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In the medical industry, there have been promising advances in the increase of new types of healthcare to the public. As of 2015, there was a 98% Premarket Approval rate, a 38% increase since 2010. In addition, there were 41 new novel drugs approved for clinical usage in 2014 where

In the medical industry, there have been promising advances in the increase of new types of healthcare to the public. As of 2015, there was a 98% Premarket Approval rate, a 38% increase since 2010. In addition, there were 41 new novel drugs approved for clinical usage in 2014 where the average in the previous years from 2005-2013 was 25. However, the research process towards creating and delivering new healthcare to the public remains remarkably inefficient. It takes on average 15 years, over $900 million by one estimate, for a less than 12% success rate of discovering a novel drug for clinical usage. Medical devices do not fare much better. Between 2005-2009, there were over 700 recalls per year. In addition, it takes at minimum 3.25 years for a 510(k) exempt premarket approval. Plus, a time lag exists where it takes 17 years for only 14% of medical discoveries to be implemented clinically. Coupled with these inefficiencies, government funding for medical research has been decreasing since 2002 (2.5% of Gross Domestic Product) and is predicted to be 1.5% of Gross Domestic Product by 2019. Translational research, the conversion of bench-side discoveries to clinical usage for a simplistic definition, has been on the rise since the 1990s. This may be driving the increased premarket approvals and new novel drug approvals. At the very least, it is worth considering as translational research is directly related towards healthcare practices. In this paper, I propose to improve the outcomes of translational research in order to better deliver advancing healthcare to the public. I suggest Best Value Performance Information Procurement System (BV PIPS) should be adapted in the selection process of translational research projects to fund. BV PIPS has been shown to increase the efficiency and success rate of delivering projects and services. There has been over 17 years of research with $6.3 billion of projects and services delivered showing that BV PIPS has a 98% customer satisfaction, 90% minimized management effort, and utilizes 50% less manpower and effort. Using University of Michigan \u2014 Coulter Foundation Program's funding process as a baseline and standard in the current selection of translational research projects to fund, I offer changes to this process based on BV PIPS that may ameliorate it. As concepts implemented in this process are congruent with literature on successful translational research, it may suggest that this new model for selecting translational research projects to fund will reduce costs, increase efficiency, and increase success. This may then lead to more Premarket Approvals, more new novel drug approvals, quicker delivery time to the market, and lower recalls.
ContributorsDel Rosario, Joseph Paul (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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The introduction of novel information technology within contemporary healthcare settings presents a critical juncture for the industry and thus lends itself to the importance of better understanding the impact of this emerging "health 2.0" landscape. Simply, how such technology may affect the healthcare system is still not fully realized, despite

The introduction of novel information technology within contemporary healthcare settings presents a critical juncture for the industry and thus lends itself to the importance of better understanding the impact of this emerging "health 2.0" landscape. Simply, how such technology may affect the healthcare system is still not fully realized, despite the ever-growing need to adopt it in order to serve a growing patient population. Thus, two pertinent questions are posed: is HIT useful and practical and, if so, what is the best way to implement it? This study examined the clinical implementation of specific instances of health information technology (HIT) so as to weigh its benefits and risks to ultimately construct a proposal for successful widespread adoption. Due to the poignancy of information analysis within HIT, Information Measurement Theory (IMT) was used to measure the effectiveness of current HIT systems as well as to elucidate improvements for future implementation. The results indicate that increased transparency, attention to patient-focused approaches and proper IT training will not only allow HIT to better serve the community, but will also decrease inefficient healthcare expenditure.
ContributorsMaietta, Myles Anthony (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor)
Created2015-05
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Exercise is a great boon to both the health of individuals and the national as a whole. Exercise provides a wide range of significant and well established benefits to both physical and psychological health, with many benefits that are still being discovered. The effects of exercise on health are somewhat

Exercise is a great boon to both the health of individuals and the national as a whole. Exercise provides a wide range of significant and well established benefits to both physical and psychological health, with many benefits that are still being discovered. The effects of exercise on health are somewhat unique, as exercise is one of a limited number of ways to improve health that is not harm a reduction strategy, but instead increases health through direct benefit, rather than increasing health by decreasing damage and harm. Support is also given to the proposal that individuals are in best position to determine the intensity of exercise and to choose primary activities to participate in, in order to provide near maximum physical and psychological benefit, with the understanding that frequency of exercise is of the upmost importance for benefit. The accessibility of exercise and the tremendous health benefit of exercise, makes exercise a huge asset in reducing the exorbitant health care spending and improving mediocre health outcomes in this country; a reasonable goal as numerous countries have better health the United States, even though the United States spends the more than any other country on health.
ContributorsRael, Ashur Scott (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor) / School of Film, Dance and Theatre (Contributor)
Created2015-05
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Description
The healthcare industry is currently facing significant changes. One of the changes in the industry is a movement towards patient-focused care, which considers the patient as a person and the impact of care on the person. Patient experience is part of patient-focused care, and has similarities to the marketing term

