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CBmed: 1.2 - Innovative Use of Information for Clinical Care and Biomarker Research

In Project 1.2 CBmed, called IICCAB (Innovative Use of Information for Clinical Care and Biomarker Research) large-scale clinical data sets are processed for better re-use.

Data for biomarker research come not only from specialized laboratories but also from different sources, in which routine clinical data are stored. The merging of these data requires automatic semantic normalization in order to aggregate them and to make them available for innovative applications.
The core of the system developed by IICCAB is a high performance database, which uses SAP HANA technology. Since an important part of clinical information is found exclusively as narratives within free-text fields of clinical databases, human language technology methods are required to analyse this content and to map it to a standardized vocabulary. The data obtained allow, together with already available structured data like lab parameters, disease codes, etc. semantically standardized patient profiles.

The processed data is the basis for four different application scenarios:

1. "Recruiting" will facilitate patient cohorts in terms of various characteristics, using advanced graphical interfaces for querying and visualization. This is a crucial prerequisite for all kinds of clinical research, especially regarding biomarkers and the use of biosamples.

2. "Prediction" will focus on predictive analytics based on semantically enriched patient profiles, in order to help estimate the probability of future events, such as hospital re-admissions.

3. "Patient QuickView" will provide an automatic summary of decision-relevant patient data, depending on the preferences of each user group and task. Thus, an alternative is provided for time-consuming browsing through numerous documents in electronic health records.

4. "Coding" supports physicians in the coding of disease cases for administrative purposes. IICCAB analyses available clinical data and proposes appropriate disease and procedure codes.

In the first phase of IICCAB (2016 – 2018), funded by FFG, CBmed cooperates with the Styrian Hospital Association (KAGes), the Institute of Medical Informatics, Statistics and Documentation of the Medical University of Graz, the Biobank Graz, and the German software company SAP under the lead of Stefan Schulz, university professor of medical informatics at the Medical University of Graz.
Project Leader:
Schulz Stefan
Type of Research
applied research
Schulz S., Project Leader
MUG Research Units
Institute for Medical Informatics, Statistics and Documentation
Funded by
Österreichische Forschungsförderungsgesellschaft mbH (FFG), Sensengasse 1, 1090 Wien, Austria
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