University of Twente Student Theses
Design and Implementation of a Power BI Dashboard for Trend Analysis of Clinical Alarms in the NICU at Isala Zwolle
Doremalen, A. van and Eppinga, M.J. and Martherus, E.J. and Schepers, L.H.A. (2025) Design and Implementation of a Power BI Dashboard for Trend Analysis of Clinical Alarms in the NICU at Isala Zwolle.
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| Abstract: | At the NICU of Isala Zwolle, alarm fatigue occurs due to excessive alarms. To reduce SpO₂ overload, a Smart Alarm Delay (SAD) model was implemented on March 6. This study aimed to design a user-friendly Power BI dashboard and evaluate the statistical impact of the SAD model on alarm frequency and escalation. A literature review and iterative design cycle led to a dashboard with three pages, displaying alarm trends, escalation levels, and bed-specific alarm counts. User feedback across four rounds shaped its development. Statistical analysis showed that alarm data were not normally distributed, justifying the use of a Mann-Whitney U test, which revealed a significant reduction in total SpO₂ alarms (p < 2.2e-16). The proportion of SpO₂ alarms compared to all alarms also decreased significantly. While escalation rates for SpO₂ alarms to level 1 and 2 remained stable, the overall proportion of alarms escalating to levels 1 and 2 dropped significantly after SAD implementation. This suggests an improvement in alarm handling and nurse efficiency. In conclusion, the SAD model reduced alarm frequency without affecting response urgency for SpO₂ alarms. The dashboard was positively evaluated and clearly supports NICU staff in interpreting alarm data. |
| Item Type: | Student Thesis (Bachelor) |
| Clients: | Isala, Zwolle, Netherlands |
| Faculty: | TNW: Science and Technology |
| Subject: | 44 medicine |
| Programme: | Technical Medicine BSc (50033) |
| Link to this item: | https://purl.utwente.nl/essays/106663 |
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