Cleveland Clinic Lerner College of Medicine, Cleveland, OH, United States of America.
Department of Quality, Safety and Patient Experience, Cleveland Clinic, Cleveland, OH, United States of America.
Am J Otolaryngol. 2022 Sep-Oct;43(5):103598. doi: 10.1016/j.amjoto.2022.103598. Epub 2022 Aug 9.
The time and cost of data collection via chart review of the electronic medical record (EMR) is a research barrier. This study describes the development of a digital dashboard conjoining EMR and finance data and its application in a pediatric otolaryngology practice.
The dashboard creates a common language crosswalk between surgeries via the EMR, financial data, and national Vizient database. First, all Otolaryngology procedures billed via ICD-10 or CPT codes were categorized into Procedure Groups, which constitute the common language that links all data sources. The joined dataset was inputted into a Tableau workbook supporting dynamic filtering and custom real-time analysis.
The dashboard includes 84 Procedure Groups within Otolaryngology. Examples for pediatrics include Sistrunk procedure and supraglottoplasty. User-friendly dynamic filtering by Procedure Group, surgery date range, age, insurance, hospital, surgeon, and discharge status were developed. Outcomes include length of stay, telephone callbacks, postoperative hemorrhage, reoperations, return to Emergency Department, readmissions, and mortality. National comparisons can be analyzed via embedded Vizient data. The usability of the dashboard was tested by evaluating pediatric tonsillectomy outcomes, which revealed a significantly higher rate of postoperative hemorrhages and reoperations during the COVID-19 pandemic.
The hybrid finance/EMR dashboard creates a crosswalk between data sources and shows utility for use in evaluating patient outcomes via real-time data analysis and dynamic filtering. This innovative dashboard expedites data extraction, promoting efficient implementation of quality improvement initiatives and surgical outcomes research.
通过电子病历(EMR)的图表审查来收集数据既耗时又费成本,这成为了研究的障碍。本研究描述了一种将 EMR 和财务数据结合在一起的数字仪表板的开发及其在小儿耳鼻喉科实践中的应用。
该仪表板通过 EMR、财务数据和全国 Vizient 数据库为手术创建了一种交叉语言的转换。首先,所有通过 ICD-10 或 CPT 代码计费的耳鼻喉科手术都被归入手术组别,这构成了连接所有数据源的通用语言。合并后的数据集被输入到一个支持动态筛选和自定义实时分析的 Tableau 工作簿中。
该仪表板包含耳鼻喉科的 84 个手术组别。儿科的例子包括 Sistrunk 手术和会厌成形术。开发了按手术组别、手术日期范围、年龄、保险、医院、外科医生和出院状态进行用户友好的动态筛选。结果包括住院时间、电话随访、术后出血、再次手术、返回急诊部、再入院和死亡率。通过嵌入的 Vizient 数据可以进行全国性的比较分析。通过评估小儿扁桃体切除术的结果来测试仪表板的可用性,结果显示在 COVID-19 大流行期间,术后出血和再次手术的发生率明显更高。
混合财务/EMR 仪表板在数据源之间创建了一个交叉路径,并通过实时数据分析和动态筛选显示出用于评估患者结果的实用性。这种创新的仪表板加快了数据提取的速度,促进了质量改进计划和手术结果研究的有效实施。