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Big data plays an increasingly important role in today’s practice of otolaryngology and in all of healthcare. In Big Data in Otolaryngology, Dr. Jennifer Villwock leads a team of expert authors who provide a comprehensive view of many key impacts of big data in otolaryngology—including understanding what big data is and what we can and cannot learn from it; best practices regarding analysis; translating findings to clinical care and associated cautions; ethical issues; and future directions. |
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1 Big data - Science fiction or clinically relevant
2 Large administrative datasets: Lessons and limitations
3 Sources of high-dimensional data - The 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 otolaryngology
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
Index
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