The Data Analytics with SNOMED CT guide reviews current approaches, tools and techniques for performing data analytics using SNOMED CT and to share developing practice in this area. It is anticipated that this report will benefit members, vendors and users of SNOMED CT by promoting a greater awareness of both what has been achieved, and what can be achieved by using SNOMED CT to enhance analytics services.
Web browsable version: http://snomed.org/analytics
SNOMED CT Document Library: http://snomed.org/doc
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Contents
1 Executive Summary
2 Introduction
3 Analytics Overview
4 SNOMED CT Overview
- 4.1 Concepts
- 4.2 Descriptions
- 4.3 Relationships
- 4.4 Concept Model
- 4.5 Expressions
- 4.6 Reference Sets
- 4.7 Description Logic Features
- 4.8 Benefits of Using SNOMED CT for Analytics
5 Preparing Data for Analytics
6 SNOMED CT Analytic Techniques
- 6.1 Subsets
- 6.2 Subsumption
- 6.3 Using Defining Relationships
- 6.4 Description Logic Over Terminology
- 6.5 Description Logic Over Terminology and Structure
- 6.6 Using Statistical Classifications
7 Task-Oriented Analytics
8 Data Architectures
- 8.1 Patient Records for Analytics
- 8.2 Data Warehouse
- 8.3 Virtual Health Record
- 8.4 Distributed Storage and Processes
9 Database Queries
10 User Interface Design
11 Challenges
- 11.1 Reliability of Patient Data
- 11.2 Terminology / Information Model Boundary Issues
- 11.3 Concept Definition Issues
- 11.4 Versioning
12 Appendix - Analytics Case Studies
Previous Versions
Recent Updates
Feedback
Overview
Content Tools
Apps