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- All Subjects: healthcare
- Creators: Barrett, The Honors College
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
The health disparities between rural and urban communities in the United States are not uniquely American. This rural-urban divide in health outcomes is present across the world and, closer to home, across North America. In addition to reviewing the current literature surrounding barriers to health and healthcare access in the United States, we will also use southern neighbor Mexico’s history and their pursuit of rural equity (universally and in health/healthcare access) to contrast initiatives that the U.S. has attempted, with the intent of exploring new theories of rural healthcare provision. By combining the history of social medicine in Mexico with literature on barriers to healthcare access, I hope to highlight areas of innovation and improvement in the American health care delivery system.
The purpose of this paper is to review the current literature regarding health disparities among rural Americans, possible causes of such disparities and current strategies to improve health, healthcare access and healthcare quality in rural America in order to recommend the most effective, practical solutions to improve rural mortality, morbidity and quality of life.
Quantum computing is an emerging and promising alternative to classical computing due to its ability to perform rapidly complex computations in a parallel manner. In this thesis, we aim to design an audio classification algorithm using a hybrid quantum-classical neural network. The thesis concentrated on healthcare applications and focused specifically on COVID-19 cough sound classification. All machine learning algorithms developed or implemented in this study were trained using features from Log Mel Spectrograms of healthy and COVID-19 coughing audio. Results are first presented from a study in which an ensemble of a VGG13, CRNN, GCNN, and GCRNN are utilized to classify audio using classical computing. Then, improved results attained using an optimized VGG13 neural network are presented. Finally, our quantum-classical hybrid neural network is designed and assessed in terms of accuracy and number of quantum layers and qubits. Comparisons are made to classical recurrent and convolutional neural networks.
The United States spends far more on healthcare than other developed countries, and it is increasing at a rapid pace that places intense financial pressure on the American public. The high levels of spending are not attributable to increased quality of care or a healthier general population. Rather, the culprits are a combination of uniquely American social and cultural factors that increase the prevalence of chronic illness coupled with a large and complex healthcare industry that has a multitude of stakeholders, each with their own motivations and expense margins that inflate prices. Additionally, rampant lack of transparency, overutilization and low-quality care contribute to unnecessarily frequent and expensive payments. Public and private institutions have implemented legislation and programs that provide temporary relief, but powerful lobbying efforts by healthcare-related organizations and a general American aversion to high government involvement have prevented the United States from creating effective, long-lasting reform.
In the US, underrepresented racial and ethnic minorities receive less than adequate health care in comparison to White Americans. This is attributed to multiple factors, including the long history of structural racism in the US and in the medical field in particular. A factor that is still prevalent today is the lack of diversity within the healthcare workforce. Racial and ethnic minorities are underrepresented in most healthcare occupations. Moreover, many physicians may continue to harbor implicit biases that may interfere with giving adequate care to patients of different backgrounds. We propose that diversity in healthcare should be increased through educational programs and a revamp of existing systems such as medical schools. The increased diversity would mitigate some of the health disparities that exist amongst minorities, as medical professionals are more likely to give adequate care to those who are members of the same community. Increased diversity would also help to increase the cultural competency of physicians as a whole.