Preface

Cover image This is a book about the Observational Health Data Sciences and Informatics (OHDSI) collaborative. The OHDSI community wrote the book to serve as a central knowledge repository for all things OHDSI. The Book is a living document, community-maintained through open-source development tools, and evolves continuously. The online version, available for free at http://book.ohdsi.org, always represents the latest version. A physical copy of the book is available from Amazon at cost price.

Goals of this Book

This book aims to be a central knowledge repository for OHDSI, and it focuses on describing the OHDSI community, OHDSI data standards, and OHDSI tools. It is intended both for both OHDSI newcomers and veterans alike, and aims to be practical, providing the necessary theory and subsequent instructions on how to do things. After reading this book you will understand what OHDSI is, and how you can join the journey. You will learn what the common data model and standard vocabularies are, and how they can be used to standardize an observational healthcare database. You will learn the three main use cases for these data: characterization, population-level estimation, and patient-level prediction. You will read about OHDSI’s open-source tools that support all three activities and how to use those tools. Chapters on data quality, clinical validity, software validity, and method validity will explain how to establish the quality of the generated evidence. Lastly, you will learn how to use the OHDSI tools to execute these studies in a distributed research network.

Structure of the Book

This book is organized in five major sections:

  1. The OHDSI Community
  2. Uniform data representation
  3. Data Analytics
  4. Evidence Quality
  5. OHDSI Studies

Each section has multiple chapters, and, as appropriate, each chapter follows the sequence: Introduction, Theory, Practice, Summary, and Exercises.

Contributors

Each chapter lists one or more chapter leads. These are the people who lead the writing of the chapter. However, there are many others that have contributed to the book, whom we would like to acknowledge here:

Hamed Abedtash Mustafa Ascha Mark Beno
Clair Blacketer David Blatt Brian Christian
Gino Cloft Frank DeFalco Sara Dempster
Jon Duke Sergio Eslava Clark Evans
Thomas Falconer George Hripcsak Vojtech Huser
Mark Khayter Greg Klebanov Kristin Kostka
Bob Lanese Wanda Lattimore Chun Li
David Madigan Sindhoosha Malay Harry Menegay
Akihiko Nishimura Ellen Palmer Nirav Patil
Jose Posada Nicole Pratt Dani Prieto-Alhambra
Christian Reich Jenna Reps Peter Rijnbeek
Patrick Ryan Craig Sachson Izzy Saridakis
Paola Saroufim Martijn Schuemie Sarah Seager
Anthony Sena Chan Seng You Sunah Song
Matt Spotnitz Marc Suchard Joel Swerdel
Devin Tian Don Torok Kees van Bochove
Mui Van Zandt Erica Voss Kristin Waite
Mike Warfe Jamie Weaver James Wiggins
Andrew Williams Chan You Seng

Software Versions

A large part of this book is about the open-source software of OHDSI, and this software will evolve over time. Although the developers do their best to offer a consistent and stable experience to the users, it is inevitable that over time improvements to the software will render some of the instructions in this book outdated. The community will update the online version of the book to reflect those changes, and new editions of the hard copy will be released over time. For reference, these are the version numbers of the software used in this version of the book:

  • ACHILLES: version 1.6.6
  • ATLAS: version 2.7.3
  • EUNOMIA: version 1.0.0
  • Methods Library packages: see Table 0.1
Table 0.1: Versions of packages in the Methods Library used in this book.
Package Version
CaseControl 1.6.0
CaseCrossover 1.1.0
CohortMethod 3.1.0
Cyclops 2.0.2
DatabaseConnector 2.4.1
EmpiricalCalibration 2.0.0
EvidenceSynthesis 0.0.4
FeatureExtraction 2.2.4
MethodEvaluation 1.1.0
ParallelLogger 1.1.0
PatientLevelPrediction 3.0.6
SelfControlledCaseSeries 1.4.0
SelfControlledCohort 1.5.0
SqlRender 1.6.2

License

This book is licensed under the Creative Commons Zero v1.0 Universal license.

How the Book Is Developed

The book is written in RMarkdown using the bookdown package. The online version is automatically rebuilt from the source repository at https://github.com/OHDSI/TheBookOfOhdsi through the continuous integration system “travis”. At regular intervals a snapshot is taken of the state of the book and marked as an “edition.” These editions will be available as physical copies from Amazon.