时间轴
医学
可视化
数据可视化
多学科方法
外科手术组
医学物理学
多学科团队
纵向数据
医学诊断
手术计划
综合数据
外科手术
正颌外科
队列
图表
医疗保健
数据科学
梅德林
队列研究
原始数据
相关性(法律)
作者
Elaine Lin,Victoria N. Yi,Kristina Dunworth,Meredith Cox,kamlesh patel,Alexander C. Allori
标识
DOI:10.1177/10556656251413363
摘要
ObjectiveDevelop and apply novel data visualization techniques to analyze longitudinal cleft surgical care and to identify patterns in treatment timing and procedural burden across 2 cleft teams.DesignRetrospective cohort study of operative data using novel data visualization methods.SettingTwo cleft teams in the United States.Patients and ParticipantsPatients with cleft lip and/or palate with operative clinical encounters between 2018 and 2023. Team A had 228 patients and team B had 355.InterventionsVisualization of primary cleft-related surgical procedures which were cleft lip and palate repair, fistula repair, alveolar bone grafting, correction of velopharyngeal insufficiency, orthognathic surgery, and rhinoplasty.Main Outcome Measure(s)Visual interpretation of surgical timing, frequency, volume, and distribution using novel timelines, stacked-bar charts, and ridgeplots.ResultsTimeline visualizations clarified procedural sequencing and highlighted variation in treatment timing by team and phenotype but were too dense for interpretation for a large volume of patients. Stacked-bar charts illustrated procedural volume but lacked temporal insight. Ridgeplots demonstrated both timing of procedures and aggregate team volume.ConclusionsIndividual patient timelines can effectively depict deviation from "ideal" care protocols, but aggregate data may be best depicted by a ridgeplot. These tools may support quality improvement initiatives by transforming raw data into actionable insights and enhancing multidisciplinary team reflection.
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