This 3rd edition of Evaluation Methods in Biomedical and Health Informatics has been extensively revised and expanded. It builds on a solid foundation of evaluation theory to explain methods and techniques within health informatics, using many examples, real-world case studies and numerous self-tests with answers. Expanded to 20 rather than 12 chapters, new chapters have been added on qualitative methods, ethics, mixed methods, evidence-based informatics and how to conduct evaluation studies using routine, real-world data. Designed as a practical guide for masters and PhD students, informatics researchers and seasoned professionals seeking a comprehensive resource, this book describes health and biomedical information resource evaluation in a practical stepwise manner. Critiques and discussion of actual evaluation studies help to build the reader's knowledge of the judicious application of the techniques described.
As information and communications technologies take on increasingly central roles in self-care, healthcare, biomedical research and education, understanding how to design and carry out successful rigorous evaluation studies becomes more imperative. Evaluation Methods in Biomedical and Health Informatics is an unparalleled reference for a broad range of health information professionals and is usable as both a textbook to support formal courses and a reference book for researchers and practitioners. From those training for careers in informatics to on-site biomedical information systems staff, this is an invaluable guide to the successful evaluation of digital healthcare, eHealth, telemedicine, electronic health records and other clinical and non-clinical information systems.
ISBN: | 9783030864521 |
Publication date: | 11th February 2022 |
Author: | Charles P Friedman, J Wyatt, Joan Ash, Charles P Friedman |
Publisher: | Springer an imprint of Springer International Publishing |
Format: | Hardback |
Pagination: | 527 pages |
Series: | Health Informatics |
Genres: |
Computer applications in industry and technology Computational biology / bioinformatics |