Introduction
We report the first prospective analysis of human factors elements contributing to invasive procedural never events using a validated Human Factors Analysis and Classification System (HFACS).
Methods
From 8/2009 - 8/2014 surgical and invasive procedural “Never Events” (retained foreign object, wrong site/side procedure, wrong implant, wrong procedure) underwent systematic causation analysis promptly after the event. Contributing human factors were categorized using Reason's 4 levels of error causation and 161 HFACS subcategories (nano-codes).
Results
During the study approximately 1.5 million procedures were performed and 69 never events were identified. A total of 628 contributing human factors nano-codes were identified. Action-based errors (n=260) and preconditions to actions (n=296) accounted for the majority of the nano-codes across all four types of events, with individual cognitive factors contributing half of the nano-codes. The most common action nano-codes were confirmation bias (n=36) and failed to understand (n=36). The most common pre-condition nano-codes were channeled attention on a single issue (n=33) and inadequate communication (n=30).
Conclusion
Targeting quality and system improvement interventions addressing cognitive factors and team resource management as well as perceptual biases may reduce errors and further improve patient safety. These results delineate targets to further reduce never events from our healthcare system.
Panelists discuss topics below and their relevance for telehealth leaders.
Current challenges for providers
Reimbursement
Workflows
Prescribing
Disparities of care
Future vision for telehealth for health-systems
Demand for ambulatory care visits is projected to increase 22% between 2008 and 2025. Given this growth, ambulatory care managers need to proactively plan for efficient use of scarce resources (ie, space, equipment, and staff). One important component of ambulatory care space (the number of examination rooms) is dependent on multiple factors, including variation in demand, hours of operation, scheduling, and staff. The authors (1) outline common data collection methods, (2) highlight analysis and reporting considerations for examination room utilization, and (3) provide a strategic framework for short- and long-term decision making for facility design or renovation.
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