Morris A H
Pulmonary Division, LDS Hospital, Salt Lake City, Utah 84143, USA.
Qual Saf Health Care. 2002 Mar;11(1):69-75. doi: 10.1136/qhc.11.1.69.
Safety in the clinical environment is based on structures that reduce the probability of harm, on evidence that enhances the likelihood of actions that increase favourable outcomes, and on explicit directions that lead to decisions to implement the actions dictated by this evidence. A clinical decision error rate of only 1% threatens patient safety at a distressing frequency. Explicit computerised decision support tools standardise clinical decision making and lead different clinicians to the same set of diagnostic or therapeutic instructions. They have favourable impacts on patient outcome. Simple computerised algorithms that generate reminders, alerts, or other information, and protocols that incorporate more complex rules reduce the clinical decision error rate. Decision support tools are not new; it is the new attributes of explicit computerised decision support tools that deserve identification. When explicit computerised protocols are driven by patient data, the protocol output (instructions) is patient specific, thus preserving individualized treatment while standardising clinical decisions. The expected decrease in variation and increase in compliance with evidence-based recommendations should decrease the error rate and enhance patient safety.
能够降低伤害可能性的结构、能提高产生有利结果行动可能性的证据,以及能导致做出实施该证据所规定行动决策的明确指示。仅1%的临床决策错误率就会以令人担忧的频率威胁患者安全。明确的计算机化决策支持工具使临床决策标准化,并引导不同的临床医生遵循同一套诊断或治疗指导。它们对患者预后有积极影响。生成提醒、警报或其他信息的简单计算机算法,以及包含更复杂规则的方案,可降低临床决策错误率。决策支持工具并非新生事物;明确的计算机化决策支持工具的新特性才值得关注。当明确的计算机化方案由患者数据驱动时,方案输出(指导)是针对特定患者的,从而在使临床决策标准化的同时保留个体化治疗。预期的变异性降低以及对循证推荐依从性的提高应会降低错误率并增强患者安全。