Restructuring the Pipeline

Oct 13, 2025 by pinkandtrash.com 90 views

Introduction

In the current implementation of the processing service, batch processing is handled independently for each patient batch. However, this approach has limitations, and a more modular and reusable pipeline is required. In this article, we will explore the current implementation, identify the issues, and propose a restructured pipeline that can be decoupled from file interaction and reused for any patient batch with consent.

Current Implementation

The current implementation of the processing service handles all patient batches independently and at the end handles the core bundle independently. This approach has several issues:

Tight Coupling: The processing service is tightly coupled with the file system, making it difficult to test and maintain.
Limited Reusability: The service is designed to handle patient batches independently, making it challenging to reuse the logic for other types of data.
Complexity: The service handles multiple tasks, including file interaction, data extraction, and redaction, which can lead to complexity and errors.

Restructuring the Pipeline

To address the issues mentioned above, we propose a restructured pipeline that can be decoupled from file interaction and reused for any patient batch with consent. The new pipeline will consist of the following components:

Data Extraction and Redaction Service

This service will be responsible for extracting and redacting data from the patient batch. It will be designed to be reusable for any patient batch with consent, regardless of the file format or location.

Reference Resolver

This component will be responsible for resolving references in the patient batch. It will be designed to be decoupled from the file system, allowing for easier testing and maintenance.

Core Bundle Handler

This component will be responsible for handling the core bundle independently. It will be designed to be reusable for any patient batch with consent.

Designing the New Pipeline

To design the new pipeline, we will follow these steps:

Extract the Logic: Extract the logic from the processing service that is responsible for data extraction, redaction, and reference resolution.
Decouple from File Interaction: Decouple the extracted logic from file interaction, allowing for easier testing and maintenance.
Design the Data Extraction and Redaction Service: Design the data extraction and redaction service to be reusable for any patient batch with consent.
Design the Reference Resolver: Design the reference resolver to be decoupled from the file system.
Design the Core Bundle Handler: Design the core bundle handler to be reusable for any patient batch with consent.

Implementation

To implement the new pipeline, we will follow these steps:

Create the Data Extraction and Redaction Service: Create the data extraction and redaction service using the extracted logic.
Implement the Reference Resolver: Implement the reference resolver using a decoupled approach.
Implement the Core Bundle Handler: Implement the core bundle handler using a reusable approach.
Integrate the Components: Integrate the components into the new pipeline.

Benefits

The restructured pipeline will provide several benefits, including:

Improved Reusability: The pipeline will be reusable for any patient batch with consent, reducing development time and increasing efficiency.
Decoupled from File Interaction: The pipeline will be decoupled from file interaction, making it easier to test and maintain.
Simplified Complexity: The pipeline will be simplified, reducing complexity and errors.

Conclusion

In conclusion, the current implementation of the processing service has several issues, including tight coupling, limited reusability, and complexity. To address these issues, we propose a restructured pipeline that can be decoupled from file interaction and reused for any patient batch with consent. The new pipeline will consist of the data extraction and redaction service, reference resolver, and core bundle handler. By following the design and implementation steps outlined in this article, we can create a more modular, reusable, and maintainable pipeline.

Future Work

Future work will focus on implementing the new pipeline and testing its functionality. Additionally, we will explore ways to further improve the pipeline, including:

Adding Support for Multiple File Formats: Adding support for multiple file formats will increase the pipeline's reusability and flexibility.
Implementing Advanced Data Extraction and Redaction Techniques: Implementing advanced data extraction and redaction techniques will improve the pipeline's accuracy and efficiency.
Integrating with Other Systems: Integrating the pipeline with other systems will increase its functionality and usability.

References

Processing Service
Batch Processing Pipeline
Check and Restructure Pipeline: Q&A =====================================

Introduction

In our previous article, we explored the current implementation of the processing service and proposed a restructured pipeline that can be decoupled from file interaction and reused for any patient batch with consent. In this article, we will answer some frequently asked questions (FAQs) about the restructured pipeline.

Q: What are the main benefits of the restructured pipeline?

A: The restructured pipeline provides several benefits, including improved reusability, decoupling from file interaction, and simplified complexity. This will reduce development time, increase efficiency, and make the pipeline easier to test and maintain.

Q: How will the data extraction and redaction service be designed?

A: The data extraction and redaction service will be designed to be reusable for any patient batch with consent. It will be responsible for extracting and redacting data from the patient batch, and will be decoupled from file interaction.

Q: What is the role of the reference resolver in the restructured pipeline?

A: The reference resolver will be responsible for resolving references in the patient batch. It will be designed to be decoupled from the file system, allowing for easier testing and maintenance.

Q: How will the core bundle handler be designed?

A: The core bundle handler will be responsible for handling the core bundle independently. It will be designed to be reusable for any patient batch with consent.

Q: What are the next steps in implementing the restructured pipeline?

A: The next steps in implementing the restructured pipeline will include:

Implementing the data extraction and redaction service: This will involve creating the service using the extracted logic and decoupling it from file interaction.
Implementing the reference resolver: This will involve creating the reference resolver using a decoupled approach.
Implementing the core bundle handler: This will involve creating the core bundle handler using a reusable approach.
Integrating the components: This will involve integrating the components into the new pipeline.

Q: How will the restructured pipeline be tested?

A: The restructured pipeline will be tested using a combination of unit tests, integration tests, and system tests. This will ensure that the pipeline is functioning correctly and meets the required specifications.

Q: What are the potential risks and challenges associated with the restructured pipeline?

A: The potential risks and challenges associated with the restructured pipeline include:

Complexity: The pipeline may become more complex, which can lead to errors and difficulties in maintenance.
Integration issues: Integrating the components into the new pipeline may be challenging.
Testing difficulties: Testing the pipeline may be difficult due to its complexity.

Q: How will the restructured pipeline be maintained and updated?

A: The restructured pipeline will be maintained and updated using a combination of continuous integration, continuous deployment, and continuous monitoring. This will ensure that the pipeline remains up-to-date and functioning correctly.

Conclusion

In conclusion, the restructured pipeline provides several benefits, including improved reusability, decoupling from file interaction, and simplified complexity. The pipeline will be designed to be reusable for any patient batch with consent, and will be implemented using a combination of unit tests, integration tests, and system tests. The potential risks and challenges associated with the pipeline include complexity, integration issues, and testing difficulties. However, these risks can be mitigated using a combination of continuous integration, continuous deployment, and continuous monitoring.

Future Work

Future work will focus on implementing the restructured pipeline and testing its functionality. Additionally, we will explore ways to further improve the pipeline, including:

Adding support for multiple file formats: Adding support for multiple file formats will increase the pipeline's reusability and flexibility.
Implementing advanced data extraction and redaction techniques: Implementing advanced data extraction and redaction techniques will improve the pipeline's accuracy and efficiency.
Integrating with other systems: Integrating the pipeline with other systems will increase its functionality and usability.