Send HL7 Message for Each Text Row

Advanced ETL Processor
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Working with patient data or healthcare integrations? With Advanced ETL Processor, you can automatically generate and send HL7 messages from structured text files like CSV, tab-delimited, or fixed-width - no scripting or HL7 expertise required.

What Is HL7?

HL7 (Health Level Seven) is a global standard for exchanging information between healthcare systems. It’s commonly used in hospitals, labs, and EMR systems to share patient, lab, and clinical data reliably and securely.

send HL7 message for each text file row workflow

Why Use Advanced ETL Processor?

  • No coding or HL7 libraries needed
  • Build HL7 messages using row-level data from CSV or TXT files
  • Supports MSH, PID, OBR, OBX and all HL7 v2.x segments
  • Send via TCP/IP (MLLP), file drop, or custom transport
  • Test, log, and automate the full process

How to Send HL7 Messages for Each Text Row

  1. Open Advanced ETL Processor
  2. Set Up a Source Directory
    Point to the folder containing your CSV or TXT file.
  3. Create a New Transformation
    Right-click your group and select New.
  4. Configure the Text File Reader
    • Specify delimiter, encoding, and field structure
    • Use file mask (e.g., *.csv)
  5. Add and Configure the HL7 Message Sender
    • Compose your HL7 structure using placeholders like %PatientID%
    • Select delivery method (TCP/IP MLLP, file, etc.)
    • Define connection settings (host, port, retry logic)
  6. Map Fields to HL7 Segments
    • Use drag-and-drop to populate MSH, PID, OBX, etc.
    • Optionally transform data types or formats
  7. Execute the Process
    • Click Execute to send HL7 messages row by row
    • Check log for acknowledgment and error tracking
  8. Automate Message Generation
    • Trigger on file arrival or schedule at fixed intervals
    • Chain with database writes, file moves, or email alerts

Safety checks before sending

  • Validate the destination field before any row leaves the workflow.
  • Run the package against a test destination before using production recipients, queues, or interfaces.
  • Keep row-level logs so failed sends can be retried without guessing what already happened.

Useful links for send automation

References

Related send automation guides

Business usage examples

Generating lab results or patient admission messages

Use each validated source row to send this message automatically and keep a row-level delivery log.

Feeding HL7 interfaces with extracted legacy data

Use each validated source row to send this message automatically and keep a row-level delivery log.

Testing HL7-based systems with real-world row data

Use each validated source row to send this message automatically and keep a row-level delivery log.

Watch It in Action

FAQ

Can Advanced ETL Processor send HL7 message for each row in a text file?

Yes. Advanced ETL Processor can read the text file, map each row, send HL7 messages, and log the result in a self-hosted workflow.

Can messages be personalised per row?

Yes. Source columns can be mapped into recipients, subjects, message bodies, phone numbers, queue payloads, HL7 fields, labels, identifiers, and attachment rules.

Can failed sends be logged?

Yes. The workflow can record row number, recipient or destination, payload details, send status, timestamp, retry count, and the exact error returned by the provider or queue.

Can failed rows be retried?

Yes. You can configure retry logic and keep failed rows visible for review instead of burying failures in a mailbox, queue, or desktop script.

Can send workflows run on a schedule?

Yes. A package can run on a schedule, after file arrival, or as part of a larger ETL workflow that prepares the source rows first.

What should I test before enabling a send workflow?

Test a small source file with valid rows, missing recipients, invalid numbers or destinations, duplicate rows, and one deliberate failure. Schedule the workflow only when the logs are clear.

When should row-based sending not be automated yet?

Do not automate it until the input columns, message rules, destination rules, consent or compliance requirements, retry behaviour, and failure handling are clear.

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By DB Software Laboratory Last updated