Metadata-driven Software Systems in Biomedicine (eBook)
XX, 396 Seiten
Springer London (Verlag)
978-0-85729-510-1 (ISBN)
While the use of database technology is ubiquitous throughout IT (and health IT in particular), it is not generally appreciated that, as a database increases in scope, certain designs are far superior to others. In biomedical domains, new knowledge is being generated continually, and the databases that must support areas such as clinical care and research must also be able to evolve while requiring minimal or no logical / physical redesign. Appropriately designed metadata, and software designed to utilize it effectively, can provide significant insulation against change.
Many of the larger EMR or clinical research database vendors have realized this, but their designs are proprietary and not described in the literature. Consequently, numerous misconceptions abound among individuals who have not had to work with large-scale biomedical systems, and graduates of a health or bioinformatics program may find that they need to unlearn what they were taught in database and software design classes in order to work productively with such systems. A working knowledge of such systems is also important for individuals who are not primarily software developers, such as health informaticians, medical information officers and data analysts. This book is, in a sense, intended to prepare all of the above individuals for the real world.
While the use of database technology is ubiquitous throughout IT (and health IT in particular), it is not generally appreciated that, as a database increases in scope, certain designs are far superior to others. In biomedical domains, new knowledge is being generated continually, and the databases that must support areas such as clinical care and research must also be able to evolve while requiring minimal or no logical / physical redesign. Appropriately designed metadata, and software designed to utilize it effectively, can provide significant insulation against change.Many of the larger EMR or clinical research database vendors have realized this, but their designs are proprietary and not described in the literature. Consequently, numerous misconceptions abound among individuals who have not had to work with large-scale biomedical systems, and graduates of a health or bioinformatics program may find that they need to unlearn what they were taught in database and software design classes in order to work productively with such systems. A working knowledge of such systems is also important for individuals who are not primarily software developers, such as health informaticians, medical information officers and data analysts. This book is, in a sense, intended to prepare all of the above individuals for the real world.
Metadata-driven Software Systems in Biomedicine 4
Copyright Page 5
Preface 6
Acknowledgments 10
Contents 12
1: What Is Metadata? 22
2: Data Types in the Medical Record 38
3: Metadata and the Use of XML 53
4: Representing Structured Clinical Data 74
5: Building the User Interface for Structured Clinical Data Capture 93
6: Medical Decision Support Systems: General Considerations 127
7: Challenges in Electronic Decision Support Implementation 141
8: Infrastructure for Complex Clinical Decision Support: Rule Engines 161
9: Decision Support Infrastructure: Workflows and Service-Oriented Architectures 174
10: Complex Decision Support in Practice 193
11: Extending the Entity-Attribute-Value Model 209
12: Descriptive Metadata: An Introduction to Terminologies 242
13: Descriptive Metadata: Implementing Large-Scale Biomedical Ontologies 264
14: Clinical Study Data Management Systems 288
15: Data Retrieval for Heterogeneous Data Models 308
16: Metadata for Data Warehousing 374
17: Biomedical Metadata Standards 388
Index 402
Erscheint lt. Verlag | 27.5.2011 |
---|---|
Reihe/Serie | Health Informatics | Health Informatics |
Zusatzinfo | XX, 396 p. |
Verlagsort | London |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Medizin / Pharmazie ► Allgemeines / Lexika | |
Medizin / Pharmazie ► Gesundheitswesen | |
Medizin / Pharmazie ► Medizinische Fachgebiete ► Allgemeinmedizin | |
Technik ► Medizintechnik | |
Schlagworte | biomedicine • Metadata |
ISBN-10 | 0-85729-510-1 / 0857295101 |
ISBN-13 | 978-0-85729-510-1 / 9780857295101 |
Haben Sie eine Frage zum Produkt? |
Größe: 6,7 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Zusätzliches Feature: Online Lesen
Dieses eBook können Sie zusätzlich zum Download auch online im Webbrowser lesen.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich