Risk-Adjusted Monitoring Method for Surgical Data: Methodology for Data Analytics (Work in Progress)
Refereed conference paper presented and published in conference proceedings


摘要Hospital Authority (HA) has launched a Surgical Outcome Monitoring and Improvement Program (SOMIP), which is used to audit the surgical performance of all public hospitals in Hong Kong. One of the most important information provided by the annual SOMIP report is the changes of 30-day mortality and identify whether and when there is a significant deterioration for each hospital. However, the routine monitoring method used such as Variable Life-adjusted Display (VLAD) and Cumulative Sum Charting (CUSUM) may not be able to detect the change of surgical performance efficiently. Expected improvement or deterioration in surgical outcome may not be exactly the same as the truth. In this paper, we develop a more effective risk-adjusted monitoring method to detect the change in surgical performance. By adapting this method to SOMIP, the proposed monitoring procedure is expected to not only benefit frontline surgeons, anaesthetists and intensivists when they decide on the operations for patients, but also help managers in HA to evaluate the surgical performance and further improve surgical quality.
著者Lai X., Liu L., Lai P.B.S., Tsoi K., Wang H., Chong K.C., Zee B.
會議名稱4th IEEE International Congress on Big Data, BigData Congress 2015
會議地點New York City
詳細描述organized by IEEE Computer Society, 27 June – 2 July 2015,
頁次317 - 319
關鍵詞EWMA, monitoring performance, risk adjustment, Surgical big data

上次更新時間 2021-02-03 於 03:21