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Diabetes education has shown to improve diabetes health markers but there is a need for it to be more accessible Diabetes education in the form of Diabetes Self Education and Management (DSMES) could potentially utilize IT technologies, which have shown promise as a more accessible way to access healthcare and

Diabetes education has shown to improve diabetes health markers but there is a need for it to be more accessible Diabetes education in the form of Diabetes Self Education and Management (DSMES) could potentially utilize IT technologies, which have shown promise as a more accessible way to access healthcare and manage health. However, both these methods have not been optimized for the diverse population in the US. In particular, Chinese Americans are a growing minority group in America whose health needs such as diabetes type 2 are growing. As a cultural group, Chinese Americans have cultural characteristics that have been identified in the literature, which should be accounted for in the design of a technology-enabled DSMES program. This qualitative study aims to understand what ways Chinese Americans with type 2 diabetes are learning about and managing diabetes, as well as their technology usage. Themes such as cultural food importance, family roles, information acquisition, and attitudes and motivation emerged. Themes motivated the design implications and recommendations such as creating a more specified, culturally tailored Chinese food menu, integrated family features, and trackers with increased feedback. More research should be conducted to test the effectiveness of including these features in a technology-enabled DSMES program.

ContributorsWong, Margaret Eda (Author) / Chiou, Erin (Thesis director) / Pine, Kathleen (Committee member) / Human Systems Engineering (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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This paper explores the technological systems used by Arizona State University’s Housing department during the course of 2020-2021 and 2021-2022 school years at the height of the COVID-19 pandemic which struck the state of Arizona. The COVID-19 epidemic is the largest pandemic in recent memory. It has affected all walks

This paper explores the technological systems used by Arizona State University’s Housing department during the course of 2020-2021 and 2021-2022 school years at the height of the COVID-19 pandemic which struck the state of Arizona. The COVID-19 epidemic is the largest pandemic in recent memory. It has affected all walks of life, from social economic damages, widespread panic and the rise of civil unrest. One of the most profound effects from this generation of students is the impact it has had in all levels of education from kindergarten to graduate school. The American education system has been heavily affected since the pandemic first started. Due to the lockdowns, traditional education practices such as in-person classrooms, class labs, and even the psychological impact of physical distancing has affected students’ educational experiences. This disruption has also greatly affected our college system. In response to problems such as the lockdowns, slow rate of infections per student, many colleges have made extensive use of technological aids, substitutes, and systems to combat the damage done to the education system. This resulted in switching of in-person course work to online based assignments and tests. The colleges response to the pandemic has not only been online, but in-person as well. ASU has adopted a variety of systems to track its students’ and employees’ health statuses. This is done via the use of the Daily Heath Check System (an application used by ASU to track the health of both students and faculty), and the use of randomized testing. This enabled the tracking and monitoring of the rate of infections within the ASU community. ASU has also installed hand sanitizer machines in every building as well as providing a supply of health and safety equipment to necessary staff. These systems, products, and preventative practices have been put into place for the protection of not only the students but employees of ASU. However, one key consideration about the adoption of these measures, is whether or not they are truly effective. One of the areas explored are the problems with the adoption of these systems and how they were implemented. Meaning that these systems adopted resulted in either less then successful outcomes or causing student displeasure towards the systems that were implemented.

ContributorsGalindez, Jonah (Author) / Chiou, Erin (Thesis director) / Roscoe, Rod (Committee member) / Barrett, The Honors College (Contributor) / Human Systems Engineering (Contributor)
Created2021-12
Description

I compared scores of situational awareness to mission performance scores from the Human-Robot Interaction Lab at the ASU campus. This study uses Roblox in a virtual environment to simulate a search and rescue environment. Higher situational awareness was seen to be positively correlated with mission performance scores, but the study

I compared scores of situational awareness to mission performance scores from the Human-Robot Interaction Lab at the ASU campus. This study uses Roblox in a virtual environment to simulate a search and rescue environment. Higher situational awareness was seen to be positively correlated with mission performance scores, but the study is yet to be complete.

ContributorsHartman, Miles (Author) / Cooke, Nancy (Thesis director) / Chiou, Erin (Committee member) / Barrett, The Honors College (Contributor) / Human Systems Engineering (Contributor)
Created2023-05
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The purpose of this review is to determine how to measure and assess human trust in medical technology. A systematic literature review was selected as the path to understand the landscape for measuring trust up to this point. I started by creating a method of systematically reading through related studies

