Abstract
AbstractWe present a method and prototype tool supporting participatory mapping of domain activities to event data recorded in information systems via the system interfaces. The aim is to facilitate responsible secondary use of event data recorded in information systems, such as process mining and the construction of predictive AI models. Another identified possible benefit is the support for increasing the quality of data by using the mapping to support educating new users in how to register data, thereby increasing the consistency in how domain activities are recorded. We illustrate the method on two cases, one from a job center in a danish municipality and another from a danish hospital using the healthcare platform from Epic.
Publisher
Springer Nature Switzerland
Reference41 articles.
1. van der Aalst, W.M.P.: Process Mining - Data Science in Action, 2nd edn. Springer, Cham (2016)
2. Lecture Notes in Business Information Processing;W van der Aalst,2012
3. On AI, H.L.E.G.: Ethics guidelines for trustworthy AI. https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
4. Ammitzbøll Flügge, A., Hildebrandt, T., Møller, N.H.: Street-level algorithms and AI in bureaucratic decision-making: a caseworker perspective. Proc. ACM Hum.-Comput. Interact. 5(CSCW1), 1–23 (2021). https://doi.org/10.1145/3449114
5. Ancker, J.S., et al.: Root causes underlying challenges to secondary use of data. In: AMIA Annual Symposium Proceedings, vol. 2011, p. 57. American Medical Informatics Association (2011)