About the Client
The outcome of the clients Decision Support system was a list of laboratory tests that patients must undergo. This was provided in physical format that patients carried to the lab, where details were manually inputted into the lab service providers online system. This was prone to manual error.
The client wanted to reduce the time taken for sending lab orders and receiving lab results, and wanted to automate data exchange via the widely used HL7 standard for exchange, integration, sharing, and retrieval of electronic health information.
The client selected Silicus to help with the HL7 integration, based on our track record of successfully integrating HL7 for several other healthcare customers.
As part of the HL7 implementation, Silicus established the scope of HL7 work, including identifying the required interfaces, content review and review of ADT workflows.
Silicus developed an HL7 Lab interoperability framework using an HL7 parser and Mirth Connect. Mirth Connect is a cross-platform HL7 interface engine that enables bi-directional HL7 messages between systems and applications over multiple transports.
The HL7 interface was built to properly handle content and field locations for medical record numbers, accounts etc.
HL7 was leveraged to design a data exchange mechanism where lab test details for laboratories was generated via HL7 v2 lab orders (ORM order messages), and lab results were exchanged via HL7 v2 lab results (ORU Observation results messages). The framework also validated the Lab results for patient demographics, referring provider, lab order references, test results etc. before it was sent back to the respective provider.
The implementation underwent exhaustive connectivity testing, where the source system and destination system were connected at a port level tested for data transmission. Sending HL7 data across those ports validates there are no network barriers to receiving the HL7 content.
SQL Server 2008
HL7 Interface Engine
SQL Server Reporting Services
Business Process Efficiency
The Mirth based HL7 implementation eliminate manual effort in sending and review lab orders and results, and drove higher accuracy and turn-around time.
Sending lab orders electronically helped satisfy Meaningful Use Stage 2 CPOE requirements.