The purpose of this review is to determine how to measure and assess human trust in medical technology. A systematic literature review was selected as the path to understand the landscape for measuring trust up to this point. I started by creating a method of systematically reading through related studies in databases before summarizing results and concluding with a recommended design for the upcoming study. This required searching several databases and learning each advanced search methods for each in order to determine which databases provided the most relevant results. From there, the reader examined the results, keeping track in a spreadsheet. The first pass through filtered out the results which did not include detailed methods of measuring trust. The second pass took detailed notes on the remaining studies, keeping track of authors, participants, subjects, methods, instruments, issues, limitations, analytics, and validation. After summarizing the results, discussing trends in the results, and mentioning limitations a conclusion was devised. The recommendation is to use an uncompressed self-reported questionnaire with 4-10 questions on a six-point-Likert scale with reversing scales throughout. Though the studies analyzed were specific to medical settings, this method can work outside of the medical setting for measuring human trust.
ContributorsGaugler, Grady (Author) / Chiou, Erin (Thesis director) / Craig, Scotty (Committee member) / Dean, Herberger Institute for Design and the Arts (Contributor) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Electronic Health Records (EHRs) began to be introduced in the 1960s. Government-run hospitals were the primary adopters of technology. The rate of adoption continually rose from there, doubling from 2007 to 2012 from 34.8% to about 71%. Most of the growth seen from 2007 to 2012 is a result of

Electronic Health Records (EHRs) began to be introduced in the 1960s. Government-run hospitals were the primary adopters of technology. The rate of adoption continually rose from there, doubling from 2007 to 2012 from 34.8% to about 71%. Most of the growth seen from 2007 to 2012 is a result of the passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act as part of the American Reinvestment and Recovery (ARRA) Act. $19 billion dollars were made available as part of these two acts to increase the rate of Health Information Technology (HIT), of which EHRs are a large part. A national health information network is envisioned for the end stages of HITECH which will enable health information to be exchanged immediately from one health network to another. While the ability to exchange data quickly appears to be an achievable goal, it might come with the cost of loss of usability and functionality for providers who interact with the EHRs and often enter health data into an EHR. The loss of usability can be attributed to how the EHR was designed.
ContributorsRobinson, Lillie Elizabeth (Author) / Doebbeling, Bradley (Thesis director) / Chiou, Erin (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Rapid advancements in Artificial Intelligence (AI), Machine Learning, and Deep Learning technologies are widening the playing field for automated decision assistants in healthcare. The field of radiology offers a unique platform for this technology due to its repetitive work structure, ability to leverage large data sets, and high position for

Rapid advancements in Artificial Intelligence (AI), Machine Learning, and Deep Learning technologies are widening the playing field for automated decision assistants in healthcare. The field of radiology offers a unique platform for this technology due to its repetitive work structure, ability to leverage large data sets, and high position for clinical and social impact. Several technologies in cancer screening, such as Computer Aided Detection (CAD), have broken the barrier of research into reality through successful outcomes with patient data (Morton, Whaley, Brandt, & Amrami, 2006; Patel et al, 2018). Technologies, such as the IBM Medical Sieve, are growing excitement with the potential for increased impact through the addition of medical record information ("Medical Sieve Radiology Grand Challenge", 2018). As the capabilities of automation increase and become a part of expert-decision-making jobs, however, the careful consideration of its integration into human systems is often overlooked. This paper aims to identify how healthcare professionals and system engineers implementing and interacting with automated decision-making aids in Radiology should take bureaucratic, legal, professional, and political accountability concerns into consideration. This Accountability Framework is modeled after Romzek and Dubnick’s (1987) public administration framework and expanded on through an analysis of literature on accountability definitions and examples in military, healthcare, and research sectors. A cohesive understanding of this framework and the human concerns it raises helps drive the questions that, if fully addressed, create the potential for a successful integration and adoption of AI in radiology and ultimately the care environment.
ContributorsGilmore, Emily Anne (Author) / Chiou, Erin (Thesis director) / Wu, Teresa (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description

Patient identification is becoming more crucially important, particularly as healthcare is becoming more data based and automated. Patient misidentification can cause a series of issues that affect patient safety and the quality of care, including increased time and money from the medical institution. Additionally, with the lack of standardization for

Patient identification is becoming more crucially important, particularly as healthcare is becoming more data based and automated. Patient misidentification can cause a series of issues that affect patient safety and the quality of care, including increased time and money from the medical institution. Additionally, with the lack of standardization for identifying patients, interoperability is limited and Health Information Exchange cannot be optimized, One partial solution to the problem would be the implementation of a Unique Patient Identifier system; however, the United States has had some controversy over the implementation of such as system in the past as Congress prohibited any funding from going towards a UPI system in 1998 after HIPAA introduced a Unique Patient Identifier mandate in 1996. However, with more than 2 decades passing since the Congressional ban, the general American perception of Unique Patient Identifiers is not well known. This study attempts to answer the question of the current American perception of the implementation of a UPI system through an informational survey that induces critical thinking when answering qualitative questions with supportive quantitative questions. Participants were generally in favor of the implementation of a UPI system, and through a Chi-square analysis, it was shown that there was an association between knowledge learned about Unique Patient Identifiers in relation to the current identification system and developing a positive perception towards UPI implementation; however, this study cannot be generalized to the public as the sample size was not large enough and was not representative of the entire population. Still, future research should be conducted in relation to this subject as UPIs are a potential solution to our current “identity crisis”.

ContributorsWeaver Salazar, Kambíz (Author) / Chiou, Erin (Thesis director) / Roscoe, Rod (Committee member) / O'Keefe, Kelly (Committee member) / Barrett, The Honors College (Contributor) / Human Systems Engineering (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2022-05