Pilot study: agent-based exploration of complex data in a hospital environment

Authors:
Ted Carmichael;Mirsad Hadzikadic;Ognjen Gajic
Affiliations:
University of North Carolina at Charlotte, College of Computing and Informatics, Charlotte, North Carolina;University of North Carolina at Charlotte, College of Computing and Informatics, Charlotte, North Carolina;Mayo Clinic, Rochester, Minnesota
Venue:
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
Year:
2010

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Abstract

We present the results of a pilot study created to explore a subset of complex data, utilizing an agent-based model simulation tool. These results center on data taken from hospital admission records, tracking patient attributes and how they relate to patient outcomes. The focus of this work is to highlight three design principles: 1) using an iterative process between the modeling of a system and the grounding of that simulation with real-world data; 2) a focus on agent primitives, emphasizing bottom-up emergence of effects, rather than top-down control; and 3) integration of various "theories" of patient care and hospital effectiveness as a method for experimentation with Complex Adaptive System-based data mining.