{"product_id":"artificial-intelligence-for-healthcare-interdisciplinary-partnerships-for-analyticsdriven-improvements-in-a-postcovid-world-9781108836739","title":"Artificial Intelligence for Healthcare: Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eHealthcare has recently seen exciting applications of artificial intelligence, industrial engineering, and operations research to tackle societal and operational problems. This book provides an overview of interdisciplinary research partnerships that leverage AI, IE, and OR to improve medical knowledge, health system operations, and behavioral health. Chapter authors include medical doctors, policy-makers, social scientists, and engineers. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 350 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 05 May 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Cambridge University Press\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eHealthcare has recently witnessed a surge of exciting applications involving artificial intelligence (AI), industrial engineering (IE), and operations research (OR). This comprehensive book, crafted with accessibility in mind, offers a comprehensive overview of interdisciplinary research partnerships that harness the power of AI, IE, and OR to address societal and operational challenges within the healthcare realm. The diverse range of topics covered in this book spans from optimizing the placement of automated external defibrillators (AEDs) for cardiac arrests to data mining techniques for enhancing patient flow within hospitals. These applications serve as poignant examples of how engineering has made significant contributions to medical knowledge, healthcare system operations, and behavioral health.\u003cbr\u003e\u003cbr\u003eThe authors of each chapter in this book are drawn from a diverse array of disciplines, including medical doctors, policy-makers, social scientists, and engineers. Each chapter begins with a concise summary of the healthcare problem at hand and the engineering approach employed to address it. This book serves as a valuable resource for researchers in public health, medicine, social science, and engineering, providing them with a roadmap to initiate interdisciplinary collaborations in the realm of health applications of AI\/IE\/OR. By leveraging the combined expertise and insights of these diverse fields, researchers can unlock new opportunities for innovation, improvement, and ultimately better patient outcomes.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 446g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 157 x 237 x 19 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781108836739\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44094975901946,"sku":"9781108836739","price":69.5,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1652439565376_book.jpg?v=1652521201","url":"https:\/\/shulphink.com\/products\/artificial-intelligence-for-healthcare-interdisciplinary-partnerships-for-analyticsdriven-improvements-in-a-postcovid-world-9781108836739","provider":"Shulph Ink","version":"1.0","type":"link"}