1. 주 제 : Safety Review of Electronic Medical Record Use and Enhancement of Systems Safety Analysis Methods

2. 연 사 : David B. Kaber is a Distinguished Professor of Industrial and Systems Engineering at North Carolina State University (NCSU) and an associate faculty member in Biomedical Engineering and Psychology. He is Director of Research for the Ergonomics Center of North Carolina and a NIOSH-sponsored Occupational Safety and Ergonomics education and research program at NC State. His current research interests include virtual reality simulation design for motor task learning, human performance and workload management in multitasking with cognitive and physical demands, and electronic medical record design for usability. Kaber received his PhD from Texas Tech University in 1996. He is a fellow of the Institute of Industrial & Systems Engineers and the Human Factors & Ergonomics Society.

3. 내 용 : This seminar will cover two related topics: (1) a constrained review of safety analyses of electronic medical record (EMR) use and design recommendations; and (2) enhanced hazard analysis and risk assessment for design of human-automation interaction. Previous research has found use of EMRs to promote safety culture in primary care providers. However, there are concerns that such technology also creates new safety issues leading to patient harm. The first study summarizes research on potential hazards in EMR use, as well as studies making use of safety analysis techniques. A set of design recommendations is formulated for enhanced EMRs to mitigate user performance problems and potential patient safety hazards. Prototype EMR interface designs will be presented along with some preliminary evaluation results. The second study addresses how system safety analysis (SSA) techniques can be enhanced to better support designers in facilitating human-automation interaction safety. Few existing SSA methods focus on interaction of multiple system components (e.g., humans and hardware) and no methods currently provide capability to quantify impact of human/automation reliability on risk exposure. Limitations of existing risk assessment approaches include assumption of system component reliability with age. Several means for human and automation reliability assessment are identified and a risk-reliability (R-R) scoring index is proposed. An enhanced systems hazard analysis method is presented including classification of human errors, human reliability/capacity values, automation reliability values, R-R scores, hazard control recommendations and potential system benefits. Outcomes of this method include prediction of system vulnerability levels at future points in time due to age.

4. 일 시 : 2016년 5월 23일 (월) 오전 10시

5. 장 소 : 39동 B103호

6. 문 의 : 윤명환교수 (mhy@snu.ac.kr)