RCIA: Automated Change Impact Analysis to Facilitate a Practical Cancer Registry System

Wang, Shuai; Schwitalla, Thomas; Yue, Tao; Ali, Shaukat; Nygård, Jan F.

doi:10.1109/icsme.2017.22

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…For instance, ICD-O-3 is commonly referenced for cancer codes. 2 We believe the scientific challenges we identified are commonly faced by cancer registry systems. In addition, other registries such as the national registry used by tax authorities, election authorities, and other public authorities (e.g., police) face similar challenges.…”

Section: Generalization Beyond the Cancer Registry Of Norwaymentioning

confidence: 99%

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Challenges of Testing an Evolving Cancer Registration Support System in Practice

Laaber

Yue

Ali

et al. 2023

2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

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The Cancer Registry of Norway (CRN) is a public body responsible for capturing and curating cancer patient data histories to provide a unified access to research data and statistics for doctors, patients, and policymakers. For this purpose, CRN develops and operates a complex, constantly-evolving, and socio-technical software system. Recently, machine learning (ML) algorithms have been introduced into this system to augment the manual decisions made by humans with automated decision support from learned models. To ensure that the system is correct and robust and cancer patients' data are properly handled and do not violate privacy concerns, automated testing solutions are being developed. In this paper, we share the challenges that we identified when developing automated testing solutions at CRN. Such testing potentially impacts the quality of cancer data for years to come, which is also used by the system's stakeholders to make critical decisions. The challenges identified are not specific to CRN but are also valid in the context of other healthcare registries. We also provide some details on initial solutions that we are investigating to solve the identified challenges.

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Section: Generalization Beyond the Cancer Registry Of Norwaymentioning

confidence: 99%

“…Below, we provide two example rules based on the examples provided in [1,2]. Rule 1 is a simple check on the invalid values of two variables, i.e., basis and surgery.…”

Section: Introductionmentioning

confidence: 99%