The healthcare industry is currently facing significant changes. One of the changes in the industry is a movement towards patient-focused care, which considers the patient as a person and the impact of care on the person. Patient experience is part of patient-focused care, and has similarities to the marketing term customer experience, which contributes to happier customers and long-term financial growth and success for businesses. This thesis defines current issues in patient experience as it relates to hospital manager decision making. Through secondary research, this thesis demonstrates what patient experience is, the role it plays in healthcare and hospital settings, the pressures on hospitals to increase patient experience performance, how patient experience performance is measured, and what strategies or action drive improvements under current performance measurements. Many studies and articles exist examining each of these issues individually. However, these sources do not comprehensively define patient experience in hospitals with perspective on how this influences hospital strategy and decision-making. Previous works on patient experience from the perspective of hospital strategy do not include considerations for recent industry shifts, most notably the Patient Protection and Affordable Care Act. The collected definitions in this thesis provide guidance of relevant concerns hospital managers consider when formulating organization-wide strategy related to patient experience. This thesis explains how patient experience contributes to the success of hospitals in the short-term, medium-term, and long-term and how patient experience may shift its focus over time. Short-term concerns include specific regulations and definitions from the Centers for Medicare and Medicaid services, responsible for over half of all payments to hospitals. Conforming to CMS standards is a matter of survival for most hospitals in the short-term. Hospitals are adjusting to rules and payment models not in existence just two years ago. First, hospitals will adapt, and then hospitals will strive to optimize under new standards as well as respond to adjustments in the rules over the next several years. After patient experience standards are well established, certain aspects of patient experience will be part of long-term differentiation and success for hospitals. Responding comprehensively to the shift towards improving patient experience is a critical aspect for hospitals to weather the many changes in the healthcare industry. Patient experience will provide better care to patients and better financial health to the hospitals that perform above patient experience standards.
ContributorsWilton, Kara Alexandra (Author) / Ketcham, Jonathan (Thesis director) / Ostrom, Amy (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor)
Created2014-05
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Abstract

My thesis aims to uncover the ultimate strategy behind short form visual stories, otherwise known as the digital advertisment. In this thesis, I analyze traditional storytelling, visual storytelling, and short-form visual storytelling in order to uncover the best practices advertisers should use when crafting a digital advertisement. 

Storytelling “reveals elements and

Abstract

My thesis aims to uncover the ultimate strategy behind short form visual stories, otherwise known as the digital advertisment. In this thesis, I analyze traditional storytelling, visual storytelling, and short-form visual storytelling in order to uncover the best practices advertisers should use when crafting a digital advertisement. 

Storytelling “reveals elements and images of a story while also catalyzing the imagination of the listener” (National Storytelling Network, 2017).  This tradition has two purposes for society: a neurological structure, and a social mechanism (for historic preservation, human interaction, and a vehicle for connecting with others) (Gottshcall, 2012; Scott, 2012; Paul, 2012; Woodside, 2008). 

Visual Storytelling is “using photography, illustration, video, (usually with a musical enhancement) to guide” the human brain along a plotline, and has an unlimited timeframe (Ron, 2017). There are seven key elements to effective visual storytelling: A listener/audience, an element of realism coupled with escapism, a focus on the dread of life, an element of the unknown, emotion, simplicity, and a three-part plot structure (Andrews, 2010; ProQuest, 2012; Zak, 2014; Stanton, 2014; Reagan, 2016; Jarvis, 2014; Petrick, 2014)

In the words of Sholmi Ron, from a marketing perspective, “Visual [short hand] Storytelling is a marketing strategy that communicates powerful ideas through a compelling story arc, with your customer at the heart of the story, and delivered through interactive and immersive visual media – in order to create profitable customer engagements" (Ron, 2017). This advertising strategy has four best practices: non-obvious logo placement, a comedic emotion, multiple emotional arcs, and a relevant message (Golan, 2017; Teixeira, 2015; Graves, 2017, Teixeira, 2017). These are important to understand because, in 2017, online consumers can be described as skeptical, conscious of content, individualistic, and drawn to authenticity (Teixeira, 2014). 

To supplement my findings, I conducted primary research by analyzing the 2017 Super Bowl videos against a criteria created using the best practices previously identified (in Part 1 and Part 2). Through the data collection of the 66 videos, I uncovered the most popular plotline is "fall than rise," the most popular emotions are humor, inspiration, and empathy and people tend to have a preference towards videos that are more realistic and simplistic in nature. 

