Natus Medical Inc. (Neometrics Division) pioneers newborn healthcare solutions, specializing in screening and diagnostics.
To ensure timely reporting of newborn screening between US State Department of Health’s (DOH) and hospitals, a scalable integration engine was required for HL7 data exchange.
Iguana's modular flexibility transformed Natus’ data exchange, empowered in-house expertise, and tailored integration for diverse State DOHs.
Iguana's implementation led to efficient and scalable data exchange, timely reporting and reduced manual operations.
EHRs: Epic, Cerner, Homegrown EHRs
Databases: MS SQL Server, Oracle
HL7 v2:
ADT (Demographics)
ORM (Order Message)
OML (Laboratory Order)
ORU (Observation)
LLP (Message Feed)
SFTP (Batch Files)
ODBC (Database)
Background: In the United States, infants typically undergo newborn screening tests for a range of genetic, metabolic, and endocrine conditions within their first few days of life. Using just three tests - hearing, blood, and pulse oximetry - each State department of public health (DOH) can check for 30-80 different conditions. This not only aids in early detection and diagnosis for infants, but also helps in analyzing the health of the overall population.
Natus Medical Inc., through its Neometrics Division in New York, is a leader in newborn screening and data management. They partner closely with various State DOH’s, providing both laboratory and case management systems for newborn screening.
In 2005, Natus faced challenges with their data exchange processes. They were in search of a robust integration engine capable of facilitating HL7 data communication with a range of hospital information systems (HIS), electronic medical records (EMR), and laboratory information systems (LIS) across the country. Natus aimed to address specific challenges, including:
Recognizing its capabilities, the Neometrics Division chose iNTERFACEWARE's Iguana. Renowned for its adaptability, control, and data handling expertise, Iguana offered a transformative solution for Natus. This platform allowed Natus to design and tailor interfaces dedicated to newborn screening tests for State DOHs, marrying custom integration with swift deployment.
To meet the requirements of each partnering State DOH, Natus deploys a dedicated Iguana instance in either their cloud service (Azure), or directly on premise within the local State DOH environment. Iguana ensures bidirectional HL7 data flows between various hospital systems (like EHR, HIS, or LIS) and a dedicated State DOH screening database.
When a hospital orders a lab test, they send two types of HL7v2 data: an ADT demographics message, and an ORM/OML order message. Iguana receives, parses, and validates this inbound data, and adds the relevant information to the dedicated State health department’s database. Once the test results are ready, Iguana retrieves the information from the database, and generates an ORU results message to be sent back to the requesting hospital.
Iguana in Action: With every State testing for a different set of conditions, Iguana is responsible for immense data flow demands. For example, the New York DOH screens for 60 diseases and disorders on each order placed. The subsequent HL7 ORU result messages can be very large containing 120+ segments to report complete results.
The integration of Iguana led to significant improvements:
Looking Ahead:
With a well established, robust data integration platform now in place, Natus is poised for future growth. They plan to continue scaling their Iguana implementation to support newborn screening initiatives across various State DOHs, adapting to each one's unique needs as their integration requirements evolve.
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