Identifying and Reducing Disruption within Surgical Process using Lean Thinking and Information Quality Concepts
This research aims to develop surgical process decision support methodology that: identifies the sources of disruption affecting surgical process;Smoothes surgical flow, and;decreases surgical errors and ultimately adverse events that not attributed to surgeon medical knowledge. The project answers the following main research question: How disruption affecting surgical process can be identified and reduced? To answer this research question, three supplementary questions are required to be addressed;(1) What elements of information flow govern the implementation of an existing activity within surgical process? (2) What information is needed from other activities before starting and completing the existing activity? (3) How can the interdependencies between disruption events be identified?
Quality Assurance Information Quality Lean Thinking Surgical Process Data Quality
Latif Al-Hakim Ying Su
Faculty of Business, University of Southern Queensland,Toowoomba,Queensland,4350,Australia Information Quality Lab, Resource Sharing Promotion Center, Institute of Scientific and Technical In
国际会议
北京
英文
604-609
2010-11-27（万方平台首次上网日期，不代表论文的发表时间）