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Among several early publications to express the need for a rapid learning health system was a commentary in Health Affairs in 2007 [7] where Lynn Etheredge applied the term “rapid learning health system” in recognition of the opportunity to leverage electronic health records (EHR) to “learn” what works in health care.
Learning Engineering is the systematic application of evidence-based principles and methods from educational technology and the learning sciences to create engaging and effective learning experiences, support the difficulties and challenges of learners as they learn, and come to better understand learners and learning. It emphasizes the use of ...
Various health care facilities had instigated different kinds of health information technology systems in the provision of patient care, such as electronic health records (EHRs), computerized charting, etc. [107] The growing popularity of health information technology systems and the escalation in the amount of health information that can be ...
Learning sciences (LS) is the critical theoretical understanding of learning, [1] engagement in the design and implementation of learning innovations, and the improvement of instructional methodologies. LS research traditionally focuses on cognitive-psychological, social-psychological, cultural-psychological and critical theoretical foundations ...
Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...
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.
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Augmented learning tools have been useful for learners to gain an enhanced understanding of words or to understand a foreign language. The interactive, dynamic nature of these on-demand language assistants can provide definitions, sample sentences and even audible pronunciations.