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ArticleHealth system scale language models are all purpose prediction engines https://doi.org/10.1038/s4158602306160y Received: 14 October 2022 Accepted: 2 May 2023 Published online: xx xxxxLavender
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Health system-scale language models are advanced artificial intelligence systems designed to process and understand health-related data, facilitating tasks such as clinical decision-making, patient interaction, and healthcare data management.
Health organizations, providers, and institutions that deploy or utilize health system-scale language models in their operations are typically required to file.
Filling out health system-scale language models involves submitting comprehensive documentation that outlines the model's design, intended use, data sources, and compliance with health regulations.
The purpose of health system-scale language models is to enhance the efficiency and accuracy of healthcare delivery by leveraging natural language processing to analyze clinical data, improve patient outcomes, and streamline administrative processes.
Information that must be reported includes the model's architecture, training data used, evaluation metrics, intended applications, and any potential biases identified during development.
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