Programs and Communities

The health care industry increasingly recognizes interprofessional collaboration (IPC) as the key to optimizing delivery of care, and interprofessional education (IPE) has been the foundational method for building IPC. When IPC is examined, leadership skills of the practitioners are often seen as a positive force for optimizing team performance. This project aimed to deliver an education session sharing interprofessional leadership (IPL) competencies and the effect they may have on attitudes toward IPC. A pilot was designed for a single site, a student run clinic in a large city in the Southwest United States, which serves as a learning laboratory to help future health practitioners grow IPC skills through effective and innovative IPE. A search of the available evidence supporting this project revealed that educational activities delivered to practitioners can build the leadership skills seen in effective IPC.

During the Fall 2017 semester, the education sessions were delivered to student practitioners at the clinic during their semester-long rotation. The University of the West of England Interprofessional Questionnaire, designed to measure self-assessment of attitudes toward collaborative learning and collaborative working, was deployed at the beginning and end of a semester-long rotation to all students working at the clinic to look for changes. A low sample size limited results to assessment of clinical significance, but showed some changes that could be significant if the project continues. Clinically significant changes show an increase in students’ rating of their own skills and preferences toward interprofessional practice. In keeping with the learning laboratory model at the clinic, these outcomes support continued delivery and examination of the education model with subsequent clinic rotations to strengthen the conclusions being drawn from the results.

Hybrid system models - those devised from two or more disparate sub-system models - provide a number of benefits in terms of conceptualization, development, and assessment of dynamical systems. The decomposition approach helps to formulate complex interactions that are otherwise difficult or impractical to express. However, hybrid model development and usage can introduce complexity that emerges from the composition itself.

To improve assurance of model correctness, sub-systems using disparate modeling formalisms must be integrated above and beyond just the data and control level; their composition must have model specification and simulation execution aspects as well. Poly-formalism composition is one approach to composing models in this manner.

This dissertation describes a poly-formalism composition between a Discrete EVent System specification (DEVS) model and a Cellular Automata (CA) model types. These model specifications have been chosen for their broad applicability in important and emerging domains. An agent-environment domain exemplifies the composition approach. The inherent spatial relations within a CA make it well-suited for environmental representations. Similarly, the component-based nature of agents fits well within the hierarchical component structure of DEVS.

This composition employs the use of a third model, called an interaction model, that includes methods for integrating the two model types at a formalism level, at a systems architecture level, and at a model execution level. A prototype framework using DEVS for the agent model and GRASS for the environment has been developed and is described. Furthermore, this dissertation explains how the concepts of this composition approach are being applied to a real-world research project.

This dissertation expands the tool set modelers in computer science and other disciplines have in order to build hybrid system models, and provides an interaction model for an on-going research project. The concepts and models presented in this dissertation demonstrate the feasibility of composition between discrete-event agents and discrete-time cellular automata. Furthermore, it provides concepts and models that may be applied directly, or used by a modeler to devise compositions for other research efforts.