Public Health Informatics and Information Systems,

This 3rd edition of a classic textbook examines the context and background of public health informatics, explores the technology and science underlying the field, discusses challenges and emerging solutions, reviews many key public health information systems, and includes practical, case-based studies to guide the reader through the topic. The editors have expanded the text into new areas that have become important since publication of the previous two editions due to changing technologies and needs in the field, as well as updating and augmenting much of the core content. The book contains learning objectives, overviews, future directions, and review questions to assist readers to engage with this vast topic. The Editors and their team of well-known contributors have built upon the foundation established by the previous editions to provide the reader with a comprehensive and forward-looking review of public health informatics.

The breadth of material in Public Health Informatics and Information Systems, 3^rd edition makes it suitable for both undergraduate and graduate coursework in public health informatics, enabling instructors to select chapters that best fit their students’ needs.

Dr. Magnuson is an informaticist with an extensive background in public health, teaching, and research. Her fields of experience include academia (faculty and graduate advisor), state public health (health informatics architect), and private industry (genomic informatics system engineer).

Dr. Dixon currently serves as the Director of the Public Health Informatics Program and a Research Scientist at the Regenstrief Institute in addition to his role as Associate Professor at the Indiana University (IU) Fairbanks School of Public Health. Dr. Dixon’s research focuses on applying informatics methods and tools to improve population health in clinical as well as public health organizations. His work leverages clinical and administrative data in electronic health records to measure population health, better understand the determinants of health, examine information flow in the health system, and improve outcomes in individuals and populations. Previously, Dr. Dixon developed health information applications and systems, including tools supporting the standard clinical vocabulary LOINC®, technology supporting the automated reporting of notifiable conditions to public health agencies, and tools for querying large clinical data repositories.