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Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
The first group of these services is known as primary care services in the domain of digital health. These services include wireless medical devices that utilize technology such as Wi-Fi or Bluetooth, as well as applications on mobile devices that encourage the betterment of an individual's health as well as applications that promote overall general wellness. [13]
Connected health is a socio-technical model for healthcare management and delivery [1] by using technology to provide healthcare services remotely. Connected health, also known as technology enabled care (TEC) aims to maximize healthcare resources and provide increased, flexible opportunities for consumers to engage with clinicians and better self-manage their care. [2]
Medical technology may broadly include medical devices, information technology, biotech, and healthcare services. [citation needed] The impacts of medical technology involve social and ethical issues. For example, physicians can seek objective information from technology rather than read subjective patient reports. [23]
If technology does not emerge from the unfolding of a predetermined logic or a single determinant, then innovation is a 'garden of forking paths'. Different routes are available, potentially leading to different technological outcomes. Significantly, these choices could have differing implications for society and for particular social groups.
"The Social Construction of Facts and Artefacts: Or How the Sociology of Science and the Sociology of Technology Might Benefit Each Other." Social Studies of Science 14 (August 1984): 399–441. Russell, Stewart. "The Social Construction of Artefacts: Response to Pinch and Bijker." Social Studies of Science 16 (May 1986): 331–346.
AI Now publishes an annual reports on the state of AI, and its integration into society. Its 2017 Report stated that, "current framings of AI ethics are failing", and provided ten strategic recommendations for the field - including pre-release trials of AI systems, and increased research into bias and diversity in the field.
Health information technology (HIT) is "the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, health data, and knowledge for communication and decision making". [8]