AI Reliability
AI Hallucinations: An Oasis in the Desert?
In our first two articles, we learned how to effectively chat with AI by providing context and restrictions within prompts. “AI is trained through a structured process that involves feeding data into models, allowing them to learn patterns and make predictions based on that data” (Microsoft CoPilot). This article explains how and why AI can…
Read MoreTips for Chatting with AI Chatbots
AI is growing in relevance every day in every field. But to effectively use a chatbot like ChatGPT-4, you must be able to competently converse with it. We need to learn how these chatbots want to receive our input and refine our instructions. Both AI and Machine Learning (ML) employ neural networks. Neural networks…
Read MoreThe Importance of High Quality Data for AI Reliability
Garbage in = Garbage Out = High Risk By Lindsay Westervelt J P Systems, Inc. Artificial Intelligence (AI) is a hot topic right now in healthcare for numerous reasons. Namely, AI has the potential to reduce clinical burnout and fatigue by improving Clinical Decision Support. AI uses Machine Learning to create predictive logic and “act”…
Read MoreThe Importance of a Nursing Data Framework
By Dr. Luann Whittenburg, RN, PMP, FHIMSS A Nursing Data Framework can give healthcare providers a way to garner business intelligence. They can save money and reduce risk by improving workflows, load leveling personnel schedules, and improving patient safety. With more than 4 million nurses in the U.S., nurses are the largest clinical segment of the U.S.…
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