Development and testing of the PAtient SafeTy risk Assessment (PASTA) tool to maximise learning from patient safety incidents in healthcare organisati

每20名患者中就有1人在医疗服务中受到可预防的伤害；这意味着NHS每26秒就会发生一起患者安全事故。医疗保健组织学习是最小化风险和提高患者安全的关键。尽管世界各地对卫生系统进行了大量投资，以了解风险，但统计数据显示，与该系统的努力和成本相称，伤害、严重错误或死亡的减少微乎其微。通过案例交叉分析，博士将开发一种解决方案，以便与涉及患者安全事件的医疗保健专业人员一起敏感地探索复杂的风险模式，从而快速了解发生医疗错误（或未遂事故）的原因，并及时决定干预优先级和改进行动。将遵循临床研究的伦理准则。我们将在获得研发批准（IRAS）后寻求伦理审查。如果出现COVID-19限制，该项目可以作为案头研究（使用电话访谈）进行，以减少直接暴露于医疗保健环境。

One in 20 patients is exposed to preventable harm in medical care; translating to one patient safety incident occurring every 26 seconds in the NHS. Healthcare organisational learning is key to minimising risk and improving patient safety. Despite major investments in health systems worldwide to understand risk, the statistics show minimal reductions in harm, serious error or death commensurate with the effort and costs of the system. Using case-cross over analysis, the PhD will develop a solution to sensitively explore complex patterns of risk(s) with healthcare professionals involved in a patient safety incident to quickly learn why a medical error (or near-miss) occurred and enable timely decisions about intervention priorities and actions for improvement. Ethical guidelines for clinical research will be followed. We will seek ethical review followed by R&D approval (IRAS). Should COVID-19 constraints ensue, the project can be conducted as desk research (using telephone interviews) to mitigate exposure directly to healthcare environments.