UID:
almahu_9949982551202882
Format:
1 online resource (x, 147 pages) :
,
ilustrations
Edition:
First edition.
ISBN:
9780443105203 (paperback)
,
0443105200 (paperback)
Content:
This book explores the impact and significance of big data in clinical and medical settings. It delves into the opportunities and limitations of large datasets, including their application in national health databases and electronic health records. The text discusses best practices for interpreting big data, the biases and ethical implications involved, and the integration of artificial intelligence in healthcare. It highlights the importance of patient perspectives on data privacy and trust, with a focus on improving patient outcomes and advancing research. The book is intended for healthcare professionals, researchers, and policymakers interested in leveraging big data to enhance clinical practices. -- Publisher's description.
Note:
Big data--Science fiction or clinically relevant? / Matthew G. Crowson -- Large administrative datasets : lessons and limitations / Alison Yu, Elisabeth Ference -- Sources of high-dimensional data--the electronic health record, health systems, and insurance and payor data / Molly P. Jarman, Rohith (Reddy) Kariveda, Robert S. Semco, Jennifer J. Shin -- Best practices when interpreting big data studies : considerations and red flags / Kelsey A. Duckett, Evan M. Graboyes -- Current big data approaches to clinical questions in otolaryngology / Nicholas A. Rapoport, Andrew P. Michelson, Matthew A. Shew -- Bias in big data : historically underrepresented groups and implications / Jennifer A. Villwock, G. Richard Holt -- Artificial intelligence in otolaryngology / Nathan Farrokhian, Andrés M. Bur -- The patient perspective on big data and its use in clinical care / Katie Tai, Christopher Babu, Yeo Eun Kim, Tejas Subramanian, Anaïs Rameau.
Language:
English
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