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Covers the clinical relevance of big data in otolaryngology, lessons and limitations of large administrative datasets, biologic big data, and much more.
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Discusses artificial intelligence (AI) in otolaryngology and its clinical application.
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Presents a patient perspective on big data in otolaryngology and its use in clinical care, as well as a glimpse into the future of big data.
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Compiles the knowledge and expertise of leading experts in the field who have assembled the most up-to-date recommendations for managing big data in otolaryngology.
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Consolidates today's available information on this timely topic into a single, convenient resource.
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Table of Contents
1 Big datadScience fiction or clinically relevant2 Large administrative datasets: Lessons and limitations
3 Sources of high-dimensional datadThe electronic health record, health systems, and insurance and payor data
4 Best practices when interpreting big data studies: Considerations and red flags
5 Current big data approaches to clinical questions in tolaryngology
6 Bias in big data: Historically underrepresented groups and implications
7 Artificial intelligence in otolaryngology
8 The patient perspective on big data and its use in clinical care
