Data Integration within Routine Patient Care and Clinical Research

Basic data for this project

Description

Currently documentation processes for routine patient care and clinical research are kept separate (dual source). This procedure causes a considerable amount of extra work as clinical research data have to be collected and managed separately even though they might be present in the clinical information system. Redundant keeping of data impairs data quality in both systems, because patient care data do not benefit from data monitoring on research data, the same holds true for  research data which do not benefit from routine checks on patient care data. A great deal of clinical research questions could be answered by usage of patient care data, however data quality of these is often poor. Additionally, patient care data and research data are based on different data models and research documentation is subject to legal regulation, which makes the design of an integrated clinical information system (single source) a challenging task. The project focuses on realization of the Single-Source-Vision by designing a process model for mapping patient care and research data models and implementing and validation a prototype in the domains of oncology, urology and cardiology.