Learn about the common standards and protocols for data integration and interoperability, such as ETL, ODBC, XML, REST, EDI, and HL7.

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Image: garrykillian/Adobe Stock.

The model, FHIR-GPT, uses the power of large language models to convert clinical data into Fast Healthcare Interoperability Resources (FHIR) resources, and is a step toward advancing health data ...

Capvidia's flagship solution, MBDVidia, fully supports this advancement with bidirectional interoperability. Model data exported from NX via QIF can be validated, enriched, and returned ...

In a recent article published in CMAJ, El Sabawy and colleagues highlight the critical importance of health data interoperability and the positive influence that Bill C-72 may have toward that goal.1 ...

With clean room interoperability, all the constituents in the ecosystem – including third-party data providers, media publishers, social platforms, adtech companies, brands, agencies and others ...

The expanding presence of the electronic health record (EHR) underscores the necessity for improved interoperability. To test the interoperability within the field of oncology research, our team at ...

However, as contractors and designers continue to adopt BIM practices, the need for enhanced interoperability and effective handling of data-rich 3D models becomes increasingly important.

A set of YANG modules describing nanoscale communication systems and their associated physical quantities in conformance with IEEE Std 1906.1-2015--a common framework for all nanoscale communication ...