基于临床决策支持系统(CDSS)的医院中风概率(使用弗雷明汉风险评分法

Arinda Lironika Suryana, Mudafiq Riyan Pratama, Gamasiano Alfiansyah
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引用次数: 0

摘要

中风是印度尼西亚人的主要死因。中风风险因素的识别可以使用临床决策支持系统(CDSS)。研究人员使用弗雷明汉风险评分(FRS)方法设计并开发了一个 CDSS,用于识别中风患者。本研究是一项分析性观察研究,使用的二手数据来自神经内科患者的病历文件。.采用的抽样技术是符合纳入标准和排除标准的偶然抽样。选择病历的纳入标准是病历中包含性别、年龄、收缩压、总胆固醇、高密度脂蛋白、吸烟行为、糖尿病史和患者中风发病率等完整数据,因此获得了 14 份患者病历。数据采用 FRS 方法进行分析。根据研究结果,可以得出结论:高风险患者有 8 人,低风险患者有 6 人。不过,还需要进一步研究变量之间的关系,以便为降低社会中风发病率做出更详细的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Probability of Stroke Based on Clinical Decision Support System (CDSS) using the Framingham Risk Score Method in Hospital
Stroke is the main cause of death in Indonesia. Identification of stroke risk factors can use the Clinical Decision Support System (CDSS). Researchers have designed and developed a CDSS using the Framingham Risk Score (FRS) method to identify stroke in patients. The study aims to identify stroke risk factors using CDSS with the Framingham Risk Score method in dr Soebandi Hospital.This research was an analytic observational study using secondary data from medical record documents of neurology patients. . The sampling technique used was incidental sampling that met the inclusion criteria and exclusion criteria. The inclusion criteria used in selecting medical records were medical records that had complete data regarding gender, age, systolic blood pressure, total cholesterol, HDL, smoking behavior, history of diabetes mellitus, and the patient's stroke incidence thus obtaining 14 patient medical records.. Data were analyzed using the FRS method. Based on the research results, it can be concluded that there were 8 patients with high risk and 6 patients with low risk. However, further research needs to be carried out on the relationship between variables so that they can contribute in more detail to efforts to reduce the prevalence of stroke in society.
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