Decode Health

Decode Health is an HL7 interface engine developed by Folio3 Digital Health that functions as middleware for healthcare system integration. It standardizes and routes clinical data across disparate systems — including EHRs, LIS, HIS, RIS, CRMs, and others — by converting different data types into consistent, interoperable formats. The platform is designed for healthcare organizations of varying sizes, from hospitals and specialized clinics to pharma companies, public health organizations, and healthcare startups.

The platform addresses common interoperability challenges such as fragmented medical records scattered across EHRs, labs, and imaging systems; conflicting data formats causing mismatches between systems; growing integration complexity as organizations add partners and platforms; and legacy systems that were not built for modern data sharing.

Core Capabilities

• Centralized integration management: A single HL7 integration engine simplifies how interfaces are built and managed, reducing implementation timelines and ongoing troubleshooting effort.
• Bi-directional HL7 and FHIR exchange: Data can be pushed or pulled in both directions across systems using supported HL7 and FHIR formats.
• Bulk message processing: The system handles real-time bulk batch messages to support clinical workflows and high-volume analytics and reporting.
• Flexible data transformation: Advanced transformation normalizes messages to meet different system requirements, converting information between multiple data formats including HL7 v2, HL7 v3, FHIR, JSON, XML, CDA, CCD, X12, NCPDP, and EDI.
• Security and operational reliability: Built-in encryption, authentication, and activity logging protect sensitive healthcare data across environments.
• Consultant support: Access to integration consultants is available to assist as systems grow and integrations become more complex.
• Centralized operational dashboard: Supports management of hundreds of high-volume interfaces across geographically distributed hospital systems and labs.

Message Handling Workflow

1. Filter HL7 messages: Incoming messages are evaluated against configurable routing rules based on message type, patient identifiers, location, or trigger events, so only relevant data proceeds.
2. Parse HL7 messages: Messages are divided into a structured hierarchical model, with segments, fields, and components set for validation, mapping, and processing.
3. Transform HL7 messages: Messages are mapped and converted across versions or industry standards to enable interoperability between systems with differing data models.

Supported Data Formats

• HL7 v2 and HL7 v3
• FHIR
• CDA and CCD
• X12
• NCPDP
• EDI
• XML
• JSON

Systems and Platforms Supported

• EHR platforms: Epic, Cerner, AthenaHealth, and others
• Clinical and operational systems: HIS, LIS, RIS, BIS, PACS, and more
• Devices and applications: Medical devices, mobile apps, and wearables
• Databases: DB2, FileMaker Pro, MS Access, SQL Server, MySQL, Oracle, and others

Transport Methods

• LLP and TCP/IP
• HTTP and HTTPS
• FTP, SFTP, and FTPS
• Database connections via OCI and ODBC
• Web services including SOAP and REST
• File-based exchange
• Additional transport options supported

Target Users and Use Cases

• Hospitals and patient care centers: Connect EHR systems to imaging and lab platforms for a unified view of patient data.
• Medical imaging centers and labs: Automate high-volume exchange of orders and results with external physician groups.
• Pharma companies and CROs: Collect accurate data from multiple clinical trial sites to support research workflows.
• Public health organizations: Pull data across care networks to track health trends and support population health initiatives.
• Remote patient monitoring (RPM): Stream vitals and health data from patient homes directly into clinical workflows without manual data entry.
• Specialized clinics: Coordinate treatment by pulling consistent data from partner institutions and support networks.
• Healthcare startups and solution providers: Integrate proprietary solutions into hospital systems such as Epic or Cerner, and build products that meet interoperability standards required by large healthcare institutions.

Decode Health supports all HL7 v2.x and v3 message types, including clinical events such as ADT, ORU, and ORM, as well as administrative workflows. The platform is format-agnostic and can translate HL7 messages to and from FHIR, JSON, and XML. It is designed to scale across geographically distributed environments and is managed through a centralized operational dashboard.