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- Creators: Dean, W.P. Carey School of Business
This study examines patient care in the SHOW free clinic in Phoenix, Arizona, which serves adults experiencing homelessness. This study asks two questions: First, do clinicians in Phoenix’s SHOW free clinic discuss with patients how to pay for and where to access follow-up services and medications? Second, how do the backgrounds of patients, measured by scales based on the Gelberg-Anderson behavioral model for vulnerable populations, correlate with patient outcomes, including number of unmet needs in clinic, patient satisfaction with care, and patient perceived health status? To answer these questions, structured surveys were administered to SHOW clinic patients at the end of their visits. Results were analyzed using Pearson’s correlations and odds ratios. 21 patients completed the survey over four weeks in February-March 2017. We did not identify any statistically significant correlations between predisposing factors such as severity/duration of homelessness, mental health history, ethnicity, or LGBTQ status and quality of care outcomes. Twenty nine percent of surveyed patients reported having one or more unmet needs following their SHOW clinic visit suggesting an important area for future research. The results from this study indicate that measuring unmet needs is a feasible alternative to patient satisfaction surveys for assessing quality of care in student-run free clinics for homeless populations.
The purpose of this paper is to discuss the history of artificial intelligence (AI) and its future implications in the healthcare industry. Utilizing information from research and medical journals, this paper will examine the foundations of AI and the people and events that influenced its development. Further, the various subsets of AI and its use in contemporary life will be discussed. While the technological evolution of AI will be discussed, this paper is not a technical treatise on the inner workings of AI software and technology, rather, it is a basic history of the development of AI and its respective subsets, and a look at current and potential future applications of AI. This information will be applied to the healthcare industry to discuss the history of AI in this field, detailing how AI was developed to find innovative solutions to complex medical problems. Finally, future prospects of AI in the medical industry will be discussed, explaining potential applications of this technology as well as various challenges and implications.