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Scientific Computing and Data<\/a>\u00a0\/\u00a0Mount Sinai Data Warehouse<\/a> \/ Training, Tutorials, and Documentation<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.4″ header_font=”|600|||||||” header_text_color=”#221f72″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” hover_enabled=”0″ sticky_enabled=”0″ background_pattern_color=”rgba(0,0,0,0.2)” background_mask_color=”#ffffff” text_text_shadow_horizontal_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length=”text_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength=”text_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length=”link_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length=”link_text_shadow_style,%91object 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z_index_tablet=”0″]<\/p>\n Three Sessions |\u00a0 10\u201311 am Register here<\/a><\/strong><\/p>\n Session 1: Getting Started with AIR\u00b7MS: Health Data Fundamentals<\/b><\/p>\n Session 2: From AI Agents to AIR\u00b7MS: Leveraging Large Language Models<\/b><\/p>\n Session 3: <\/b>Advanced AIR\u00b7MS: Data Modalities and AI\/Machine Learning (ML) Applications<\/b><\/p>\n Principal Data Architect Timothy Quinn, PhD, has developed informative presentations on OMOP Vocabulary Tables and Electronic Health Record (EHR) Data in MSDW:<\/p>\n Mount Sinai’s Epic electronic health record (EHR) system constitutes the primary data source for the Mount Sinai Data Warehouse. Data are also loaded from other ancillary systems.<\/p>\n \u00a0<\/p>\n *Please note: to watch training videos off-campus users must be on VPN.\u00a0<\/em><\/p>\n Each tool has a specific set of features and functions. Check out these tutorials for our software tools to assist you:<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n For MSDW-related presentation recordings and materials, see Presentations<\/a>.<\/p>\n \u00a0<\/p>\n For publications, user reports, annual reports, and surveys, see\u00a0Annual Reports and User Surveys<\/a>.<\/p>\nNEW! AIR\u00b7MS Fall 2026 Training<\/h1>\n
On Zoom and In Person:<\/b> Annenberg Classroom 10-70<\/p>\n\n
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\nNEW! Data2Evidence Fall 2026 Training and Office Hours<\/h1>\n
September\/October 2026<\/strong><\/h4>\n<\/div>\n
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Tutorials<\/h1>\n
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Documentation<\/h1>\n
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