Automated healthcare data ingestion for Diameter Health

Diameter Health (now part of Availity) refines raw patient data into high quality, actionable information at scale for healthcare organizations. With the help of CloverDX they have made their data processes, and their customer onboarding, more efficient.

The Challenge

Diameter Health faced was how to turn this real-world, non-standard HL7v2 into something standard, at scale, across a number of customers. They needed a data ingestion process that could handle these variations, without requiring lots of extra development work.

They also wanted to enable their clinical experts, who don't necessarily have coding experience, to configure what an HL7v2 file looks like, transform it into their data model, and then send to their APIs.

The data format that the healthcare industry uses - HL7v2 - can be complex, with significant variability in how it's used.

Harvard Pan, Chief Technology Officer at Diameter Health,
outlines the problem:

3 Main Goals

1. Onboard customers (and their data) to the Diameter Health platform more quickly
2. Manage complex variations in data formats, configurably and transparently
3. Improve Diameter Health team productivity with scalable processes and technology

How did CloverDX helped Diameter Health automate HL7v2 data ingestion?

• Data mapping solution based on CloverDX provides clinical experts an Excel‑based mapping file that can easily be processed automatically

• CloverDX digests the mapping document, and maps incoming HL7 messages onto target JSON structures that are consumed by the Diameter Health platform’s REST API

• Reporting and status monitoring included as part of the automated system

• Data ingest and orchestration of data movement managed automatically through CloverDX – delivering cost savings and better resource allocation

Results

CloverDX enabled Diameter Health to reduce HL7v2 mapping time by 83%

The project they worked on with CloverDX dealt with the transformation of the HL7v2 documents into Diameter Health's JSON model, and also with building a configurable interface to enable analysts to have input into the data ingestion process. 

The analysts are able to work with a format that's familiar to them - in this case an Excel file - to define mappings.

As part of the automated data ingest process, CloverDX digests the mapping document and automatically maps incoming HL7 messages onto target JSON structures, that are then consumed by Diameter Health platform's REST API.

With the CloverDX solution, Diameter Health are now able to present their customers with an out-of-the-box solution where they don't need to spend extra effort and IT cost. As Harvard Pan explains:

And one of the main benefits is that the whole process of delivering value to a customer is much quicker, with Diameter Health being able to have more control over the process.