Transforming Healthcare Workflows with HL7 V2 Integration Transforming Healthcare Workflows with HL7 V2 Integration

How HL7 V2 is Configured in Healthcare Systems like EHRs?

The configuration of compliance regulations like HL7 v2 or FHIR is a critical step in enabling data exchange and interoperability. Often the whole process can be tiring and complex to implement which can also lead to different issues and errors. Let’s fix this by understanding the configuration process based on the context of a third-party app integration;

EHRs Implementation

EHR systems have completely digitized patient records, eliminating manual effort and paper trails. EHR systems are implemented in the operations to communicate with other existing systems. That’s where HL7 standards play their role. The standards translate the data, allowing data exchange between different systems and offering compliance and data security.

If we take the example of EPIC as our primary EHR system implemented in the hospital’s administration. The EPIC Client System Administrator (ECSA) plays an important role in configuring HL7 interfaces within the EHR system to provide data exchange with the external/ vendor application.

Establishing API Gateway Endpoints

API gateway endpoints serve as the entry points receiving HL7 messages from external sources. They ensure a secure and reliable transmission of these messages to the EHR system. The organizations can establish a standardized and controlled approach for external systems to communicate with EHR systems.

These endpoints provide a layer of protection by validating the incoming HL7 messages. The interconnected administrator will enable the necessary API required for integration. It can be either Hyperspace or Citrix administrator to assist with the configuration of the vendor app.

Transmission to AWS SQS

Once HL7 V2 messages have been transmitted to the API gateway endpoint, they undergo further processing through a well-established mechanism. These messages are forwarded to AWS SQS, which acts as a reliable and efficient queueing system. The AWS SQS is important to manage the flow of messages within the integrated architecture. It temporarily stores the HL7 messages in the queue, while ensuring protection in the processing.

The EHRs can efficiently handle large volumes of messages and distribute workloads across various other components with the help of AWS SQS.

Processing and Integrations

The after-process includes the extraction of medical data or clinical observations. It enables the integration within the EHR system to relevantly map out the processed HL7 data to patient records. This mapping process ensures the extracted data is correctly associated with the corresponding patient, allowing easy access and usage within the healthcare workflows.

Now this HL7 data helps healthcare providers to make informed decisions, provide appropriate care, and streamline complex workflows.

HL7 Parsing

All the interpreting processes of incoming messages and extraction depend on the parsing mechanisms. It involves systematically parsing HL7 segments, fields, and components to understand the data and integrate it into the system’s database.

The parsing identifies and separates the different categories of data in HL7 messages. This whole process helps the EHR system like EPIC understand the information in the HL7 message and appropriately store it in the database. Now healthcare providers, have updated data to make clinical decisions, ensuring interoperability across the different systems and organizations.

Sandbox Testing and Validation

Before launching the HL7 V2 configurations into a production environment, sandbox environments are used to test and validate the process. These environments serve as controlled testing environments where the compatibility of HL7 V2 configurations with external applications, can be monitored.

It involved various real-world scenarios by sending sample messages for testing. The messages are used to validate different aspects of the integration process. The developers can test the functionality and accuracy of the integration. This helps reduce errors and ensures the smooth workflow of the integration.

Production Environment Integration

Now we have done successful testing in the sandbox environment, the HL7 configurations are ready to be launched in the production environment. Now the deployment enables real-time data exchange between the EHR system and vendor applications.