Protocolization of Analgesia and Sedation Through Smart Technology in Intensive Care: Improving Patient Safety.

IF 2 4区 医学 Q3 CRITICAL CARE MEDICINE Critical care nurse Pub Date : 2023-08-01 DOI:10.4037/ccn2023271
Isabel Muñoz Ojeda, Marina Sánchez-Cuervo, Ángel Candela-Toha, Dolores R Serrano-López, Teresa Bermejo-Vicedo, Juan Miguel Alcaide-López-de-Lerma
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Abstract

Background: The risk of medication errors in intensive care units is high, primarily in the drug administration phase.

Local problem: Management of high-alert medications within intensive care units in the study institution varied widely. The aim of this quality improvement project was to protocolize and centralize the management of high-alert medications in acute care settings and to implement smart intravenous infusion pump technology in intensive care units.

Methods: The project was conducted in 4 phases: (1) protocolization and standardization of intravenous mixtures, (2) centralization of intravenous mixture preparation in the Pharmacy Department, (3) programming of the smart pumps, and (4) dissemination and staged implementation of intravenous mixture protocols. Smart pumps (Alaris, CareFusion) were used to deliver the medicines, and the manufacturer's software (Alaris Guardrails, CareFusion) was used to analyze data regarding adherence to the drug library and the number of programming errors detected.

Results: Morphine, remifentanil, fentanyl, midazolam, dexmedetomidine, and propofol were included. After implementation of the smart pumps, 3283 infusions were started; of these, 2198 were programmed through the drug library, indicating 67% compliance with the safety software. The pumps intercepted 398 infusion-related programming errors that led to cancellation or reprogramming of drug infusions.

Conclusions: Protocolization and centralization of the preparation of high-alert sedative and analgesic medications for critically ill patients and the administration of these drugs using smart pump technology decrease variability of clinical practice and intercept potentially serious medication errors.

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通过智能技术在重症监护中实现镇痛和镇静:提高患者安全。
背景:重症监护病房的用药错误风险很高,主要发生在给药阶段。局部问题:在研究机构的重症监护病房中,高警戒性药物的管理差异很大。本质量改进项目的目的是对急症护理环境中高危药物进行规范化和集中管理,并在重症监护病房实施智能静脉输液泵技术。方法:项目分4个阶段进行:(1)静脉配药方案化与标准化;(2)药剂科静脉配药集中管理;(3)智能泵编程;(4)静脉配药方案的传播与分阶段实施。智能泵(Alaris, CareFusion)用于输送药物,制造商的软件(Alaris guarails, CareFusion)用于分析药物库依从性和检测到的编程错误数量的数据。结果:包括吗啡、瑞芬太尼、芬太尼、咪达唑仑、右美托咪定、异丙酚。智能泵实施后,启动了3283次输注;其中,2198例通过药物库编程,表明67%符合安全软件。这些泵拦截了398个与输注相关的编程错误,这些错误导致药物输注被取消或重新编程。结论:危重患者高警觉性镇静镇痛药物的方案化和集中制备以及使用智能泵技术给药减少了临床实践的可变性,并拦截了潜在的严重用药错误。
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来源期刊
Critical care nurse
Critical care nurse 医学-护理
CiteScore
2.80
自引率
0.00%
发文量
68
审稿时长
>12 weeks
期刊介绍: Critical Care Nurse (CCN) is an official publication of the American Association of Critical-Care Nurses (AACN). Authors are invited to submit manuscripts for consideration and peer review. Clinical topics must meet the mission of CCN and address nursing practice of acute and critically ill patients.
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