There are countless ways in which digitalization can support healthcare delivery—and more emerge every day. All of them depend on the availability of high-quality, structured health data. Data forms the foundation that enables clinical decision support, artificial intelligence in diagnostics, data-driven clinical research, and process automation.

Without highly structured health data that can be easily used across different systems, the number of applications continues to grow, and system landscapes within hospitals or care networks become increasingly complex and inefficient. The challenge today is that healthcare providers can only extract structured data from their systems to a limited extent.
 

The HIP CDR (HIP Clinical Data Repository) from vitagroup addresses this challenge. As a vendor-neutral backend for natively interoperable clinical application systems, it enables structured health data to be transformed into highly structured information and stored centrally. This makes the data usable for care delivery and research, independent of individual systems and vendors.

But what if data—from physician letters, laboratory reports, and similar sources—is available digitally, yet medical professionals still cannot easily access specific values? This is where the partnership with Averbis comes into play. The AI platform Health Discovery uses Natural Language Processing (NLP) to derive structured information from unstructured data, which can then be stored in the HIP CDR. This makes information readily accessible and available for use in care delivery and research processes.