PROJECT TITLE :

Information Technology as Tools for Cancer Registry and Regional Cancer Network Integration

ABSTRACT:

Background. With the publication of huge studies from totally different health systems comparing survival chances, cancer registries are increasingly concerned in clinical evaluation analysis. The changing role of registries strictly depends on the mixing between the oncology system and correct data technology (IT) tools. It's basic to improving validity and timeliness of information diffusion when each the amount of sources linked and the number of variables registered are on the rise. Aims. In this paper, we tend to present a fashionable internet-based mostly management system that enables to integrate different sources, validate and elaborate knowledge so providing a replacement evaluation system for the oncology network primarily based on cancer registries. Materials and methods. We developed a.Net two.zero management system for the Umbria Cancer Registry (S.G.RTUP) based on AMPAX technology (Apache, Mysql, PHP, Ajax and XML) and object-oriented programming. ISO/IEC 27001:2005 customary is followed to make sure security access to the data. The S.G.RTUP architecture is modular and extensible and information consistency is guaranteed by entity-relationship principles. Cancer sites, topology, morphology, and behavior are coded per the International Classification of Diseases. Classical epidemiological indices for a cancer registry are implemented: incidence, mortality, years of potential life lost, and cumulative risk. S.G.RTUP has tools to arrange information for trend analysis and relative survival analysis. Geographical analysis is also implemented. Results. S.G.RTUP is integrated with the Oncology Network and provides timely epidemiological indices for evaluation of oncological activities. The registration system that we have a tendency to developed can effectively manage different information sources. Automatic importing of routinely accessible data from pathology archives, screening services, and hospital discharge records can reduce the time required to supply knowledge and can also allow the expansion of registered data- Many services for knowledge visualization and statistical analysis are implemented. A geographic data system primarily based on Google maps API is used for geolocalization of cases and map plotting of incidence and mortality rates. We tend to implemented Besag York and Mollie's algorithm for real-time smoothed maps. All services can be dynamically performed over a subset of information that the user can select through an innovative filtering system. Discussion and conclusion. IT contributed to shortening all phases of cancer registration, including linkage with external sources, coding, quality control, data management and analysis and publication of results. Integration within the oncology network and secure Web access allowed us to design with clinicians innovative population-based collaborative studies. Our geographic analysis system allows us to develop subtle dynamic geostatistic tools.


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