May 14, 2018 - Healthcare is on the edge of entering the era of artificial intelligence. This theme issue of the AMA Journal of Ethics intends to provide such a foundation with an in-depth view of the AI-induced complexities of black-box medicine, exploring patient privacy and autonomy, medical education, and more. Is the information that is fed in free of bias? The healthcare community isn’t so good at preventing mistakes. Artificial Intelligence has disrupted multiple industries from marketing to financial services, to supply chain management. In this article, we’ll explore a few alarming ways AI solutions in healthcare are using consumer health … Treatment Plans; Another benefit of AI in healthcare is the ability to design treatment plans. Additionally, Nicole Martinez-Martin uncovers a policy gap governing the protection of patient photographic images as they apply to facial recognition technology, which could threaten proper informed consent, reporting of incidental findings, and data security. Virtual Nursing Assistants. He earned a BS in molecular and cellular biology at the University of Illinois at Urbana-Champaign and is interested in pursuing a career as a physician-scientist in neurology. Finally, Elliott Crigger and Christopher Khoury report on the American Medical Association’s recent adoption of policy on AI in health care, which calls for the development of thoughtfully designed, high-quality, and clinically validated AI technology, which can serve as a prototypical policy for the medical system. Artificial intelligence (AI) aims to mimic human cognitive functions. Experiencing teething problems with the introduction of any new technology is not rare, but must be overcome for large scale adoption of AI to occur in the healthcare market. Complete your profile below to access this resource. ©2012-2020 Xtelligent Healthcare Media, LLC. Using Visual Analytics, Big Data Dashboards for Healthcare Insights. Jennifer Hill, Chief Operating Officer at Remedy Analytics. “Understanding that it’s not a magic wand … Dermatologist-level classification of skin cancer with deep neural networks. I also want to thank my mentor, Dr. David D. Luxton, for his guidance and support as well as the editorial staff at the AMA Journal of Ethics. The viewpoints expressed in this article are those of the author(s) and do not necessarily reflect the views and policies of the AMA. “And so the key thing is the data that is fed into the AI. Hannah R. Sullivan and Scott J. Schweikart, JD, MBE. Some of the most exigent concerns raised in this issue include addressing the added risk to patient privacy and confidentiality, parsing out the boundaries between the physician’s and machine’s role in patient care, and adjusting the education of future physicians to proactively confront the imminent changes in the practice of medicine. The author(s) had no conflicts of interest to disclose. AI in healthcare focuses on analyzing consumer health data to improve outcomes by suggesting diagnoses, reading medical device images, accelerating medical research and development, and more. AI in healthcare: Big ethical questions still need answers. As machine learning, deep learning, and other aspects of AI start to mature, they bring nearly endless possibilities to supplement, streamline, and enhance the way humans interact with data. If an AI system recommends the wrong drug for a patient, fails to notice a tumor on a radiological scan, or allocates a hospital bed to one patient over another because it predicted wrongly which patient would benefit more, the patient could be injured. In medicine, the data sets can come from electronic health records and health insurance claims but also from several surprising sources. Michael J. Rigby is a fifth-year student in the Medical Scientist Training Program (MSTP) at the University of Wisconsin School of Medicine and Public Health in Madison. May 14, 2018 - Healthcare is on the edge of entering the era of artificial intelligence. Nonetheless, there is much work to do in order to lay down the proper ethical foundation for using AI technology safely and effectively in health care. ISSN 2376-6980, Ethical Dimensions of Using Artificial Intelligence in Health Care. In a similar case regarding the use of IBM WatsonTM as a clinical decision support tool, David D. Luxton outlines benefits, limitations, and precautions in using such a tool. There are also a host of unknown risks associated with AI-led diagnosis and treatment plans including potential issues with compliance, fair balance and liability. Artificial intelligence in psychological practice: current and future applications and implications. However, there is a need to minimize ethical risks of AI implementation—which can include threats to privacy and confidentiality, informed consent, and patient autonomy—and to consider how AI is to be integrated in clinical practice. Increasingly, executives, politicians and even AI practitioners are calling for oversight of the technology’s use in the life sciences. A second major theme in this issue revolves around the role AI can play in medical education, both in preparing future physicians for a career integrating AI and in directly using AI technology in the education of medical students. 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