The IT company, clinIT, intends to develop a novel tool for automatic analysis of data quality in all types of clinical studies. Up to now, such analyses had to be carried out individually for each project via the application programming. On the basis of rules, this new tool will formalize this process and make automatic processing accessible.
For the first time now, this innovation will give project and data managers with no specific programming skills the means to measure and control the quality of data and processes over large-volume study libraries/data bases. The data quality is crucial in a clinical trial, in order to be able to reach accurate and reliable conclusions on the safety and efficacy of the test medication. The new development of clinIT and the Freiburg Institute for Informatics represents not only a decisive advance from the perspective of cost-effectiveness, but especially also in terms of the patient's well-being.
For further information, please visit:
http://www.clinit.net
About clinIT AG
Founded in 2001, clinIT AG is a specialist for clinical information technology whose core business is the development and supply of information systems for both data entry and management of clinical trial data as well as providing support for the process flow in clinical studies. The latter involves systems for data capture, patient randomization and disease management. Further services include statistics, data management and medical consulting. For more information, please visit www.clinit.net.
About the Institute for Informatics of the Albert-Ludwigs-University Freiburg, Faculty for Data Bases and Information Systems
The Institute for Informatics was founded in 1995 and belongs to the Faculty of Applied Sciences of the University. The Faculty for Data Bases and Information Systems has special expertise in the sector of rule-based languages, work flow management systems and internet-based technologies, especially information extraction and integration. Current research projects concern also memory systems for the semantic web and the analysis of correspondingly based query languages. For more information, please visit www.informatik.uni-freiburg.de/.