Paper Number
ECIS2026-1733
Paper Type
SP
Abstract
This paper reports preliminary results of a design science research (DSR) study that develops design principles (DPs) for monitoring systems (MS) supporting people with epilepsy (PWE). At home, MS must balance timely detection of seizures with unobtrusive interaction, trust, and safety. We report a DSR approach deriving actionable DPs for MS in epilepsy care that supports PWEs’ everyday life and provides reassurance without overburdening them. We synthesized meta requirements (MR) from a systematic literature review and 15 scenario based qualitative interviews. This work presents the current results: e.g., requirements pointing out for a reliable real-time warning system and risk escalation levels with personalized emergency contacts. From these, we derived a traceable set of five DPs, 21 design features (DFs) and a concise user interface (UI). This research contributes to the scientific foundation of design-centered eHealth solutions and provides a robust basis for design knowledge for epilepsy MS.
Recommended Citation
Irnich, Mirijana; Hammer, Jonas; Schneider, Lukas; and Teuteberg, Frank, "From Alarm To Action: Deriving Design Knowledge For Epilepsy Monitoring Systems" (2026). ECIS 2026 Proceedings. 6.
https://aisel.aisnet.org/ecis2026/hit/hit/6
From Alarm To Action: Deriving Design Knowledge For Epilepsy Monitoring Systems
This paper reports preliminary results of a design science research (DSR) study that develops design principles (DPs) for monitoring systems (MS) supporting people with epilepsy (PWE). At home, MS must balance timely detection of seizures with unobtrusive interaction, trust, and safety. We report a DSR approach deriving actionable DPs for MS in epilepsy care that supports PWEs’ everyday life and provides reassurance without overburdening them. We synthesized meta requirements (MR) from a systematic literature review and 15 scenario based qualitative interviews. This work presents the current results: e.g., requirements pointing out for a reliable real-time warning system and risk escalation levels with personalized emergency contacts. From these, we derived a traceable set of five DPs, 21 design features (DFs) and a concise user interface (UI). This research contributes to the scientific foundation of design-centered eHealth solutions and provides a robust basis for design knowledge for epilepsy MS.
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