Automated service The role of business intelligence software in contemporary wellness programs – Published, Cal. Rev. W. L. (2018) This paper was presented at the California Western School of Law “AI Ethics Symposium” on February 19, 2018.
The past decade has seen an influx of new health technologies, catering from the individual to spas and hotels. Wearables, sensors to monitor steps, heart rate, sleep and temperature are increasing in popularity. Likewise, there are advances in sleep-aid technologies and many new entertainment technologies.
In the last five years, many health technologies have become more and more fashionable, from rings to necklaces that measure your condition, heart rate and steps. As cognitive technologies evolve, the healthcare technology market is currently witnessing the first wave of healthcare technologies equipped with artificial intelligence (AI).
Automated service The role of business intelligence software in contemporary wellness programs
A prominent AI scientist, Andrew Ng, compares artificial intelligence to electricity and expects it to change the way the world works, just like electricity.[1] IBM CEO Ginny Rometty sees IBM Watson’s AI services as a $2 trillion opportunity.[2] Forrester’s research[3] sees AI sparking a revolution of insights, where derived data drives change in companies, providing personalized customer service and ultimately driving revenue. An entire book could be written on how businesses, services and markets can be transformed by AI, but what is AI? The Oxford dictionary defines artificial intelligence as:
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Theory and development of computer systems that can perform tasks that require human intelligence, such as visual perception, speech recognition, decision making, and translation between languages [4]
What does artificial intelligence mean for health technologies, and what are the ethical implications? This paper attempts to answer this question by examining some technical and ethical questions. The technical scope of this paper provides examples of AI technologies that add value to health without involving another person.
This paper makes a deliberate attempt to explore the intersection between AI technologies as independent offerings in the healthcare market. Considering that the inclusion of AI in healthcare is a new addition to the expanding healthcare service and product offerings, this is an ideal opportunity to actively discuss emerging ethical questions. In an effort to better discuss the uses of AI in healthcare, this paper analyzes it into three categories: abstract, tangible, and embedded.
Health has become a popular buzzword in recent years and is a term that is often cited as a target by individuals, workplace human resources and hotel chains. Increased interest in health coincides with a time of economic struggles [5], an unstable labor market [6] and an increasing number of people suffering from anxiety or depression.[7] ] Several definitions of health can be summarized in Merriam-Webster’s definition of health:
“A state of complete physical, mental and social well-being, and not merely the absence of disease or infirmity.”
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However, now that ‘wellness’ has become more popular, organizations and global studies have been conducted on the subject and come to their own conclusions about what health really is. There are two organizations worth noting, first, the National Wellness Institute, [10] which adopted the health perspective of its co-founder (Dr. Bill Hettler). Dr. Hettler believes that health is made up of the following six dimensions: emotional, spiritual, intellectual, occupational, physical, and social.
This multidimensional perspective is part of the wellness understanding in which Dr. Hetler believes that it is a “conscious, self-directed and progressive process of reaching full potential.” [11] This perspective is very much in line with contemporary “do-it-yourself” (DIY) and even more so with the advent of DIY AI therapy applications.
The Organization for Economic Co-operation and Development (OECD) believes that well-being is a critical component of economic development, and the OECD launched the Better Living Initiative to measure well-being and make progress towards achieving it. They measure “quality of life” and “material conditions”. In “quality of life” they measure: health status, work-life balance, education and skills, social connectedness, civic engagement and governance, environmental quality, personal security and subjective well-being. In “material conditions”, they measure: income and wealth, work and income and housing. These elements build an index that they see as part of a cycle with resources to maintain well-being over time by conserving natural capital, economic capital, human capital, and social capital.
In a relevant and fully multi-disciplinary context, these holistic approaches evaluate health from a holistic perspective. However, emerging healthcare technologies with AI are not comprehensive. Accordingly, this paper seeks to examine AI and health technologies through the WHO lens of examining mental, physical and social health.
This paper divides artificial intelligence (AI) into three mediums in an attempt to better examine emerging AI technologies used in the healthcare sector. The three media are abstract, tangible and embedded.
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The technological examples discussed represent some emerging technologies. Many people are familiar with smartwatches that report specific metrics and use machine learning to make health predictions. A clinical example is the Fitbit and Apple Watch studies of how data analytics can predict a user’s diabetes risk.[13] But while the technologies explored in this article examine directly and primarily those related to mental and emotional health, this finding plays an important role in underlying social health problems and is the key to causing health problems in the non-genetic body. In the original. The research discussed highlights some of the latest emerging capabilities of AI in the healthcare space.
The following sections expand on each of the three categories of AI with examples of the technology, their welfare benefits, and their ethical implications:
AI does not have a physical form, but instead can be announced by voice, an on-device notification, and/or invisible computing that runs in the background and is called upon when needed for information or advice.
According to the American Foundation for Suicide Prevention (AFSP), suicide is the leading cause of death in America and the number of deaths by suicide is increasing. In a study of antidepressant use in the United States, the Centers for Disease Control and Prevention’s National Center for Health Statistics found that:
Antidepressants were the third most commonly prescribed drugs taken by Americans of all ages in 2005-2008 and were most commonly used by people aged 18-44. From 1988–1994 to 2005–2008, rates of antidepressant use among all age groups in the United States increased by nearly 400%.[14]
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In efforts to address these growing concerns, clinical research and startups are beginning to explore the use of AI technology to detect, diagnose, prevent, manage, and resolve these issues. One such initiative comes from AI startup Mindstrong, [15] which sees the smartphone as an emotional diagnostic tool that can aid in mental health and wellness. Chairman and Co-Founder Dr. Thomas Insel (former director of the National Institute of Mental Health), hopes to use AI to predict emotional health concerns before they arise. To achieve this goal, Dr. Thomas attempted to link therapist visits and daily life through early warnings derived from measurements and assessments from digital phenotyping.[16] Digital phenotyping is the “random quantification of individual-level human phenotypes across contexts.
Using data from personal digital devices.”[17] In other words, MindStrong aims to evaluate phone usage patterns (typing, scrolling, etc.) when someone is relaxed and when someone is angry. Models like these help paint a picture of the user’s emotional state.
At the University of Southern California (USC) Institute for Creative Technologies, she is conducting research to create what she calls Ellie, a “virtual therapist.” Through a webcam and microphone, the AI is able to process and analyze the emotional signals received from the patient’s face and the difference in expressions and tone of voice. Used only in research settings, when they talked to Ellie, patients “felt less judged by the virtual therapist and more open [to discuss their feelings].” “It’s about having a safe space to talk about what’s going on now,” explained Gail Lucas, a social psychologist at the institute. [18]
Outside of the research lab is an app called Addicide, which aims to help its users avoid addictive behaviors that harm their mental, emotional, and physical well-being.[19] Adacid has the potential to help people experiencing the following: (1) substance abuse and processing disorders, including but not limited to eating, (2) gambling, (3) Internet use, (4) ) alcoholism, and (5) pornography.
Using clinical research, machine learning and adaptive AI, Addicide “predicts when a person is at risk of falling into addictive behavior and offers personalized treatment options for that person.” For example, for someone struggling with alcohol abuse using GPS, the app can intervene when the user approaches or enters a trigger location (such as a bar or liquor store). In these instances, the app provides information to the hotline and offers additional coping tools and strategies.[20]
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If calling a hotline and talking to someone is problematic, the WoeBot app is available for therapy sessions 24/7. The product of a team of Stanford psychologists and AI experts, WoeBot tracks the mood of its users through small daily.
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