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Categorical Data Contributed to SHARE by Arkansas Facilities
The State Health Alliance Record Exchange (SHARE) is a state-wide health information exchange that allows healthcare providers to have immediate access to patient information to make better-informed treatment decisions. It gives healthcare providers a more complete understanding of their patients’ health, which could ultimately result in avoiding unnecessary hospital readmissions, preventing medication errors, improving diagnoses, avoiding duplicate testing, and lowering patient care costs. The data that is contributed through SHARE is categorized into admission/ discharge/ transfer (or ADT), laboratory results, LabCorp specific laboratory results, radiology reports, transcription documents such as progress notes, discharge summary, and patient notes, and continuity of care documents (or CCDs) which may contain lab, radiology, discharge summaries, and progress notes.
This research analyzes the categorical data that is contributed to SHARE by facilities in Arkansas to date as of September 2023. A descriptive approach was utilized to describe the categorical data contributed to SHARE through measures of central tendency. Tertiary data was gathered from SHARE’s website and SHARE’s HIT Policy Director, Justin Villines on 2,529 Arkansas facilities. The question that this research aims to answer is: What are the measures of central tendency of the categorical data contributed to SHARE by Arkansas facilities to date as of September 2023?
The results show that the mode of data contributed to SHARE by Arkansas facilities is the category Admission/ Discharge/ Transfer from 2,500 facilities, the median of data contributed is the categories Lab Results from 988 facilities and Transcription Documents from 989 facilities, and the mean of data contributed is by 1,298 Arkansas facilities.
This study generates an awareness of categorical data contributed to SHARE by Arkansas facilities specifically. This could impact health information management documentation processes or standards by bringing focus to certain types of data based on the measures of central tendency of what is being contributed
Student Engagement and Learning Theories in a Low-income Middle School Classroom
This research was focused on the topic of the impact of various learning theories on student engagement in the context of a low-income middle school. The question that this research aimed to answer was Within the context of a low socioeconomic region, does the implementation of cognitive learning theory, behaviorism, or humanism enhance student engagement and sense of belonging in a middle school classroom? This study was broken up into four separate lessons implemented in a 7th grade math class. Each lesson was characterized by the learning theory implemented. The first lesson served as a control lesson (no theories implemented) this was also our pre-test. The post-test consisted of our three learning theories: cognitive learning theory (CLT), behaviorism, and humanism. The remaining three lessons each focused on one of the learning theories mentioned. Through the implementation of three different learning theories, we see that the lesson implementing behaviorism was most enjoyed by the students, and the students also claimed to have learned the most from this lesson as well. However, the lesson that received the highest average grade on the formative assessment came from the lesson that implemented humanism. While students may not have had the most fun during this lesson, they were able to absorb and apply the information taught in this lesson. While there may not be a clear answer on which theory increases student engagement and sense of belonging in the classroom, it is clear that engagement is found through a balance of student enjoyment and academic success. The results also indicate that class enjoyment does not always equate to academic success
Carbon Sequestration and Its Role in Mitigating Climate Change
Carbon sequestration is when carbon dioxide is stored in ecosystems like grasslands forests, soils and oceans. Wetlands are one of the many important ecosystems that sequester carbon and act as a carbon sink. The U.S. Energy Information Administration estimates that in 2019 33,621.5 million metric tons of carbon were released into the atmosphere globally, due to human emissions. Anthropogenic carbon emissions have rapidly increased over the past 150 years. Since 1982, The global rate of warming is more than three times as fast, currently rising 0.36 degrees Fahrenheit each decade, and the rate will continue to increase. How do wetlands store this carbon? In non-wetland ecosystems, dead roots can decompose quickly, because they are exposed to readily available oxygen. Since wetland soils are saturated, Roots that die decompose slowly while new roots grow. The inability to decompose these roots and other organic material leads to the accumulation of organic matter in the soil and Carbon makes up around 50 percent of this organic matter. Preserving our current wetlands and reflooding previously drained wetlands will assist in mitigating climate control. While wetlands only occupy about 4-6% of earth\u27s surface they are responsible for storing 20-30% of the world\u27s carbon. Wetlands act as a natural solution to the current increasing carbon emissions. They also provide habitat for many species of plants and animals as well as providing flood control and preventing erosion. Preserving our current wetlands and restoring previously drained wetlands will provide more ecosystems where carbon can be stored and decrease atmospheric carbon that contributes to climate change. Restoration of wetland ecosystems will slow the rate of climate change as we find more solutions to our carbon emissions
Legal and Ethical concerns within Emergency Management
Emergency management involves a complex interplay of logistical, social, and ethical considerations, with legal frameworks guiding actions at every stage. This research investigates the ethical and legal challenges inherent in the four phases of emergency management: mitigation, preparedness, response, and recovery. Through a multi-method approach including literature review, case studies with comparative analysis, this study aims to clarify the intersection of ethical and legal issues in emergency management and propose practical strategies for addressing these challenges.
