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Population-Based Cancer Screening analysis in Northern Portugal Using Process Mining

2026-03Artigo científico Acesso aberto
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datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorMonteiro, Hugo
dc.contributor.authorOliveira, Mariana
dc.contributor.authorMartinho, Ricardo
dc.contributor.authorReis, João
dc.contributor.authorTavares, Fernando
dc.contributor.authorFelgueiras, Óscar
dc.contributor.authorMartins, Carlos
dc.date.accessioned2026-04-28T09:30:47Z
dc.date.available2026-04-28T09:30:47Z
dc.date.issued2026-03en_US
dc.date.updated2026-04-23T12:09:33Z
dc.descriptionArticle number - 100702
dc.description.abstractBackground This study focuses on the Colorectal Cancer Screening Program in Northern Portugal, aiming to evaluate the disruption effects on its performance and efficiency. Methods We conducted an observational analyses of 271 637 administrative records from 2020 to 2022. Administrative timestamps were converted into a step-by-step dataset of screening activities (an “event log”) and analysed using process mining and comparative performance analysis across time periods and ACeS (primary care administrative clusters). Results Consultation‑to‑colonoscopy time lengthened by 53 %, rising from a median 58 days (IQR 29–92) in early 2020 to 89 days (IQR 53–127) in 2021, before improving to 73 days in 2022. Conversely, referral‑to‑consultation time fell from 110 days to 26 days (−76 %), reflecting targeted backlog clearance. Screening volumes declined in 2020 but recovered above baseline levels by 2022. Performance differences across primary care administrative clusters were significant (p < 0.001), with some units outperforming regional median transition times. Early adoption of automated electronic referrals and flexible consultation scheduling may have contributed to improved programme performance during the recovery period following pandemic-related disruptions. Substantial heterogeneity across units was observed for key transitions, indicating uneven disruption and recovery patterns across administrative units. Conclusion Process Mining techniques revealed critical vulnerabilities in the screening program during the initial stages of the period in analysis (matching the pandemic). These findings support targeted monitoring and prioritisation of operational improvements to reduce avoidable delays and strengthen continuity of population-based screening. Policy summary Policies aimed at strengthening healthcare service continuity and operational capacity benefit from analytical methods like process mining. Key recommendations include standardizing workflows, enhancing coordination between primary care and hospital services, and investing in digital monitoring systems to mitigate disruptions and ensure continuity in cancer screening programs during periods of system stress.eng
dc.description.sponsorship
dc.description.versionN/A
dc.identifier.citationMonteiro, H., Oliveira, M., Martinho, R., Reis, J., Tavares, F., Felgueiras, Ó., & Martins, C. (2026). Population-based cancer screening analysis in Northern Portugal using process mining. Journal of Cancer Policy, 47, 100702. https://doi.org/10.1016/j.jcpo.2026.100702
dc.identifier.doi10.1016/j.jcpo.2026.100702en_US
dc.identifier.issn2213-5383
dc.identifier.slugcv-prod-4857878
dc.identifier.urihttp://hdl.handle.net/10400.8/16207
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/abs/pii/S2213538326000020
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCancer screening
dc.subjectProcess mining
dc.subjectHealthcare resilience
dc.subjectColorectal cancer.
dc.titlePopulation-Based Cancer Screening analysis in Northern Portugal Using Process Miningeng
dc.typejournal articleen_US
dspace.entity.typePublication
oaire.citation.endPage11
oaire.citation.startPage1
oaire.citation.titleJournal of Cancer Policyen_US
oaire.citation.volume47
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMartinho
person.givenNameRicardo
person.identifier.ciencia-idF51E-9BB5-EF92
person.identifier.orcid0000-0003-1157-7510
person.identifier.ridK-8277-2013
person.identifier.scopus-author-id25823103700
rcaap.cv.cienciaidF51E-9BB5-EF92 | Ricardo Martinho
rcaap.rightsopenAccessen_US
relation.isAuthorOfPublicationb2a74e46-f06c-4dcd-8c64-8f78f1d55440
relation.isAuthorOfPublication.latestForDiscoveryb2a74e46-f06c-4dcd-8c64-8f78f1d55440

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