David W. Bates (
Hardeep Singh is chief of the Health Policy, Quality, and Informatics Program, Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, and a professor of medicine at the Baylor College of Medicine, both in Houston, Texas.
Health Aff (Millwood). 2018 Nov;37(11):1736-1743. doi: 10.1377/hlthaff.2018.0738.
The Institute of Medicine's To Err Is Human, published in 1999, represented a watershed moment for the US health care system. The report dramatically raised the profile of patient safety and stimulated dedicated research funding to this essential aspect of patient care. Highly effective interventions have since been developed and adopted for hospital-acquired infections and medication safety, although the impact of these interventions varies because of their inconsistent implementation and practice. Progress in addressing other hospital-acquired adverse events has been variable. In the past two decades additional areas of safety risk have been identified and targeted for intervention, such as outpatient care, diagnostic errors, and the use of health information technology. In sum, the frequency of preventable harm remains high, and new scientific and policy approaches to address both prior and emerging risk areas are imperative. With the increasing availability of electronic data, investments must now be made in developing and testing methods to routinely and continuously measure the frequency and types of patient harm and even predict risk of harm for specific patients. This progress could lead us from a Bronze Age of rudimentary tool development to a Golden Era of vast improvement in patient safety.
《Institute of Medicine's To Err Is Human》于 1999 年出版,这代表着美国医疗保健系统的一个分水岭时刻。该报告极大地提高了患者安全的知名度,并为患者护理的这一重要方面提供了专门的研究资金。此后,针对医院获得性感染和药物安全问题,已经开发并采用了非常有效的干预措施,尽管由于实施和实践的不一致,这些干预措施的效果有所不同。在解决其他医院获得性不良事件方面,进展情况各不相同。在过去的二十年中,已经确定并针对其他安全风险领域进行了干预,例如门诊护理、诊断错误和使用医疗信息技术。总之,可预防的伤害仍然频繁发生,必须采用新的科学和政策方法来解决先前和新出现的风险领域。随着电子数据的日益普及,现在必须投资开发和测试方法,以便定期和连续地衡量患者伤害的频率和类型,甚至预测特定患者的伤害风险。这一进展可能使我们从基本工具开发的青铜时代过渡到患者安全大幅改善的黄金时代。