Corrigan Derek, Doherty Colin P, Jacquemard Tim, Delanty Norman, White Máire, Fitzsimons Mary
FutureNeuro Research Ireland Centre for Translational Brain Science, Ireland.
FutureNeuro Research Ireland Centre for Translational Brain Science, Ireland; Academic Unit of Neurology, Trinity College School of Medicine, Ireland.
Epilepsy Res. 2025 Nov;217:107613. doi: 10.1016/j.eplepsyres.2025.107613. Epub 2025 Jun 19.
The National Clinical Programme for Epilepsy (NCPE) in Ireland identified analytics applied to Electronic Patient Record (EPR) data as an organisational asset for driving continuous service improvement. This study describes the diagnostic, therapeutic and prognostic characteristics of a population of people with epilepsy (PwE) currently taking anti-epileptic drugs. This is an epidemiological question of interest to clinicians, PwE and their families, along with those involved in heath policy, and health service planning, implementation, monitoring and evaluation.
A de-identified data extract of 5720 PwE was taken from the Irish epilepsy EPR. Phenotypical characteristics were aggregated and visualised using data analytics. A set of landscape analyses fully describe this subpopulation in terms of epilepsy types, seizure types, seizure frequencies, aetiologies, comorbidities and numbers of anti-epileptic-drugs taken.
A multi-disciplinary team of epilepsy healthcare providers and stakeholders reviewed the analytics results from which they identified a number of policy issues that required improvement relating to current epilepsy service delivery including: SIGNIFICANCE: This study demonstrates how interrogation and analysis of large volumes of patient data can be applied to a real-world epilepsy EPR that is used in frontline epilepsy clinical care. This analytics approach was supported by a multi-disciplinary review of outputs to support a data-driven approach that interprets analytics with a view to improving actual clinical care.
爱尔兰国家癫痫临床项目（NCPE）将应用于电子病历（EPR）数据的分析确定为推动服务持续改进的一项组织资产。本研究描述了目前正在服用抗癫痫药物的癫痫患者群体的诊断、治疗和预后特征。这是一个临床医生、癫痫患者及其家属以及参与健康政策、卫生服务规划、实施、监测和评估的人员都感兴趣的流行病学问题。
从爱尔兰癫痫电子病历中提取了5720例癫痫患者的去识别化数据。使用数据分析对表型特征进行汇总和可视化。一组全景分析从癫痫类型、发作类型、发作频率、病因、合并症以及服用的抗癫痫药物数量等方面全面描述了这个亚群体。
一个由癫痫医疗服务提供者和利益相关者组成的多学科团队审查了分析结果，从中确定了一些与当前癫痫服务提供相关的需要改进的政策问题，包括：意义：本研究展示了如何将对大量患者数据的询问和分析应用于一线癫痫临床护理中使用的真实世界癫痫电子病历。这种分析方法得到了对产出的多学科审查的支持，以支持一种数据驱动的方法，该方法通过解释分析结果来改善实际临床护理。
