Metadata-driven software systems in biomedicine designing systems that can adapt to changing knowledge /
To build good systems, one needs both good development skills as well as a thorough knowledge of the problem one is trying to solve. Knowledge of software history - what has worked and what hasn't - also helps in these types of detailed projects. Metadata-Driven Software Systems in Biomedicine...
| Main Author: | Nadkarni, Prakash M. |
|---|---|
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
London ; New York :
Springer,
©2011.
London ; New York : [2011] |
| Physical Description: |
1 online resource (xix, 396 pages) : illustrations. |
| Series: |
Health informatics.
|
| Subjects: |
Table of Contents:
- What Is Metadata?
- Data Types in the Medical Record
- Metadata and the Use of XML
- Representing Structured Clinical Data
- Building the User Interface for Structured Clinical Data Capture
- Medical Decision Support Systems: General Considerations
- Challenges in Electronic Decision Support Implementation
- Infrastructure for Complex Clinical Decision Support: Rule Engines
- Decision Support Infrastructure: Workflows and Service-Oriented Architectures
- Complex Decision Support in Practice
- Extending the Entity-Attribute-Value Model
- Descriptive Metadata: An Introduction to Terminologies
- Descriptive Metadata: Implementing Large-Scale Biomedical Ontologies
- Clinical Study Data Management Systems
- Data Retrieval for Heterogeneous Data Models
- Metadata for Data Warehousing
- Biomedical Metadata Standards.