Research on Biomedical Engineering
http://www.rbejournal.periodikos.com.br/article/doi/10.1590/2446-4740.08117
Research on Biomedical Engineering
Original Article

AD-SISCOLO: a decision-support tool to aid the management of a cervical cancer screening program

Sulafa Yacoub Mohammed Ahmed; Sergio Miranda Freire; Tereza Maria Piccinini Feitosa; Lucilia Maria Gama Zardo; Rosimary Terezinha de Almeida

http://dx.doi.org/10.1590/2446-4740.08117 Res. Biomed. Eng., vol.34, n1, p.19-30, 2018
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Abstract

Abstract Introduction: This paper aims to develop a data warehouse (AD-SISCOLO) in order to support the management of the cervical cancer screening program in the municipality of Rio de Janeiro/Brazil. As a part of the management process, the program managers of the municipality perform tedious manual work in order to calculate a series of performance indicators and then take decisions based on them.

Methods: AD-SISCOLO was implemented using the Pentaho BI Suite Business Intelligence Platform and the MySQL database management system. The indicators to be calculated and visualized in the tool were based on the municipal data of the cytopathology and histopathology tests from January 2012 until December 2014, which was obtained from the Information System of Cervical Cancer (SISCOLO) after a record linkage process. The follow-up indicators were based on a simplified version of the Brazilian guidelines for the cervical cancer screening.

Results: AD-SISCOLO allows the visualization of a set of test-based and follow-up indicators from different views and dimensions, which enable managers to monitor all the phases of the screening process and to identify the process’ failures.

Conclusions: Compared with the current available environments in Brazil, AD-SISCOLO is unique in its visualization of the follow-up indicators of groups of women, according to their test results and age. Thereby it provides presentation flexibility to suit the program manager's needs.

Keywords

Decision-support tools, Data visualization, Data warehouse, Cervical cancer screening, Performance indicators, Healthcare management

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