Computerized cancer registries solutions - a systematic review (Preprint)

Author:

Santos-Pereira CátiaORCID,Augusto Alexandre B.,Cruz-Correia Ricardo,Correia Manuel E.

Abstract

BACKGROUND

A cancer registry (CR) is typically a standardized tool to produce population-based data on cancer incidence and survival. Cancer registries aim to retrieve and store information on all cancer cases occurring in a defined population. The main sources of data on cancer cases usually include treatment, diagnostic facilities (oncology centres or hospital departments, pathology laboratories, or imaging facilities etc.) and the official territorial death registry.

OBJECTIVE

The aim of this study is to assess the actual solutions for cancer registries and determine and understand its main requirements.

METHODS

To achieve this goal, we have made a systematic review based on a comprehensive qualitative research, following the PRISMA statement framework. Four distinct databases were searched: Medline; ISI Web of Knowledge, IEEE Xplore and Scopus with the query “cancer registries” [All Fields] AND computerized [All Fields]. The inclusion criteria include references from five key-concepts: data collection; standards; quality control, data protection and data exploration. For the process final review, we have involved the participation of three medical informatics professionals.

RESULTS

From a total of 54 articles, 10 accomplished the inclusion criteria and were included in the analysis. Cancer registries systems had in general problems related to the lack of a fully automatic integration of data from different sources, difficulty in automatize data quality control routines and a lack of harmonization in terms of standards (both communication and terminologies standards). Many tasks are still performed manually implying an extra effort from the human resources team that results in a substantial delay in survival and incidence reports production and more data inconsistencies and errors.

CONCLUSIONS

It is essential to automatize the data linking integration between different healthcare institutions. However, it is important to consider a balance between the preservation of data integrity and the patient’s privacy, whilst enabling meaningful state of the art continuous research to improve people’s health and the general quality of care. Healthcare institutions must abide and comply with the changes imposed by the much more stringent data privacy protection regulations imposed by the GDPR (General Data Protection Regulation), resulting on new rigorous compliance obligations on privacy and security that all CRs across Europe must be ready to comply.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3