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Artificial intelligence in pharmacy is the application of artificial intelligence (AI) [118] [119] [120] to the discovery, development, and the treatment of patients with medications. [121] AI in pharmacy practices has the potential to revolutionize all aspects of pharmaceutical research as well as to improve the clinical application of ...
A pioneer in the use of artificial intelligence in healthcare was American biomedical informatician Edward H. Shortliffe. This field deals with utilization of machine-learning algorithms and artificial intelligence, to emulate human cognition in the analysis, interpretation, and comprehension of complicated medical and healthcare data.
The ITU-WHO Focus Group on Artificial Intelligence for Health (AI for Health) is an inter-agency collaboration between the World Health Organization and the ITU, which created a benchmarking framework to assess the accuracy of AI in health. [1] [2]
A year later, the administration called for comments on regulation in another draft of its Guidance for Regulation of Artificial Intelligence Applications. [14] Other specific agencies working on the regulation of AI include the Food and Drug Administration, [15] which has created pathways to regulate the incorporation of AI in medical imaging ...
In Canada, there are 19 different HIM programs, mostly in the diploma level. However, all these programs are subjected to an accreditation review by their respective organizations: The Commission on Accreditation for Health Informatics and Information Management Education (CAHIIM in the US) [ 1 ] and the Canadian College of Health Information ...
A clinical decision support system (CDSS) is a health information technology that provides clinicians, staff, patients, and other individuals with knowledge and person-specific information to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow.
This fundamental change in health care (pay for performance) means that hospitals and other health care providers will need to develop, adapt and maintain all of the technology necessary to measure and improve on quality. Physicians have traditionally lagged behind in their use of technology (i.e., electronic patient records).
Healthcare information technology can also result in iatrogenesis if design and engineering are substandard, as illustrated in a 14-part detailed analysis done at the University of Sydney. [40] Numerous examples of bias introduced by artificial intelligence (AI) have been cited as the use of AI-assisted healthcare increases. See Algorithmic bias.
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