In the mitigation phase, equitable resource allocation, environmental sustainability, and transparent decision-making emerge as key ethical concerns, while legal frameworks dictate compliance with regulations and standards. Preparedness efforts raise questions of informed consent, privacy rights, and accessibility, necessitating careful balancing of public safety with individual liberties. During the response phase, ethical considerations such as duty of care, resource allocation, and crisis communication intersect with legal mandates to ensure effective and equitable emergency response. In the recovery phase, issues of social equity, long-term consequences, and community engagement emerge as critical ethical and legal challenges.
This research proposes strategies that integratehe ethical principles and legal requirements across the four phases of emergency management, offering guidance for practitioners and policymakers. By examining real-world case studies, this study seeks to enhance understanding of the ethical and legal dimensions of emergency management and promote more effective and ethically sound approaches to disaster preparedness, response, and recovery. Ultimately, this research aims to contribute to the development of more resilient and ethical emergency management practices, fostering safer and more equitable communities in the face of future crise
The Examination of the Relationship Social Media Usage and Self-Diagnosis of Mental Disorders
Abstract
This research examines the relationship between algorithmic social media platforms and self-diagnosis of mental disorders. Looking specifically at psychopathology, the enhancements and pioneering of new algorithmic social media platforms have made the facilitation of forged disorders and exaggerated symptoms quickly widespread. The most notable example, Dissociative Identity Disorder (DID), has led a plethora of youth to self-diagnose and romanticize one of the most serious and rare mental health disorders recognized by the APA (Hatigan et al., 2023). This becomes increasingly problematic because it diminishes the severity and urgency for those who are clinically diagnosed with DID. To investigate the relationship between social media use and self-diagnosis, Arkansas Tech University students (N =238) completed a survey regarding their social media use, knowledge of psychopathology, and their tendency to engage in self-diagnosis. Results indicate social media usage contributes to an increased tendency to self-diagnose and attempt to diagnose others. The perceived validity of psychopathological information being spread online is positively correlated to self-diagnosis and diagnosing others. The rise of algorithmic social media and subsequent self-diagnosis is quickly becoming a public health concern and has practical ramifications in counseling and clinical settings.
Keywords: psychopathology, self-diagnosis, social media, mental health, college student
Hybrid PV-TEG System
This research is focused on an innovative approach to improving the efficiency of a well- established renewable energy source. Solar cells are becoming more prominent as the power industry is shifting towards using more clean energy sources. Photovoltaic (PV) solar cells can only absorb a portion of the irradiance spectrum. The portion that is not absorbed raises the temperature of the system. The efficiency of PV cells drastically decreases as the temperature of the module rises and more energy is lost in the form of heat waste. Thermoelectric generator (TEG), when combined with PV cell, thrives off of the PV cell’s drawbacks in output efficiency. By attaching an array of TEG to the back of a PV cell, the heat waste will be converted into energy. As the heat waste is repurposed, the solar cell will be cooled, and the efficiency boosted. With the hybrid system having a higher efficiency than a standalone PV cell, there will be an increase in motivation to use this renewable energy source
Ambulatory Electrocardiographic Monitoring
•Cardiovascular disease (CVD) is the world\u27s leading cause of death, especially prevalent in low- and middle-income countries. Up to 80% of premature heart attacks and strokes are preventable. •Current ambulatory electrocardiographic (ECG) monitors, while effective in diagnosing heart rhythm issues, are often cost-prohibitive and have limitations like short monitoring periods, user-initiated recording, and offline data analysis. •This poster summarizes the foundation of the creation of a monitoring system that attempts to address these issues
Inferring and Explaining
Review of OER Philosophy textbook by Jeffery L. Johnson, available at https://open.umn.edu/opentextbooks/textbooks/66
Introduction to Qualitative Research Methods
Review of OER Research Methods textbook by Allison Hurst, available at https://open.oregonstate.education/qualresearchmethods
Fundamentals of Public Speaking
Review of OER Communications textbook by Mary Lee Cunill, available at https://fscj.pressbooks.pub/publicspeaking