School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Texas, USA.
Stud Health Technol Inform. 2023 Jun 22;304:117-121. doi: 10.3233/SHTI230385.
High cholesterol is a risk factor for developing Atherosclerotic Cardiovascular Disease. Poorly designed health data displays cause an undue cognitive burden on clinicians. Simplified line graphs (i.e., sparklines) could support efficient cognitive processing and interpretation of lipid panel results. Clinical concepts for cognitive tasks assessing low-density lipoprotein laboratory results were analyzed according to their internal representations and data scale types. A sparkline external representation aligns more closely with the internal representations for mental tasks associated with identifying abnormalities and assessing trends compared to traditional tabular displays. By simplifying the health data display with sparklines, faster cognitive processing is theoretically supported.
高胆固醇是导致动脉粥样硬化性心血管疾病的一个风险因素。设计不佳的健康数据显示会给临床医生带来不必要的认知负担。简化的线性图（即迷你图）可以支持对血脂检测结果进行高效的认知处理和解释。根据认知任务的内部表示和数据刻度类型，分析了用于评估低密度脂蛋白实验室结果的临床概念。与传统的表格显示相比，迷你图的外部表示与识别异常和评估趋势等相关精神任务的内部表示更为一致。通过使用迷你图简化健康数据显示，可以在理论上支持更快的认知处理。
