An essential guide to healthcare data problems, sources, and solutions
Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals.
Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution.
The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
JAY A. ETCHINGS is the director of operations at Arizona State University’s Research Computing program, where he is responsible for developing innovative architectures to progress fluid technical environments supporting highly computational workloads, peta-scale data analysis, next-generation cyber capabilities, and emerging network innovations.
Praise for Strategies in Biomedical Data Science
"There is no doubt that Biology and Medicine are now fundamentally 'Data Sciences' and that the greatest breakthroughs will come from individuals and organizations who have learned how to integrate and master the digital universe of biomedical data. This book offers practical insights and examples on how to leverage emerging technologies to solve the biomedical data science challenges of today and tomorrow."
—Joel T. Dudley, PhD, Director, Center for Biomedical Informatics, Mount Sinai School of Medicine; Assistant Professor, Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine; Co-founder and Scientific Advisor, Ontomics, Inc.
"At the heart of all quality science is quality data. Jay's book takes a brilliant step forward in sharing and defining best practices for modern healthcare data and bioinformatics."
—Daniel Rogers, PhD, Department of Anthropology, National Museum of Natural History, Smithsonian Institution
"A scalable pool of reusable IT Infrastructure is the foundation for the data analytics powering next-generation healthcare. While there are many determining factors driving health informatics, composable infrastructure is critical in creating the economics necessary for pervasive patient and social benefits."
—Steve Tepedino, President and CEO, IT Partners
The ability to apply data science to the biomedical field unlocks the door to boundless innovation and advances in personalized medicine. However, much of the potentially groundbreaking insight big data provides gets lost in translation or goes overlooked due to a lack of transdisciplinary knowledge. Strategies in Biomedical Data Science is the bridge IT professionals need to understand biomedicine, and doctors and researchers need to realize what data and today's advanced technical tools can do for them.
This forward-thinking guide for everyone working with biomedical data gives you a way to conceptualize biology, analytics, and IT without having prior training or expertise in any of them. IT and biomedical professionals from the lab to the C-suite will gain a high-level foundation of key concepts in data management and biomedical sciences that enables them to solve real-world human problems and improve patient outcomes. Coverage of cutting-edge applications and technologies throughout the book is reinforced with both case uses demonstrating how they function and case studies looking into how specific organizations use them to overcome challenges. A deep and diverse collection of contributors who practice and study where IT and medicine converge provide a full perspective on the challenges, available solutions, and future potential in the industry. Immediately get a leg up by understanding how to:
Data management is the cornerstone of future advances in individualized, patient-specific care, and this complete examination also delves into the operational ways continued advances will evolve medicine, politics, and education, including new professional positions and best practices. Medicine has not had the benefit of big data very long, and Strategies in Biomedical Data Science is your quick and complete jump-start to discover what you have been missing.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Bestandsnummer des Verkäufers 1119232198-11-1
Anbieter: HPB-Red, Dallas, TX, USA
hardcover. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_361344830
Anbieter: Toscana Books, AUSTIN, TX, USA
Hardcover. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Bestandsnummer des Verkäufers Scanned1119232198
Anbieter: INDOO, Avenel, NJ, USA
Zustand: New. Brand New. Bestandsnummer des Verkäufers 9781119232193
Anzahl: Mehr als 20 verfügbar
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New. Bestandsnummer des Verkäufers 24753584-n
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 24753584
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers FW-9781119232193
Anzahl: 1 verfügbar
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Hardcover. Zustand: new. Hardcover. An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entailsExplore the available advanced analytic resources and toolsLearn how bioinformatics as a service is quickly becoming realityExamine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves. An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781119232193
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Bestandsnummer des Verkäufers ria9781119232193_new
Anzahl: Mehr als 20 verfügbar
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: New. Bestandsnummer des Verkäufers 24753584-n
Anzahl: 2 verfügbar