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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]
A study in 2005 found 51 unique definitions of eHealth, reflecting its diverse applications and interpretations. [3] While some argue that it is interchangeable with health informatics as a broad term covering electronic/digital processes in health [4], others use it in the narrower sense of healthcare practice specifically facilitated by the ...
In educational technology, Lindy McKeown has provided a similar model (a pencil metaphor [4]) describing the Information and Communications Technology uptake in education. In medical sociology, Carl May has proposed normalization process theory that shows how technologies become embedded and integrated in health care and other kinds of ...
Telehealth is sometimes discussed interchangeably with telemedicine, the latter being more common than the former. The Health Resources and Services Administration distinguishes telehealth from telemedicine in its scope, defining telemedicine only as describing remote clinical services, such as diagnosis and monitoring, while telehealth includes preventative, promotive, and curative care ...
Open mHealth architecture was introduced, fostering innovation in healthcare through facilitating access and harmonization of digital health data from disparate sources using a global community of developers and health tech decision-makers to make sense of that digital health data through an open interoperability standard. [82] [83]
Although digital therapeutics can be employed in numerous ways, the term can broadly be defined as a treatment or therapy that utilizes digital and often Internet-based health technologies to spur changes in patient behavior. [4] [21] The use of digital products to improve health outcomes dates as far back as 2000.
technology acceptance model.png. The technology acceptance model (TAM) is an information systems theory that models how users come to accept and use a technology. The actual system use is the end-point where people use the technology. Behavioral intention is a factor that leads people to use the technology.
As widespread use of AI in healthcare is relatively new, research is ongoing into its application in various subdisciplines of medicine and related industries. AI programs are applied to practices such as diagnostics, [4] treatment protocol development, [5] drug development, [6] personalized medicine, [7] and patient monitoring and care. [8]