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AI is already shaping what information reaches nurses in practice through risk scores, deterioration alerts, reordered patient lists, and documentation tools that often appear without explanation. This course helps nurses see the structure behind every AI tool in their workflow, the inputs it draws from, the model doing the analysis, the tool that displays the result, and the output it produces. Through the four-bucket framework, flagged, summarized, prioritized, triggered, and guided Dialogue activities, learners will practice naming the AI tools already present in their own practice, telling rule-based systems apart from machine learning, distinguishing predictive AI from generative AI, and asking the governance questions that determine who's accountable when something doesn't seem right. In support of improving patient care, Duke University Health System Clinical Education and Professional Development is accredited by the American Nurses Credentialing Center (ANCC), the Accreditation Council for Pharmacy Education (ACPE), and the Accreditation Council for Continuing Medical Education (ACCME), to provide continuing education for the health care team. The designation was based upon the quality of the educational activity and its compliance with the standards and policies of the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC). Upon completion of all three courses (Seeing AI in Nursing Practice, Evaluating AI in Nursing Practice, and Applying AI in Nursing Practice) in the AI in Nursing Practice: Foundations for Quality and Safety Specialization, you will be eligible to apply for continuing education credits. Duke University Health System Department of Clinical Education and Professional Development designates this activity for up to 9 credit hours for nurses. Nurses should claim only credit commensurate with the extent of their participation in this activity. Please note the rosters are collected quarterly.
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Quien egresa será capaz de identificar y diferenciar los conceptos de conflicto, problema y diferencia en distintos contextos, así como analizar los conflict…
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This course will analyze currently available technologies for learning. Areas addressed include: learning management systems, intelligent tutors, computer ad…
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"Feminism and Social Justice" is an adaptation of Distinguished Professor Bettina Aptheker's long-running course at UC Santa Cruz. In the course, Professor A…
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The Final Project will be a hands-on, comprehensive project that practitioners of virtual education can implement in their profession. For this final project…
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This course is part of the IPSAMOOC project, a joint venture Federica Weblearning - IPSA, the International Political Science Association. Comparative politi…
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En este curso vamos a tratar de eliminar cualquier estigma detrás de la depresión, educar sobre qué es un mito y qué es un hecho en cuanto a esta condición,…
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This course is designed to give you practical insights and tools that you can apply in both your personal and professional life. We’ll explore what happiness…
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Para hacer una buena recopilación de datos se necesitan buenas muestras. Pero las muestras pueden elegirse de muchas maneras. Pueden ser selecciones fortuita…
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This Basics of Ethereum course offers a comprehensive exploration of blockchain technology and its applications, equipping you with the skills to navigate th…
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This free online course is one of 10 courses available in the Goldman Sachs 10,000 Women collection, designed for entrepreneurs ready to take their business…
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Complex systems can exhibit emergent phenomena, wherein the interplay of simple underlying rules governing the constituent parts leads to rich and unexpected…
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This course teaches the essentials of big data, from understanding its principles to accessing and using large datasets. You'll learn to explore research que…
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