CRASLNa3Sud

Cancer Registry ASLNa3Sud...

Description

General Design

Type
Data source
RWD type
Population registry, Cancer registry
Data collection description
Organization The working methodology of the register, now consolidated in many population registers, is based on the temporal and orderly succession of survey activities with "linkage" strategies. It makes use of the integrated coding of healthcare sources, i.e. automated procedures that allow, through appropriate software, to distinguish and select the relevant information present in healthcare flows. Furthermore, their integration with other independent flows is carried out and finally we proceed to identify, pre-populate and make available for manual verification, computerized forms containing a mass of data on possible new tumor diagnoses already codified. The activity of the Registry operators starts from the outcome of the automated linkage and pre-coding procedures, verifies its completeness and quality and integrates it where necessary with further information derived from clinical documentation. The skills of the operators and in-depth knowledge of new recording techniques are a fundamental requirement to ensure high levels of quality. Algorithms for reading the text of the reports were adopted as a solution as they are able to extract, even from plain text, the information necessary for coding, allowing even non-codified reports from non-codified pathological anatomy laboratories to be coded. The automated import of data from the main information flows is therefore accompanied by a manual entry procedure. In the first case, every possible new tumor notification is carefully prepared by the software and recorded with a “waiting” status. It is subsequently checked by an expert operator who proceeds to find all the documentation that can confirm or exclude the notification of the tumor in question. In the second case, the operator manually inserts cases obtained from other possible information sources
Record trigger
hospital discharge,specialist encounter, dispensation of a medicinal product, mortality registry, death certificate, and pathology reports
Date last refresh
2022-12-31
Start/End data collection
2008 until 2020
PID
EUNAP

Population

Countries
Italy
Number of participants
1100000
Number of participants with samples
0
Population age groups
All ages

Organisations

Lead organisations
  • Istituto per l'endocrinologia e l'oncologia (CNR-IEOS)

Contributors

Networks

Part of networks...

Documentation