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Developing EDI messages and supporting data models: a "bottom up" approach based on "single business purpose"
1National Health Service Executive Headquarters, Information Management Group, Data Interchange Standards Programme, Eastwood Park, Falfield, Wotton under Edge, Gloucestershire GL12 8DA, England.
This study advocates for using numerous simple, single-purpose Electronic Data Interchange (EDI) messages instead of large, complex ones. It questions the current approach of basing EDI message content on a predefined healthcare system model.
Area of Science:
- Health Informatics
- Information Systems
- Healthcare Administration
Background:
- Electronic Data Interchange (EDI) is crucial for exchanging patient, administrative, and clinical data.
- Current literature lacks criteria for defining the scope of individual EDI messages.
- Existing approaches focus on large, framework messages and predefined healthcare models.
Purpose of the Study:
- To propose an alternative approach to defining EDI message content.
- To argue for the development of discrete, single-purpose EDI messages.
- To critically evaluate the prevailing method of using a predefined healthcare delivery system model.
Main Methods:
- Literature review on EDI message modeling and scope definition.
- Analysis of existing EDI message development approaches in Europe and the US.
- Examination of the Open EDI Group's work and user acceptance of developed messages.
Main Results:
- The paper argues for a greater number of discrete, simpler single-purpose EDI messages over superset framework messages.
- The validity of using a predefined 'model of the healthcare delivery system' for EDI message content is questioned.
- Early user acceptance of messages developed using the advocated approach is noted.
Conclusions:
- A modular approach with simpler, single-purpose EDI messages is recommended for better definition and modeling.
- Rethinking the foundational models for EDI message content is necessary.
- Further research and adoption of this approach can improve healthcare data exchange.
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