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“SlidePath deliver a biobanking database for the Prostate Cancer Research Consortium”


The Prostate Cancer Research Consortium unites 22 principal investigators from 6 affiliated sites in a combined effort to identify novel disease biomarkers that allow earlier detection and more reliable prognosis. The PCRC adopted SlidePath’s Distiller as a web-enabled central biobank data repository for the storage and retrieval of clinical, pathological and omic data, with the aim of compiling and sharing cancer research data and sample tracking in four hospitals and two research laboratories.
The Distiller solution provided unique workflows for distinct user groups to interact with the repository. Surgeons, clinical research nurses, pathologists, oncologists and molecular scientists all use the system and easily controlled access levels enable the biobank administrator to regulate data visibility for individual user groups. For example, study nurses in each hospital see only the data relating to their patients, while researchers see all records but do not have access to sensitive patient information, thus complying with local Data Protection laws.
Dr William Watson, Senior Lecturer, Department of Surgery, Mater Hospital and one of the three senior investigators of the Prostate Cancer Research Consortium says “SlidePath have the knowledge, capacity and experience to deliver a range of database and IT solutions for biobanking projects and we have been very impressed with their delivery of this solution”.
Distiller is the most powerful web based data collection and management tool. It is an adaptive database system with comprehensive reporting, surveillance and networking capabilities that is designed for a wide variety of laboratory and clinical research settings and is ideal for the management of life-science and clinical datasets. Its comprehensive user and data management features facilitates online real-time collaboration amongst disparate research groups. Distiller can accelerate the rate of biomarker/drug discovery through intuitive data presentation and powerful data mining functionality.

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