Department of Health Policy and Management, Harvard School of Public Health, Boston, MA 02115, USA.
J Am Med Inform Assoc. 2008 Sep-Oct;15(5):647-53. doi: 10.1197/jamia.M2634. Epub 2008 Jun 25.
Computerized monitors can effectively detect and potentially prevent adverse drug events (ADEs). Most monitors have been developed in large academic hospitals and are not readily usable in other settings. We assessed the ability of a commercial program to identify and prevent ADEs in a community hospital.
and Measurement We prospectively evaluated the commercial application in a community-based hospital. We examined the frequency and types of alerts produced, how often they were associated with ADEs and potential ADEs, and the potential financial impact of monitoring for ADEs.
Among 2,407 patients screened, the application generated 516 high priority alerts. We were able to review 266 alerts at the time they were generated and among these, 30 (11.3%) were considered substantially important to warrant contacting the physician caring for the patient. These 30 alerts were associated with 4 ADEs and 11 potential ADEs. In all 15 cases, the responsible physician was unaware of the event, leading to a change in clinical care in 14 cases. Overall, 23% of high priority alerts were associated with an ADE (95% confidence interval [CI] 12% to 34%) and another 15% were associated with a potential ADE (95% CI 6% to 24%). Active surveillance used approximately 1.5 hours of pharmacist time daily.
A commercially available, computer-based ADE detection tool was effective at identifying ADEs. When used as part of an active surveillance program, it can have an impact on preventing or ameliorating ADEs.
计算机化监测器可以有效地检测并可能预防药物不良事件(ADE)。大多数监测器都是在大型学术医院开发的,在其他环境中不易使用。我们评估了一种商业程序在社区医院识别和预防 ADE 的能力。
我们前瞻性地评估了社区医院的商业应用。我们检查了生成的警报的频率和类型,它们与 ADE 和潜在 ADE 的关联程度,以及监测 ADE 的潜在财务影响。
在 2407 名筛选患者中,该应用程序生成了 516 个高优先级警报。我们能够在生成时审查 266 个警报,其中 30 个(11.3%)被认为非常重要,需要联系照顾患者的医生。这 30 个警报与 4 个 ADE 和 11 个潜在 ADE 相关。在所有 15 例中,负责医生都不知道该事件,导致 14 例改变了临床治疗。总体而言,23%的高优先级警报与 ADE 相关(95%置信区间[CI]为 12%至 34%),另有 15%与潜在 ADE 相关(95%CI 为 6%至 24%)。主动监测每天大约需要 1.5 小时的药剂师时间。
一种商业上可用的基于计算机的 ADE 检测工具在识别 ADE 方面非常有效。当作为主动监测计划的一部分使用时,它可以对预防或改善 ADE 产生影响。