LTMCI Clinical Workshop 5.2

Enhancing Surgery Quality by Efficient Use Resources in Big Data Era

Translator: Zhongxiao Wang

On October 20th, we were honored to have a seminar of effectively using data to enhance surgical quality in big data era by 3 well-knownscreen-shot-2016-02-14-at-12-0 (1) professors: the Vice-Chair professor of surgery, Dr. Richard Whyte, at Beth Israel Deaconess and Medical Center (BIDMC); the quality control director Dr. John Tumulo,; and anesthesiologists Dr. Haobo Ma.

Firstly, Dr. Richard White introduced the concept of “quality” (i.e.: providing effective treatment and care to patients at the proper time and place). He also gave a brief talk about the history of American surgical quality management. He presented seven categories of surgical quality configuration data including clinical data, and the composition and mode of the surgical quality administration at BIDMC.

Dr. John Tumulo mainly introduced the American national surgical database ACS NSQIP, including the origin and development of the ACS NSQIP; the comprehensive collection, conduction, analysis and report of hospital quality data; and guidelines to medical practice according to the data. Dr. Tumulo also presented the internal working details and processes of BIDMC faculties. In order to ensure the doctors to get the most updated data, a surgical quality event is held every Monday morning from 6: 45AM to 7: 00AM for all the anesthesiologists, surgeons, nurses and other.

In order to give a better understanding of surgical quality data management,
Dr. Haobo Ma used a clinical case of a patient showing renal function decline (more severe than the national average level) after cardiovascular surgery, to explain how to organize a multidisciplinary team to analyze and solve problems.

Over 30 clinicians participated in this seminar, and obtained more comprehensive understanding of the American surgical quality data management system model. During the meeting, audience also discussed in-depth issues of interest with three speakers.