Artificial intelligence (AI) is “the science and engineering of creating intelligent machines that have the ability to achieve goals like humans via a constellation of technologies.”1(p69) The term was coined in the 1950s with high hopes for rapid, widespread use and important scientific breakthroughs. Progress in AI slowed, however, due to limitations in computing, analytics, and data. The landscape around these challenges has significantly evolved in the last 70 years, ushering in a new wave of opportunities. Among the opportunities are 2 AI technologies you will see in nursing practice, predictive AI and generative AI. Predictive AI uses data, such as patient data, to make predictions about future events or trends. Generative AI learns patterns in existing data and generates new data based on those patterns to create original content. This column of Technology Today column compares how these 2 AI technologies work and provides cases to illustrate...
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Summer 2024
Technology Today|
June 15 2024
Comparison of Generative Artificial Intelligence and Predictive Artificial Intelligence
Linda Harrington, PhD, DNP, RN-BC, CPHQ, CENP, FHIMSS, FAMIA
Linda Harrington, PhD, DNP, RN-BC, CPHQ, CENP, FHIMSS, FAMIA
Department Editor
Linda Harrington is an Independent Consultant, Health Informatics and Digital Strategy, and Adjunct Professor at Texas Christian University, 2800 South University Drive, Fort Worth, TX 76109 ([email protected]).
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AACN Adv Crit Care (2024) 35 (2): 93–96.
Citation
Linda Harrington; Comparison of Generative Artificial Intelligence and Predictive Artificial Intelligence. AACN Adv Crit Care 15 June 2024; 35 (2): 93–96. doi: https://doi.org/10.4037/aacnacc2024225
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