Sofia Milosavljevic, Zahna Bigham, Ruhi Kanwar, Carlos Salazar, Nana Ama Adjei-Frimpong, Vinod E Nambudiri
U.S. medical school dermatology electives and diversity: a cross-sectional analysis
Archives of dermatological research
human factors analysis classification system hfacs developed practical taxonomy investigate analyse human contribution accidents incidents based reasons swiss cheese model considers individual environmental leadership organizational contributing factors four hierarchical levels aim study assess applicability modified hfacs taxonomy incident reports large anonymous critical incident database goal gaining valuable insight underlying systemic conditions recurring schemes might add important information future incident avoidance analysed 50 reports anonymous anaesthesiologic singlecentre critical incident reporting system using modified hfacscirs taxonomy 19 hfacs categories subdivided total 117 nanocodes representing specific behaviours preconditions incident development individual level frequent contributions decision errors attributed inadequate risk assessment criticalthinking failure communication coordination mostly due inadequate ineffective communication contributory twothirds reports half reports showed contributory complex interactions sociotechnical environment ratability scores noticeably lower categories evaluating leadership organizational influences necessitating careful interpretation applied hfacs taxonomy analysis cirs reports anaesthesiology constitutes structured approach especially applied large data set might help guide future mitigation intervention strategies reduce critical incidents improve patient safety improved structured reporting templates could optimize systematic analysis