ArticleHealth information management : journal of the Health Information Management Association of Australia2026
Evaluating the use of new and advanced technologies in a population-based cancer registry.
Article in Health information management : journal of the Health Information Management Association of Australia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The intersection of health information management and clinical registries.Health information management : journal of the Health Information Management Association of Australia · 2026Article
- Statewide integration of electronic patient-reported outcome measures into routine oncology care: a mixed-methods implementation study.EClinicalMedicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer 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.
objectiveTo examine the impact of electronic reporting, machine learning and automation on PBCR data quality and utility.
methodA 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 (NSWCR), a PBCR in New South Wales, Australia.
resultsA two-fold increase in cancer notifications was observed between 2012 and 2021 (
conclusionElectronic reporting, machine learning and automation can improve data quality, utility and cancer control capability, with collaboration remaining essential.Implications for health information management practice:Innovative technologies and collaboration can improve PBCRs and strengthen health care, policy, research and health system capability.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.