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Jennifer Shang: Leveraging Big Data to Balance New Key Performance Indicators in Emergency Physician Management Networks
发布日期:2018-08-07  字号:   【打印

报告时间2018年8月11日(星期六)14:30

报告地点:管理学院四楼

  Jennifer Shang 教授

工作单位美国匹兹堡大学Katz商学院

举办单位:管理学院

报告人简介

Jennifer Shang是美国匹兹堡大学Katz商学院运作管理专业教授,目前担任学科领域主任(Area Director)。Jennifer Shang教授是运营管理和营销领域的国际知名专家,她的研究方向包括医疗服务管理、生产和服务运作管理、收益管理等,在管理和营销学领域的国际顶级期刊Management Science,Marketing Science,Information Systems Research,Journal of Marketing, Production and Operations Management 等发表论文90余篇。

报告简介

Managing emergency physicians is a complex task and has increasingly intensified with the recent consolidation of many emergency departments (EDs). Large‐scale physician groups are facing challenges in resource deployment and performance evaluation. To objectively evaluate physicians across facilities, we leverage big data from an emergency physician management network and propose data‐driven metrics using a large‐scale database consisting of 84 hospitals, 1,079 physicians, and 10,615,879 patient visits in 14 states over 600,000 clinical shifts from 2010 to 2014. To ensure physicians are fairly evaluated and compensated within diverse facilities, we propose an index system and use clustering to help identify factors which might impact physician performance. The proposed indices benchmark physicians from the perspectives of revenue potential, patient volume, patient complexity, and patient experience by controlling for exogenous factors at the facility level. We empirically show the volume and complexity indices are key elements of the revenue potential index, and use two‐stage least squares regression to relate volume and complexity and uncover their drivers. Revenue potential and patient experience are found to be positively correlated, which suggests productive physicians are often liked by their patients. Through implementing the proposed evaluation system, administrators can better manage and incentivize physicians and provide directions for performance improvement, while controlling for location idiosyncrasies.

(姜元春/文)  
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