ArticleEpilepsia open2025
Building a dashboard to inform policy and clinical practice using the Irish epilepsy electronic patient record: Towards a learning health system.
Article in Epilepsia open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Inishowen Child and Adolescent Mental Health Service: Developing a Learning Health Microsystem.Learning health systems · 2026Article
- Enhancing sudden unexpected death in epilepsy (SUDEP) research through development of common data elements.Epilepsia open · 2025Article
- Building a dashboard to inform policy and clinical practice using the Irish epilepsy electronic patient record: Towards a learning health system.Epilepsia open · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectivesIreland lags heavily in capacity and stakeholder interest for the development of learning health system tools. However, Ireland possesses a rich repository of electronic patient records for epilepsy patients stored at the National Epilepsy Centre at Beaumont Hospital. The objective of the current study was to develop a prototype dashboard from anonymized electronic records of Irish epilepsy patients to demonstrate the potential for the development of learning health systems in Ireland.
methodsA cross-sectional extract of electronic patient records was extracted from the Irish National Epilepsy Centre. Extracted data were then used to construct a prototype clinical dashboard based on iterative feedback provided by relevant stakeholders. As proof-of-concept, a mock analysis was performed using the EpiData Dashboard to identify the number of women of childbearing age (16-45 years) who are currently prescribed sodium valproate.
resultsA prototype clinical dashboard called the EpiData Dashboard was produced with four distinct tabs (homepage, patient demographic information, patient diagnosis information and patient medication information) based on stakeholder feedback. SIGNIFICANCE: The EpiData Dashboard enables group-level analysis of information contained within epilepsy electronic patient records in a straightforward and accessible way. The development of the EpiData Dashboard demonstrates that the capacity to develop learning health system tools in Ireland can be informative for policy and epilepsy clinical care. This demonstration can drive stakeholder engagement to develop more enhanced and integrated tools to improve the capacity of epilepsy care. PLAIN LANGUAGE SUMMARY: Electronic patient records are useful for storing and sharing patient data between clinicians and represent data repositories that can be leveraged to enhance healthcare policy and clinical care. Ireland lacks in leveraging electronic patient resources. The current study produced a prototype analysis tool using electronic patient records from a national epilepsy center. The efficacy of this prototype dashboard is exemplified through a demonstrative analysis that identifies females of childbearing age (16-45 years) currently taking sodium valproate. The results and reporting of the current study are useful as means to drive stakeholder engagement for developing more advanced systems to improve epilepsy care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.