Artificial Intelligence in Nursing- Part 2: Garbage In, Garbage Out: Transparency and the Integrity of Data

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This episode continues the discussion about AI in healthcare by exploring augmented reality, political influences on the AI space, and the concept of how data (dirty data, big data, accurate data) can influence algorithms. You’ll also hear some practical and clinical discussion of how AI technology is being used with insulin pumps to  manage type 1 diabetes in the pediatric population. What is it like when nurses, patients, and AI technology come together to help manage continuously changing blood glucose levels?---This is episode 2 of the series: Artificial Intelligence in NursingWhat is artificial intelligence (AI)? How is it being used in healthcare today? How is it already influencing nursing care? Artificial intelligence is not a new technology. It has been around for decades. As the technology continues to evolve and people train the associated technological algorithms with more data to become smarter, technology really can begin to perform some humanlike tasks. Computers are essentially developing a cognitive type of ability, based on how the technology is designed, to work in healthcare from assisting with preparing hospital charges for billing to intelligent robots assisting patients and healthcare professionals. There are a lot of advantages with intelligence technology, but where can “help” cross the line over into concern?Nurses may be able to complete an accredited CE activity featuring content from this podcast and earn CE hours provided from Elite Learning by Colibri Healthcare. For more information, click hereView Episode Show NotesView Episode TranscriptAlready an Elite Member? Login hereLearn more about CE Podcasts from Elite Learning by Colibri HealthcareView this podcast course on Elite LearningSeries: Artificial Intelligence in Nursing

Artificial Intelligence in Nursing- Part 2: Garbage In, Garbage Out: Transparency and the Integrity of Data

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Artificial Intelligence in Nursing- Part 2: Garbage In, Garbage Out: Transparency and the Integrity of Data
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