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iNTERFACEWARE Products Manual > Chameleon > Designing HL7 Interfaces > Five Steps to Building HL7 Interfaces > Design the Message, Segment and Table Grammar > Extracting a Small Data Subset > Treating Discrete HL7 Messages as One Logical Message

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About This Manual

HL7 Overview

Iguana

Chameleon

Getting Started

Chameleon Overview

Chameleon Interface

Learning the Basics

Using Python Scripting

HL7 <-> HL7 Transformation

XML <-> HL7 Translation

Learning the Advanced Features

Using the Tools and Utility Applications

Deploying Chameleon Applications

Tutorials and Exercises

Sample Applications

Designing HL7 Interfaces

Five Steps to Building HL7 Interfaces

Acquire Real Data

Analyze the Data

Design the Message, Segment and Table Grammar

Getting Smart About Standards

How Much Information is Necessary?

Extracting a Small Data Subset

Ignoring Messages

Treating Discrete HL7 Messages as One Logical Message

Using Minimal Segment Grammars with Filtering

Extracting Almost Everything

Designing, Coding, and Deployment

Regression Testing

Interface Types

Implementation Considerations

Using Multi-Threading Intelligently

Performance (Speed) Considerations

Dealing with Multiple Vendors

Transport Design Issues

Troubleshooting

Unix Support

Language API Documentation

How to Report Problems

Treating Discrete HL7 Messages as One Logical Message

Rather than thinking of discrete HL7 messages such as ADT^A01, ADT^A03 or ADT^A08, it can be much more useful to group several distinct HL7 messages that you are receiving into one logical message. This can be done through the use of regular expressions to match the codes that you are expecting. For more information, see Using Regular Expressions.

	iNTERFACEWARE Products Manual > Chameleon > Designing HL7 Interfaces > Five Steps to Building HL7 Interfaces > Design the Message, Segment and Table Grammar > Extracting a Small Data Subset > Treating Discrete HL7 Messages as One Logical Message
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