ABSTRACT
Health care has primarily used retrospective review approaches to identify and mitigate hazards, with little evidence of measurable and sustained improvements in patient safety. Conversely, the nuclear power industry has used a prospective peer-to-peer (P2P) assessment process grounded in open information exchange and cooperative organizational learning to realize substantial and sustainable improvements in safety. In comparing approaches, it is evident that health care's sluggish progress stems from weaknesses in hazard identification and mitigation and in organizational learning. This article proposes creating and implementing a structured prospective P2P assessment model in health care, similar to that used in the nuclear power industry, to accelerate improvements in patient safety.
Subject(s)
Nuclear Power Plants/standards , Peer Review/methods , Process Assessment, Health Care/methods , Quality Assurance, Health Care/organization & administration , Safety/standards , Humans , Patient Safety/standards , Prospective Studies , Quality Assurance, Health Care/methods , Retrospective Studies , Safety Management/standardsABSTRACT
BACKGROUND: Incident-reporting systems (IRS) collect snapshots of hazards, mistakes and system failures occurring in healthcare. These data repositories are a cornerstone of patient safety improvement. Compared with systems in other high-risk industries, healthcare IRS are fragmented and isolated, and have not established best practices for implementation and utilisation. DISCUSSION: Patient safety experts from eight countries convened in 2008 to establish a global community to advance the science of learning from mistakes. This convenience sample of experts all had experience managing large incident-reporting systems. This article offers guidance through a presentation of expert discussions about methods to identify, analyse and prioritise incidents, mitigate hazards and evaluate risk reduction.
