Abstract
Since all systems and services are ultimately aimed at human users, it is essential to address the interaction between humans and machines. The acceptance of a system, i.e. the question whether a system is interpreted by a user as good or bad, is a complex construct of perception and evaluation processes. A disproportionately growing number of care recipients and the associated avalanche of data in all areas of modern care continuously increases the need for more efficient, higher-quality and at the same time more cost-saving options for care and its networking of relatives, doctors and nurses. As part of a project to digitize dementia residential communities, an information platform called “INFODOQ” was developed. The system serves as a transparent information, coordination and communication platform for various dementia residential communities to optimize the daily care and nursing routine. After completion, the system underwent several analytical and empirical evaluations in which nursing teams were involved. The subject of the work presented here is the presentation of the evaluation results, the subsequent reengineering process of nursing documentation and the presentation of a specially developed analysis tool. New insights into the interaction behavior of caregivers in digital nursing documentation and the optimal interface development are the results of this work.
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Staab, S., Luderschmidt, J., Martin, L. (2021). Measuring and Evaluation of the Results of UI-Re-Engineering in the Nursing Field. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Posters. HCII 2021. Communications in Computer and Information Science, vol 1419. Springer, Cham. https://doi.org/10.1007/978-3-030-78635-9_64
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