ArticleJAMIA open2021
Evaluation and recommendations for effective data visualization for seizure forecasting algorithms.
Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- User involvement in the design and development of medical devices in epilepsy: A systematic review.Epilepsia open · 2024Pooled it
- The research progress of wearable digital health technologies in epilepsy management.Acta epileptologica · 2026Review
- Forecasting epileptic seizures with wearable devices: A hybrid short- and long-horizon pseudo-prospective approach.Epilepsia · 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
- "Less words, more pictures": creating and sharing data visualizations from a remote health monitoring system with clinicians to improve cancer pain management.Frontiers in digital health · 2025Article
- User experience of a seizure risk forecasting app: A mixed methods investigation.Epilepsy & behavior : E&B · 2024Article
- Seizure forecasting: Bifurcations in the long and winding road.Epilepsia · 2023Review
- Systemic inflammation as a biomarker of seizure propensity and a target for treatment to reduce seizure propensity.Epilepsia open · 2023Review
- Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic.Frontiers in neurology · 2021Review
- The Challenging Path to Developing a Mobile Health Device for Epilepsy: The Current Landscape and Where We Go From Here.Frontiers in neurology · 2021Review
- Seizure Forecasting: Patient and Caregiver Perspectives.Frontiers in neurology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveSeizure forecasting algorithms have become increasingly accurate and may reduce the morbidity and mortality caused by seizure unpredictability. Translating these benefits into meaningful health outcomes for people with epilepsy requires effective data visualization of algorithm outputs. To date, no studies have investigated patient and physician perspectives on effective translation of algorithm outputs into data visualizations through health information technology. MATERIALS AND
methodsWe developed front-end data visualizations as part of a Seizure Forecast Visualization Toolkit. We surveyed 627 people living with epilepsy and caregivers, and 28 epilepsy healthcare providers. Respondents scored each visualization in terms of international standardized software quality criteria for functionality, appropriateness, and usability.
resultsPeople with epilepsy and caregivers ranked hourly radar charts highest for protecting against errors in interpreting forecasts, reducing anxiety from seizure unpredictability, and understanding seizure patterns. Accuracy in interpreting visuals, such as a risk gauge, was dependent on seizure frequency. Visuals showing hourly/daily forecasts were more useful for patients who experienced seizure cycling than those who did not. Hourly line graphs and monthly heat maps were rated highest among clinicians for ease of understanding, anticipated integration into clinical practice, and the likelihood of clinical usage. Epilepsy providers indicated that daily heat maps, daily line graphs, and hourly line graphs were most useful for interpreting seizure diary patterns, assessing therapy impact, and counseling on seizure safety. DISCUSSION: The choice of data visualization impacts the effective translation of seizure forecast algorithms into meaningful health outcomes.
conclusionThis effort underlines the importance of incorporating standardized, quantitative methods for assessing the effectiveness of data visualization to translate seizure forecast algorithms into clinical practice.
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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.