Master of Education (MEd), Bowling Green State University, 2011, Career and Technology Education/Technology

As the need for educating traditional and non-traditional students increases and budgets decrease, the demand for higher education institutions to implement creative ways to provide effective customer service to students has never been more critical. This research studied the potential implementation of an Agent for Interactive Student Assistance (AISA) application in Bowling Green State University's (BGSU's) College of Technology and its impact on student engagement and recruitment. AISA is defined as an interactive, human-like, avatar-based online student assistance application with voice and text recognition that provides answers to students' administrative-related most frequently asked questions. The avatar-based application would provide cognitive responses using voice and non-verbal communication with a 90% accuracy rate. BGSU College of Technology undergraduate and graduate students during the 2009/2010 and 2010/2011 academic years were the population of this study consisting of 940 students. The approach of this study was quantitative, post positivist with an expected outcome in the form of an alternate hypothesis tested against a null hypothesis. One survey was administered to the population with a response rate of 9%. Favorable results were found with 91% of students indicating they would or may use an AISA application if provided the opportunity. One proportion z tests showed that, overall, students would not experience a negative impact on engagement and BGSU's College of Technology would not experience a decrease in new students.

Committee: Terry Herman PhD (Committee Chair); Gary Benjamin PhD (Committee Member); Anthony Fontana (Committee Member) Subjects: Education; Educational Technology

Doctor of Philosophy, Case Western Reserve University, 2022, Systems Biology and Bioinformatics

Delirium has the highest occurrence rate of any complication in hospitalized adults over the age of 65. The study objective was to determine healthcare providers' current issues and challenges in delirium prevention to be used in the development of the Automated Delirium Assessment and Management System (ADAMS). We used a mixed-methods approach to collect valuable information and evaluate the knowledge and practices of healthcare providers. Ninety-seven healthcare professionals from medical and surgical wards were surveyed to determine their beliefs and perceptions. The majority of providers affirmed that current delirium protocols are helpful; however, existing screening instruments and methods for documentation are cumbersome, resulting in incomplete or limited documentation of episodes. These barriers lead to an understatement of the evidence available for continuous improvement of the patient management process. Subsequently, focus groups were conducted with 10 healthcare providers to derive a deeper understanding of the phenomenon, gauge interest, and discuss further current challenges and assessments. Thematic analysis revealed the following four main themes: (1) Factors impacting pharmacological and non-pharmacological delirium interventions, (2) Electronic medical record (EMR) experiences and concerns, (3) Delirium patients' experiences; and (4) Healthcare providers' perceptions of technology. Our focus group discussions revealed the importance of a more streamlined approach to assessing and managing delirium in critically ill elderly patients. Education of healthcare providers must take a more inter-professional approach, emphasizing the importance of sharing personal stories as well as the importance of documenting delirium assessments to enhance communication. The overall conceptual framework of our intervention (ADAMS) was based on the Donabedian quality assurance approach that takes into consideration three dimensions of quality care: structure, proces (open full item for complete abstract)

Committee: Colin Drummond (Advisor); Gurkan Bebek (Committee Chair); Denise Kresevic (Committee Member); Andrew Shoffstall (Committee Member); Siran Koroukian (Committee Member) Subjects: Aging; Health Care; Information Technology

Master of Science (MS), Wright State University, 2019, Computer Science

Asthma, chronic pulmonary disease, is one of the major health issues in the United States. Given its chronic nature, the demand for continuous monitoring of patient's adherence to the medication care plan, assessment of their environment triggers, and management of asthma control level can be challenging in traditional clinical settings and taxing on clinical professionals. A shift from a reactive to a proactive asthma care can improve health outcomes and reduce expenses. On the technology spectrum, smart conversational systems and Internet-of-Things (IoTs) are rapidly gaining popularity in the healthcare industry. By leveraging such technological prevalence, it is feasible to design a system that is capable of monitoring asthmatic patients for a prolonged period and empowering them to manage their health better. In this thesis, we describe kBot, a knowledge-driven personalized chatbot system designed to continuously track medication adherence of pediatric asthmatic patients (age 8 to 15) and monitor relevant health and environmental data. The outcome is to help asthma patients self manage their asthma progression by generating trigger alerts and educate them with various self-management strategies. kBOT takes the form of an Android application with a frontend chat interface capable of conversing both text and voice-based conversations and a backend cloud-based server application that handles data collection, processing, and dialogue management. The domain knowledge component is pieced together from the Asthma and Allergy Foundation of America, Mayoclinic, and Verywell Health as well as our clinical collaborator. Whereas, the personalization aspect is derived from the patient's history of asthma collected from the questionnaires and day-to-day conversations. The system has been evaluated by eight asthma clinicians and eight computer science researchers for chatbot quality, technology acceptance, and system usability. kBOT achieved an overall technology acceptance (open full item for complete abstract)

Committee: Amit Sheth Ph.D. (Advisor); Krishnaprasad Thirunarayan Ph.D. (Committee Member); Valerie Shalin Ph.D. (Committee Member); Maninder Kalra M.D., Ph.D. (Committee Member) Subjects: Computer Science; Health Care Management; Information Technology