Healthcare Interoperability solution development

Adopting standards-based data exchange

Edenlab applies standard data formats like FHIR, HL7 v2/v3, CDA, openEHR, and X12 to enable structured and reliable data exchange across systems. These formats allow us to align data models, ensure semantic clarity, and support both synchronous and asynchronous workflows.

Evolving vendor-specific
systems

For organizations operating on proprietary frameworks, Edenlab offers a pragmatic upgrade path. Our ELT tools and custom facades handle virtually any data format and custom flat files — enabling seamless transformation and mapping to share or enrich your data.

Joining trusted HIEs/HINs

Edenlab onboards you to national and private exchanges such as eHealth Exchange, CRISP, QHIN™, Epic Care Everywhere, Oracle Health, NHS Spine, Gematik TI, MedMij, and eHealth Ukraine. We handle the policy mapping, security assertions, and adapter development needed to move data seamlessly within these networks.

Plug-and-play with open FHIR APIs

Where vendors expose modern APIs, we configure connectors that let your solutions read and write data to leading EHRs or ERPs (Epic, Cerner, Athena, and others) without disrupting existing workflows.

Making your product FHIR-compliant

If your software lacks a standards layer, we add FHIR interfaces, SMART on FHIR security, and role-based access so third-party apps (patient portals, CDS tools, analytics engines) can integrate safely in real-time.

Establishing your own data exchange ecosystem

By interconnecting existing software or developing localized HIEs, we simplify workflows and reduce costs for provider networks, ACOs, or IDNs. Our hybrid approach allows clients to implement standard-based interoperability alongside custom data transformation solutions.

Direct integrations with individual providers

In cases where healthcare providers don’t support open APIs or are not part of a health information network, we implement direct point-to-point integrations. These may involve DB-to-DB links, secure file exchange (flat files, CSV), or custom APIs. Our tools handle diverse data formats — including XML, JSON, CDA, and proprietary schemas — and apply transformation logic to map and standardize incoming data for further use.

Using a single source
of truth

Edenlab’s repository architecture creates a powerful single source of truth for healthcare data interoperability. Ideal for dynamic app connectivity, clinic network coordination, multi-source data analysis, and building AI solutions. We engineer a robust platform for ingesting, transforming, and normalizing diverse data, with APIs ensuring seamless data exchange across your healthcare ecosystem.

On-the-fly data transformation and loading

For real-time synchronization or process digitalization, Edenlab implements sophisticated integration and orchestration engines. This approach directly connects systems, ensuring swift, interoperable data flow. We handle on-the-fly data transformation and standardization, developing custom interfaces as needed to simplify integration and ensure seamless communication between diverse healthcare systems.

Structural interoperability

Structural interoperability is the cornerstone of high-quality healthcare data exchange. Our custom solutions ensure that data is standardized in format and maintains its integrity across diverse systems. We implement rigorous data quality measures, guaranteeing that every piece of information retains its accuracy and relevance throughout the integration process.

Semantic interoperability

While structural interoperability provides the framework, semantic interoperability ensures that data is meaningful. This level enables a uniform understanding of clinical terms, codes, and concepts across platforms, such as ICD-10 for diagnoses, LOINC for lab tests, SNOMED CT for clinical concepts, and RxNorm for medications, improving diagnoses and treatment plans.

On-demand data exchange

Initiated by specific requests or events, this method offers flexibility for non-critical processes. It enables larger, less frequent data transfers, is ideal for systems with intermittent connectivity, and reduces network load during peak hours.

Regular updates

Automated and frequent, this approach ensures real-time or near-real-time updates. With ETL and streaming capabilities, it provides incremental data transfers. This method works for time-sensitive apps and maintaining information up-to-date.

Inbound integrations

Our focus here is on seamlessly integrating external data sources into your healthcare ecosystem, such as patient information from diverse EHRs or diagnostic data from various labs.

• Enables comprehensive interoperability by centralizing patient data for enhanced analysis and treatment planning.
• Critical for maintaining up-to-date, interoperable patient records and efficiently managing incoming health data across systems.

Bi-directional integrations

We ensure robust, continuous data exchange across multiple healthcare platforms, exemplified by synchronizing patient records between EHRs and health information exchanges.

• Elevates interoperability by fostering near real-time collaboration across diverse healthcare providers and systems.
• Enhances clinical decision-making through synchronized, interoperable information across multiple healthcare platforms.