Applied interdisciplinary theory in health informatics: a knowledge base for practitioners
The American Medical Informatics Association (AMIA) defines the term biomedical informatics (BMI) as: The interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated by effor...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam ; Berlin ; Washington, DC
IOS Press
[2019]
|
| Schriftenreihe: | Studies in health technology and informatics
Volume 263 |
| Schlagworte: | |
| Online-Zugang: | FHD01 |
| Zusammenfassung: | The American Medical Informatics Association (AMIA) defines the term biomedical informatics (BMI) as: The interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated by efforts to improve human health. This book: Applied Interdisciplinary Theory in Health Informatics: A Knowledge Base for Practitioners, explores the theories that have been applied in health informatics and the differences they have made. The editors, all proponents of evidence-based health informatics, came together within the European Federation of Medical Informatics (EFMI) Working Group on Health IT Evaluation and the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development. The purpose of the book, which has a foreword by Charles Friedman, is to move forward the agenda of evidence-based health informatics by emphasizing theory-informed work aimed at enriching the understanding of this uniquely complex field. The book takes the AMIA definition as particularly helpful in its articulation of the three foundational domains of health informatics: health science, information science, and social science and their various overlaps, and this model has been used to structure the content of the book around the major subject areas. The book discusses some of the most important and commonly used theories relevant to health informatics, and constitutes a first iteration of a consolidated knowledge base that will advance the science of the field |
| Beschreibung: | 1 Online-Ressource (xvi, 221 Seiten) |
| ISBN: | 9781614999911 |
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| isbn | 9781614999911 |
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| series | Studies in health technology and informatics |
| series2 | Studies in health technology and informatics |
| spelling | Applied interdisciplinary theory in health informatics a knowledge base for practitioners edited by Philip Scott, Nicolette de Keizer and Andrew Georgiou Amsterdam ; Berlin ; Washington, DC IOS Press [2019] 1 Online-Ressource (xvi, 221 Seiten) txt rdacontent c rdamedia cr rdacarrier Studies in health technology and informatics Volume 263 The American Medical Informatics Association (AMIA) defines the term biomedical informatics (BMI) as: The interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated by efforts to improve human health. This book: Applied Interdisciplinary Theory in Health Informatics: A Knowledge Base for Practitioners, explores the theories that have been applied in health informatics and the differences they have made. The editors, all proponents of evidence-based health informatics, came together within the European Federation of Medical Informatics (EFMI) Working Group on Health IT Evaluation and the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development. The purpose of the book, which has a foreword by Charles Friedman, is to move forward the agenda of evidence-based health informatics by emphasizing theory-informed work aimed at enriching the understanding of this uniquely complex field. The book takes the AMIA definition as particularly helpful in its articulation of the three foundational domains of health informatics: health science, information science, and social science and their various overlaps, and this model has been used to structure the content of the book around the major subject areas. The book discusses some of the most important and commonly used theories relevant to health informatics, and constitutes a first iteration of a consolidated knowledge base that will advance the science of the field Medical informatics Bioinformatics Bioinformatics fast Medical informatics fast Scott, Philip J. (DE-588)141065206 edt Keizer, Nicolette de edt Georgiou, Andrew edt Erscheint auch als Druck-Ausgabe 978-1-61499-990-4 Studies in health technology and informatics Volume 263 (DE-604)BV043480405 263 |
| spellingShingle | Applied interdisciplinary theory in health informatics a knowledge base for practitioners Studies in health technology and informatics Medical informatics Bioinformatics Bioinformatics fast Medical informatics fast |
| title | Applied interdisciplinary theory in health informatics a knowledge base for practitioners |
| title_auth | Applied interdisciplinary theory in health informatics a knowledge base for practitioners |
| title_exact_search | Applied interdisciplinary theory in health informatics a knowledge base for practitioners |
| title_full | Applied interdisciplinary theory in health informatics a knowledge base for practitioners edited by Philip Scott, Nicolette de Keizer and Andrew Georgiou |
| title_fullStr | Applied interdisciplinary theory in health informatics a knowledge base for practitioners edited by Philip Scott, Nicolette de Keizer and Andrew Georgiou |
| title_full_unstemmed | Applied interdisciplinary theory in health informatics a knowledge base for practitioners edited by Philip Scott, Nicolette de Keizer and Andrew Georgiou |
| title_short | Applied interdisciplinary theory in health informatics |
| title_sort | applied interdisciplinary theory in health informatics a knowledge base for practitioners |
| title_sub | a knowledge base for practitioners |
| topic | Medical informatics Bioinformatics Bioinformatics fast Medical informatics fast |
| topic_facet | Medical informatics Bioinformatics |
| volume_link | (DE-604)BV043480405 |
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