In the end, I recommend that advertisers identify an authentic yet relevant message, while employing a comedic, inspirational, or empathic tone, and that they place their ads exclusively for their target market. Additionally, producers should use a fall then rise plotline (with multiple mini plot peaks and valleys), a "logo-pulsing" strategy, and a minimal amount of characters and settings to keep the audience's focus on the ad’s message.
ContributorsBosmeny, Mackenzie Lauren (Author) / Ostrom, Amy (Thesis director) / Montoya, Detra (Committee member) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Description
Biosimilar pharmaceuticals are new lower-cost drugs awaiting large-scale approval within the United States (U.S). Biosimilar pharmaceuticals or simply biosimilars, are complex, large-molecule, and biologically-derived drugs that are deemed molecularly similar to currently approved reference biologics. Biologics and biosimilars both treat a wide range of conditions with no clinically meaningful difference

Biosimilar pharmaceuticals are new lower-cost drugs awaiting large-scale approval within the United States (U.S). Biosimilar pharmaceuticals or simply biosimilars, are complex, large-molecule, and biologically-derived drugs that are deemed molecularly similar to currently approved reference biologics. Biologics and biosimilars both treat a wide range of conditions with no clinically meaningful difference between them. However, numerous states, with help from large pharmaceutical companies lobbying, are passing legislation complicating the prescribing and dispensing process for biosimilars by mandating a "notification" or "communication" requirement. The notification requirement requires pharmacists to contact prescribers when dispensing an interchangeable biosimilar in place of its reference biologic. This type of mandate is not only unprecedented in current U.S. pharmaceutical law, but it also incentivizes pharmacists to dispense more expensive biologics in place of biosimilars. The notification or communication requirement also falsely gives consumers the appearance that biosimilars are more dangerous in comparison to other types of biological medicines. These two factors, pharmacist hesitation and consumer distrust, serve as barriers to successful biosimilar market entry. High research and development costs and forecasted poor sales inhibit biosimilar companies from making the investment in innovating new drugs. The lack of investment in research and development prevents new biosimilars from entering the market to compete with currently approved biologics. In turn, current biosimilar legislation is reducing pharmaceutical competition and increasing drug prices. Information Measurement Theory supports the notion that in climates without competition (caused by a lack of transparency) sparks low quality and high costs. Transparency and improved biosimilar market conditions can be achieved through repealing the large pharmaceutical company backed notification requirement.
ContributorsFelthouse, Karis Renee (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / School of Politics and Global Studies (Contributor) / School of Film, Dance and Theatre (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
The Performance Based Studies Research Studies Group (PBSRG) at Arizona State University aims to evaluate and provide solutions to problems by using concepts derived from deductive logic. The research group identified that problems in most industries are due to the traditional approach of management, direction and control, and offers a

The Performance Based Studies Research Studies Group (PBSRG) at Arizona State University aims to evaluate and provide solutions to problems by using concepts derived from deductive logic. The research group identified that problems in most industries are due to the traditional approach of management, direction and control, and offers a practical contrasting model. The author is a biological sciences major interested in the health care industry. As a volunteer at a local non-profit pregnancy clinic in Tempe, AZ, the author noticed characteristics of the clinic structure that resembled both the traditional approach of management, direction and control and the best value (BV) approach. Although the pregnancy clinic has existed for 30 years and has high patient satisfaction, it faces problems that jeopardize its long term sustainability. This study analyzes the stereotypical structure of non-profit health clinics through literature review and through a case study of a local non-profit pregnancy clinic in Tempe, Arizona. The study identified and analyzed the factors that contribute to inefficiency within non-profit health clinics. The conclusions of the research demonstrate that characteristics of non-profit health clinics that resemble the traditional model perform in a manner that is unsustainable. Recommendations were based on concepts derived from Information Measurement Theory (IMT) and aimed to improve efficiency and effectiveness. The study identifies sources of risks and examines the performance of such organizations; the study concludes that rejection of traditional models and adaptation of the new approach is preferable in improving performance and increasing patient, employee, and volunteer satisfaction.
ContributorsTran, Yvonne Ho (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description
In recent years, artificial intelligence (AI) has become an increasingly important resource for individuals and corporations. In the health care industry, there is a growing demand for AI and related technologies to assist in everything from surgery to janitorial duties. While there is the usual skepticism surrounding AI, it is

In recent years, artificial intelligence (AI) has become an increasingly important resource for individuals and corporations. In the health care industry, there is a growing demand for AI and related technologies to assist in everything from surgery to janitorial duties. While there is the usual skepticism surrounding AI, it is important to understand how it works, its benefits, and its risk. Medically speaking, AI has the potential to aid physicians in diagnosis and treatment recommendations. The technology, however, presents issues surrounding data privacy as well as embedded biases in the algorithms used for intelligent systems. Mitigating these potential risks will be important to the successful implementation of AI in a health care setting. As artificial intelligence becomes more prominent in this space, there is a valid fear that it will result in severe job displacement and force many people out of their fields. This transition towards a more automated hospital will require many medical personnel to learn new skills and move towards jobs that require a more significant amount of empathy to thrive in the new economy. For decades, people have been worried about the effects of more automation and machinery, but we have seen that where some jobs are replaced with technology, other jobs are created. The findings of this thesis show that while AI is likely to replace some human workers, there is minimal reason to worry about complete job displacement in the near future. Long-term, the significance of AI in job replacement is more of an unknown. However, with knowledge about how artificial intelligence could be impacting us now, patients, physicians, and hospitals can better prepare and understand the impact that AI will have on each of them specifically.
ContributorsMcSpadden, Lana (Author) / Simon, Alan (Thesis director) / Ostrom, Amy (Committee member) / Barrett, The Honors College (Contributor) / Business Data Analytics (Contributor)
Created2022-05