Automated data integration for healthcare
Remove manual steps from data ingestion and processing with automated, standardized data pipelines for clinical, claims, enrollment or benefits data, and more.
CloverDX is source and format agnostic, so you can automatically handle data from multiple sources or clients, no matter what format you receive it in.
And with CloverDX it's easier to combine complex healthcare data formats (e.g. HL7) with any other data or systems.
Automated ingest of healthcare and insurance data
Extract and transform data from multiple sources, and in any format (including HL7/FHIR and X12 EDI).
With CloverDX you can be flexible with the type of files you receive, so whether its EHR or clinical data, data from benefits administrators, TPAs or insurers, or any other source or format, you can ingest it automatically.
- Eliminate manual effort and human error with automated, standardized workflows.
- Build once, use for multiple sources or clients - no need to start from scratch every time.
- Handle every stage of the process, from detecting arrival of new data, extracting files, identifying errors, through transforming the data however you need, and loading it - all on autopilot.
- Integrate HL7 and other healthcare data formats with different formats and systems.
- Make it easier for non-technical users to work with data.
Powerful automation and orchestration
Run data pipelines on demand, on a schedule, or on a trigger for hands-off automation.
CloverDX is flexible, open and configurable so you can build even complex workflows to run automatically.
- Powerful orchestration - handle dependencies, connecting to multiple APIs, calling other systems, and more.
- Build error detection and handling steps into your workflows. CloverDX's clear error messages make it easy to export invalid records and send back to a client.
- Handle large files without issue - CloverDX gives you powerful performance and reliability without being resource-intensive.
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Centralized monitoring and management of all jobs in one dashboard, with proactive notifications for any errors.
Stay in control of security and compliance
Working with healthcare data means complying with strict security and privacy regulations and standards such as HIPAA, GDPR or HITRUST.
CloverDX makes it easier for you to maintain control and governance.
- Deploy CloverDX in your own infrastructure - whether on-premise or in cloud. (CloverDX isn't SaaS - you're in full control over your instance and your data).
- Enterprise-level access control and permissions.
- Full audit and access logs.
- Anonymize data at the field, record or database level, and centralize management of anonymization policies.
Lower the technical barrier for users to interact with data
Free up developer time by enabling non-technical users and domain experts to take on more of the work.
- User-friendly data mapping options: While data engineers can perform mappings with code, CloverDX has dedicated interfaces for non-technical users to handle mappings in a simple GUI or in Excel, making it easier for those users to work with complex healthcare data formats.
- Automatically generate simple app interfaces: Enable users to control and interact with data pipelines via user-friendly web interfaces.
Because all CloverDX interfaces are based on the same underlying platform, inputs provided by domain experts can automatically feed back into larger data pipelines.
Read more: Data mapping with CloverDX
Onboarding customer data faster with user-friendly HL7 data mapping
Diameter Health (now Availity) refines raw patient data into high quality, actionable information, enabling healthcare organizations to realize greater value from their data.
They needed to ingest and transform complex healthcare data (HL7 v2) from multiple clients into a standardized format at scale in order to onboard customer data.
They also wanted to enable their clinical experts, who don't necessarily have coding experience, to configure what an HL7v2 file looks like and transform it into their data model.
With an automated data ingest process built in CloverDX, the analysts are able to work with a format that's familiar to them - in this case an Excel file - to define mappings.
The CloverDX pipeline 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.
“CloverDX technology enabled Diameter Health to reduce HL7v2 mapping time by 83%”
- Harvard Pan, Chief Technology Officer
Automated processing of healthcare benefits enrollment
One CloverDX customer manages benefit enrollment activity for employers, acting as an intermediary between insurance providers and healthcare consumers.
They wanted to automate the handling of EDI 834 formatted messages (the standard for healthcare benefits enrollment transactions).
The pipeline built in CloverDX accepts EDI 834 events and validates the incoming messages (returning invalid ones for correction).
The process then compares incoming messages against current records, and dispatches valid requests to the associated insurance company.
The process also generates audit reports of everything that happens, so the end client can see which reports are accepted or rejected, as well as which changes were made.
The automation process meant that the organization can now handle more business without having to scale their headcount.
Data onboarding pipelines in CloverDX
This post and associated video walk through the process of building an end-to-end customer data onboarding pipeline.
See how you can automate your data onboarding, no matter how many different formats you're receiving.
Automated data ingestion
See what the data onboarding process looks like in CloverDX, with this step-by-step walkthrough post and video.
See how you could improve ingest of healthcare data with CloverDX
Free up time, standardize processes and have non-technical users doing more of the work.