English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper proposes a semi-automatic approach to extract information stored in a HL7 Clinical Document Architecture (CDA) and transform them to be loaded in a Data Warehouse for secondary purposes. It represents a suitable solution to facilitate the design and implementation of Extract, Transform and Load (ETL) tools that are considered the most time-consuming step of the data warehouse development process. The implementation of this framework is also proposed adopting the XSLT style sheet language that converts an original CDA XML-based document to an output XML document that can be easily loaded in the Data Warehouse. A case study is also provided to demonstrate the feasibility of the approach proposed.

The Use of HL7 Clinical Document Architecture Schema to Define a Data Warehouse Dimensional Model for Secondary Purposes