{"title":"Al, Open Source and Standards in Clinical Development","description":"","products":[{"product_id":"the-practical-use-of-ai-in-clinical-development-ttc-kw-x01","title":"The practical use of AI in clinical development","description":"\u003cp class=\"MsoNormal\"\u003e\u003cb\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePractical Use of AI in Clinical Development - TTC KW X01\u003c\/span\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eThe \u003cb\u003ePractical Use of AI in Clinical Development\u003c\/b\u003e course is designed for professionals who want to understand how generative Artificial Intelligence can be used responsibly and effectively in day-to-day clinical data management work. It is suitable for \u003cb\u003ebeginners to intermediate learners\u003c\/b\u003e in clinical research, including \u003cb\u003eClinical Data Managers, Clinical Trial Assistants, Clinical Research Associates (CRAs)\u003c\/b\u003e, and professionals working in clinical operations, biometrics, or related functions.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eThis course focuses on the \u003cb\u003epractical application of generative AI tools\u003c\/b\u003e such as ChatGPT, Copilot, and similar systems. Rather than treating AI as a theoretical concept, the module shows how it can support real tasks such as searching and analysing regulatory information, improving and drafting documents, reviewing protocols, suggesting CRF fields, and reconciling data.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eIn a regulated clinical research environment, AI must be used with care. This module helps you understand both \u003cb\u003ewhat AI can do\u003c\/b\u003e and \u003cb\u003ewhere its limitations are\u003c\/b\u003e, so you can apply it as a reliable assistant while maintaining quality, compliance, and professional judgment.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eWhy Learn with TriTiCon\u003c\/span\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eTriTiCon delivers \u003cb\u003eclinical development training\u003c\/b\u003e based on extensive hands-on experience from real clinical trials and operational roles across sponsors, CROs, and life sciences organizations. The content is developed by professionals who understand both the opportunities and the constraints of working in a regulated environment.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eIn the context of AI, this practical perspective is essential. While many platforms discuss AI in abstract or promotional terms, TriTiCon focuses on \u003cb\u003ehow AI fits into real clinical development workflows\u003c\/b\u003e, including quality management systems, data protection requirements, and professional accountability.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eThe X01 module is built around concrete examples from clinical data management, showing how AI can support work without replacing expertise. You will see how to combine AI efficiency with \u003cb\u003ehuman oversight, validation, and responsibility\u003c\/b\u003e, which is critical in clinical research.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eCompared with generic AI or clinical research courses, TriTiCon’s training emphasizes \u003cb\u003ejob-relevant use cases\u003c\/b\u003e, realistic expectations, and clear boundaries for responsible AI use in clinical development.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cb\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eWhat You’ll Learn\u003c\/span\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003eThis module provides a structured, end-to-end view of how generative AI can support clinical data management. The content is organized into five chapters that build from foundational understanding to hands-on application and responsible use.\u003c\/span\u003e\u003c\/p\u003e","brand":"Tevello","offers":[{"title":"Default Title","offer_id":42777187680304,"sku":"learnworlds_package_6920358f83aac","price":60.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0661\/1628\/8560\/files\/5e538133aee9e2471fde9d7a926ccc0e_aa1a3565-a655-43ca-8c4c-6069d1136dc2.jpg?v=1771936920"}],"url":"https:\/\/www.triticon.com\/en-gb\/collections\/al-open-source-and-standards-in-clinical-development.oembed","provider":"Triticon Knowledgeworld","version":"1.0","type":"link"}