Programs and Communities
The collection collates collections by schools, centers, programs, and research groups.
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- All Subjects: Computer programs--Tournaments
- All Subjects: Quality Improvement
- All Subjects: Land use
Methods: At an urban primary care pediatric office located in the southwestern US, an educational quality improvement project for healthcare practice providers and front office staff was conducted to increase the utilization of the existing EMR-linked patient portal. The healthcare providers were asked to complete a pre- and post- survey evaluation of their knowledge and usage of the patient portal. Provider and patient portal data usage was collected over a five-month period, September 2019 to January 2020.
Results: Data was analyzed using the Intellectus Statistics softwareTM. Significant results were found at the conclusion of the project in the number of active patient portal users, web-enabled, portal logins, labs published/viewed, messages sent, appointment reminders and Santovia utilization. At the end of the project no significance was found with messages received by the healthcare providers or staff through the patient portal. Survey results found significant differences between pre- and post- portal usage. No significance was found on providers’ knowledge on how to web-enable patients. Providers’ also demonstrated no significant change in their perceptions of the benefit in utilizing the portal in patient care after the educational intervention. Survey results allowed for additional analysis of commonly utilized portal functionalities, disease or health topics utilized in Santovia, and suggestions on how to make the use of the patient portal easier for providers.
Implications for Health Care Providers: This quality improvement project found that implementation an EMR-linked patient portal requires a comprehensive practice approach with structured education sessions. Including all employees can improve patient portal utilization. This educational project resulted in significant increases in most portal functionalities within 5 months. Further practice change evaluations are needed to evaluate how to improve patient portal utilization with a larger group of participants in a variety of outpatient settings.
Phoenix is the sixth most populated city in the United States and the 12th largest metropolitan area by population, with about 4.4 million people. As the region continues to grow, the demand for housing and jobs within the metropolitan area is projected to rise under uncertain climate conditions.
Undergraduate and graduate students from Engineering, Sustainability, and Urban Planning in ASU’s Urban Infrastructure Anatomy and Sustainable Development course evaluated the water, energy, and infrastructure changes that result from smart growth in Phoenix, Arizona. The Maricopa Association of Government's Sustainable Transportation and Land Use Integration Study identified a market for 485,000 residential dwelling units in the urban core. Household water and energy use changes, changes in infrastructure needs, and financial and economic savings are assessed along with associated energy use and greenhouse gas emissions.
The course project has produced data on sustainable development in Phoenix and the findings will be made available through ASU’s Urban Sustainability Lab.
This lesson plan was created by Prof. Katie Hinde, Arizona State University, using Next Generation Science Standards and explanations from the National Academies of Sciences, Engineering, and Medicine. 2012. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. Washington, DC: The National Academies Press. https://doi.org/10.17226/13165.
This lesson plan was created by Prof. Katie Hinde, Arizona State University, using Next Generation Science Standards and explanations from the National Academies of Sciences, Engineering, and Medicine. 2012. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. Washington, DC: The National Academies Press. https://doi.org/10.17226/13165.
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.
