Evaluating the use of new and advanced technologies in a population-based cancer registry.

ABSTRACT:

Background

Cancer is typically a notifiable disease, with notifications captured in population-based cancer registries (PBCR) to inform public health cancer control. Despite the importance of PBCRs, a knowledge gap exists regarding the impact of novel and advanced data engineering technologies on PBCR health information, data quality and utility.

Objective

To examine the impact of electronic reporting, machine learning and automation on PBCR data quality and utility.

Method

A mixed-methods, participatory, performance story evaluation was conducted in 2022 to examine data quality (completeness, coverage, timeliness and efficiency) and utility (real-time dashboards and research) of health information collected between 2012 and 2021 by the New South Wales Cancer Registry

SUBMITTER: Stapleton B 

PROVIDER: S-EPMC12756513 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature