi Healthcare Labor Pool,” Journal of Enterprise Transformation, vol. 5, no. 3, pp. 162–191, 2015.
[9] A. M. Farid, “Reconfigurability measurement in automated manufacturing systems,” Ph.D. dissertation, University of Cambridge, 2007.
[10] A. M. Farid and D. C. McFarlane, “Production degrees of freedom as manufacturing system reconfiguration potential measures,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 222, no. 10, pp. 1301–1314, 2008.
[11] A. M. Farid, “Product Degrees of Freedom as Manufacturing System Reconfiguration Potential Measures,” International Transactions on Systems Science and Applications – invited paper, vol. 4, no. 3, pp. 227–242, 2008.
[12] “Static Resilience of Large Flexible Engineering Systems : Axiomatic Design Model and Measures,” IEEE Systems Journal (in press), vol. PP, no. 99, pp. 1–12, 2015.
[13] “An Axiomatic Design Approach to Non-Assembled Production Path Enumeration in Reconfigurable Manufacturing Systems,” in 2013 IEEE International Conference on Systems Man and Cybernetics, Manchester, UK, 2013, pp. 1–8.
[14] A. M. Farid and L. Ribeiro, “An Axiomatic Design of a Multi-Agent Reconfigurable Mechatronic System Architecture,” IEEE Transactions on Industrial Informatics, vol. 11, no. 5, pp. 1142–1155, 2015.
[15] W. C. Schoonenberg and A. M. Farid, “A Dynamic Energy Management Model for Microgrid-Enabled Production Systems,” IEEE Transactions on Industrial Informatics (under revision), vol. 1, no. 1, pp. 1–7, 2016.
[16] J. E. Wennberg, The Dartmouth Atlas of Health Care in the United States (incl. Diskette). American Hospital Association, 1996.
[17] J. E. Wennberg, E. S. Fisher, and J. S. Skinner, “Geography and the debate over medicare reform,” Health Affairs, p. W96, 2003.
[18] J. Weaver, “Feds break up $1 billion Medicare scam in Miami biggest in U.S. history,,” Miami, jul 2016.