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Inspired by "A Work-Centered Approach to System User-Evaluation" by Roth (2021) and UX design principles, this thesis project aims to determine the usability levels of the ASU Class Search System to locate pain points and provide appropriate recommendations. The ASU class search system allows students to complete the necessary tasks, but the user experience is frustrating due to unnecessary scrolling, clicking, and searching. The user evaluation confirms that some improvements could be made to the class search system to improve its utility and usability. The main improvements suggested in this work address filter and navigation inconsistencies, an overwhelming amount of scroll real estate, minor design inconsistencies, minor jargon and content inconsistencies, scroll stoppers, and guide support.
This thesis is based on the hypothesis that an electronic version of code blue real-time data capture would lead to improved resuscitation data transcription, and enable clinicians to address deficiencies in quality of care. The primary goal of this thesis is to create an iOS based application, primarily designed for iPads, for code blue events at the Mayo Clinic Hospital. The secondary goal is to build an open-source software development framework for converting paper-based hospital protocols into digital format.
The tool created in this study enabled data documentation to be completed electronically rather than on paper for resuscitation outcomes. The tool was evaluated for usability with twenty nurses, the end-users, at Mayo Clinic in Phoenix, Arizona. The results showed the preference of users for the iPad application. Furthermore, a qualitative survey showed the clinicians perceived the electronic version to be more accurate and efficient than paper-based documentation, both of which are essential for an emergency code blue resuscitation procedure.