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Design and Usability of Medical Devices (230) Clinical Information and Decision Making (3700) Neurology and Neurosciences (386) mHealth for Data Collection and Research (1726) Decision Support for Health Professionals (2231) Focus Groups and Qualitative Research for Human Factors Research (1540) Artificial Intelligence (4765)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59558, first published .
Medical team in a modern hospital viewing brain scans and patient data on large screens.

Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility Study from the Perspectives of Health Care Professionals

Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility Study from the Perspectives of Health Care Professionals

Authors of this article:

Pantea Keikhosrokiani1, 2 Author Orcid Image ;   Johanna Annunen3, 4 Author Orcid Image ;   Jonna Komulainen-Ebrahim3, 5 Author Orcid Image ;   Jukka Kortelainen6, 7 Author Orcid Image ;   Mika Kallio3, 5 Author Orcid Image ;   Päivi Vieira3, 5 Author Orcid Image ;   Minna Isomursu1, 2 Author Orcid Image ;   Johanna Uusimaa3, 8 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Keikhosrokiani P, Annunen J, Komulainen-Ebrahim J, Kortelainen J, Kallio M, Vieira P, Isomursu M, Uusimaa J. Correction: Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility Study from the Perspectives of Health Care Professionals. JMIR Human Factors 2025;12:e79484 View
  2. Halkiopoulos C, Gkintoni E, Boutsinas B. Mapping the Digital Mind: A Meta-Analysis of EEG Biomarkers in Cognition, Emotion, and Mental Health. Brain Sciences 2026;16(4):368 View
  3. He M, Sha L, Tang G, Pang J, Jin L, Fu Y, Huang S, Wang W, Wen S, Yao Y, Wei P, Chen L. Towards generalizable seizure monitoring: EpiVLM for cross-environment detection and classification. npj Digital Medicine 2026;9(1) View

Conference Proceedings

  1. Muthupandi G, Mariappan E. 2026 International Conference on Data Science, Agents and Artificial Intelligence (ICDSAAI). A Dual-Dataset Deep Learning Approach for Seizure Detection from Wearable Sensor Data View