Imagine artificial neural networks as a computer playing a guessing game. Every time it gets new data, it makes a guess. If it’s wrong, it tweaks its guess a little bit, kind of like when you learn from mistakes in a game. Using statistics and probabilities, it figures out what the most likely right answer is. The more data it gets, the better it becomes at guessing – like a guessing champion that never gets tired of improving and learning!
It is true that Millennium , developed by Cerner in the 1990s, originates from older technological foundations. The system was initially designed to address the needs of that time, focusing on digitizing medical records and centralizing patient data. While Millennium has been updated and further developed to include modern features such as decision support and system integration, it still carries traces of the era in which it was created. Critical Points Regarding Older Foundations: Architecture: The core structure of Millennium was not originally built for the flexible and modular development that modern, cloud-based electronic health record (EHR) systems offer. User Experience: The interface and workflows may feel less intuitive compared to newer systems, leading to frustration among healthcare staff. Adaptability: The system's foundational design can make it challenging to integrate AI or other advanced technologies seamlessly. Patient Safety: Older desi...
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