Hands-On Healthcare Data: Taming the Complexity of Real-World Data
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"This book captures the complexity of healthcare data that impacts decisions in patient care, brings new scientific discoveries, and improves the industry as a whole. You'll learn best practices and new possibilities to collect, transform, and analyze healthcare data."
Lukasz Kaczmarek
Medical Informatics Architect, Roche
The technical content and examples make it a perfect complement to medical informatics textbooks. While textbooks end up being more of a reference, Hands-On Healthcare Data is a real workbook. It should be required reading for anyone interested in health informatics, or in applications of analytics in healthcare. I'm delighted to have this resource available for my classes in biomedical informatics. Superb work!
William Bosl
Professor of Health Informatics and Data Science, University of San Francisco
Lecturer in Pediatrics, Harvard Medical School
Faculty Research Scientist, Boston Children's Hospital
I have read this from cover to cover, and I found it to be very enlightening and practical. Andrew Nguyen does an excellent job of shaping our understanding of healthcare data in a very understandable way.
He raises our awareness of many of the pitfalls we might encounter working with healthcare data. He covers really critical topics that don't get enough coverage elsewhere, such as the Unified Medical Language System. He highlights the tremendous utility that graph databases have for medical data.
If any data scientist is getting ready to work on their first project with healthcare data, I would say this book is indispensable. Likewise for any clinician taking a dive into clinical data science. Really strong work!
Tim McLerran, DO
Co-Founder and Head of Product, Medical Intelligence One
Lukasz Kaczmarek
Medical Informatics Architect, Roche
The technical content and examples make it a perfect complement to medical informatics textbooks. While textbooks end up being more of a reference, Hands-On Healthcare Data is a real workbook. It should be required reading for anyone interested in health informatics, or in applications of analytics in healthcare. I'm delighted to have this resource available for my classes in biomedical informatics. Superb work!
William Bosl
Professor of Health Informatics and Data Science, University of San Francisco
Lecturer in Pediatrics, Harvard Medical School
Faculty Research Scientist, Boston Children's Hospital
I have read this from cover to cover, and I found it to be very enlightening and practical. Andrew Nguyen does an excellent job of shaping our understanding of healthcare data in a very understandable way.
He raises our awareness of many of the pitfalls we might encounter working with healthcare data. He covers really critical topics that don't get enough coverage elsewhere, such as the Unified Medical Language System. He highlights the tremendous utility that graph databases have for medical data.
If any data scientist is getting ready to work on their first project with healthcare data, I would say this book is indispensable. Likewise for any clinician taking a dive into clinical data science. Really strong work!
Tim McLerran, DO
Co-Founder and Head of Product, Medical Intelligence One
About the Author
Andrew Nguyen has been working at the intersection of healthcare data and machine learning for over a decade. He quickly discovered graph databases and has been using them to harmonize disparate data sources for nearly as long. Andrew holds a PhD in Biological and Medical Informatics from UCSF and a BS in Electrical and Computer Engineering from UCSD. He has worked for a variety of organizations, from academia to startups. He is currently a Principal Medical Informatics Architect at one of the largest biopharma companies in the world, where he is designing scalable solutions to harmonize healthcare real world data sources for machine learning and advanced analytics.
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