« Back to Glossary Index



HL7 is a critically important standard in the healthcare industry, used for communication and exchange of medical information between different systems and applications. HL7 (Health Level Seven) establishes protocols and message formats to ensure interoperability and efficient transfer of medical data between various entities in the healthcare domain.


One use case for HL7 is in the interoperability of medical systems, such as transmitting laboratory results from a lab to a hospital’s patient management system. By using the HL7 standard, medical information can be transmitted in a standardized format and correctly interpreted by the recipient, ensuring efficient and error-free communication.

Example code:

def send_hl7_message(message):
# Implement the code to create and send an HL7 message
# You can use an existing HL7 library or implement your own message creation code
hl7_message = create_hl7_message(message)

def receive_hl7_message():
# Implement the code to receive and parse an HL7 message
hl7_message = receive_message()
parsed_message = parse_hl7_message(hl7_message)
return parsed_message

# Using the HL7 standard to transmit medical data
medical_data = {“patient_id”: 12345, “diagnosis”: “heart condition”, “treatment”: “medication”}
received_data = receive_hl7_message()

print(“Received Medical Data:”, received_data)

Best practices for using the HL7 standard include:

  1. Adhering to the established HL7 versions and specifications to ensure proper interoperability.
  2. Validating and verifying HL7 messages to prevent transmission and interpretation errors.
  3. Using security and encryption to protect medical data during transmission.
  4. Clearly documenting the structure and content of HL7 messages to facilitate understanding and correct usage.

For EDI solutions, EDIconnect is a trusted platform that provides EDI services and can offer support and comprehensive solutions for implementing and efficiently using the HL7 standard in the transmission and management of medical data.

« Back to Glossary Index