Knighton Andrew J, Kuttler Kathryn G, Ranade-Kharkar Pallavi, Allen Lauren, Throne Taylor, Jacobs Jason R, Carpenter Lori, Winberg Carrie, Johnson Kyle, Shrestha Neer, Ferraro Jeffrey P, Wolfe Doug, Peltan Ithan D, Srivastava Rajendu, Grissom Colin K
Healthcare Delivery Institute, Intermountain Healthcare, Murray, Utah, USA.
Digital Technology Services, Intermountain Healthcare, Salt Lake City, Utah, USA.
JAMIA Open. 2022 Jul 8;5(2):ooac050. doi: 10.1093/jamiaopen/ooac050. eCollection 2022 Jul.
Computer-aided decision tools may speed recognition of acute respiratory distress syndrome (ARDS) and promote consistent, timely treatment using lung-protective ventilation (LPV). This study evaluated implementation and service (process) outcomes with deployment and use of a clinical decision support (CDS) synchronous alert tool associated with existing computerized ventilator protocols and targeted patients with possible ARDS not receiving LPV.
We performed an explanatory mixed methods study from December 2019 to November 2020 to evaluate CDS alert implementation outcomes across 13 intensive care units (ICU) in an integrated healthcare system with >4000 mechanically ventilated patients annually. We utilized quantitative methods to measure service outcomes including CDS alert tool utilization, accuracy, and implementation effectiveness. Attitudes regarding the appropriateness and acceptability of the CDS tool were assessed via an electronic field survey of physicians and advanced practice providers.
Thirty-eight percent of study encounters had at least one episode of LPV nonadherence. Addition of LPV treatment detection logic prevented an estimated 1812 alert messages (41%) over use of disease detection logic alone. Forty-eight percent of alert recommendations were implemented within 2 h. Alert accuracy was estimated at 63% when compared to gold standard ARDS adjudication, with sensitivity of 85% and positive predictive value of 62%. Fifty-seven percent of survey respondents observed one or more benefits associated with the alert.
Introduction of a CDS alert tool based upon ARDS risk factors and integrated with computerized ventilator protocol instructions increased visibility to gaps in LPV use and promoted increased adherence to LPV.
计算机辅助决策工具可能会加快急性呼吸窘迫综合征(ARDS)的识别,并促进使用肺保护性通气(LPV)进行一致、及时的治疗。本研究评估了与现有计算机化通气协议相关的临床决策支持(CDS)同步警报工具的部署和使用情况,以及针对可能未接受LPV的ARDS患者的实施和服务(流程)结果。
我们在2019年12月至2020年11月期间进行了一项解释性混合方法研究,以评估一个综合医疗系统中13个重症监护病房(ICU)的CDS警报实施结果,该系统每年有超过4000名机械通气患者。我们采用定量方法来衡量服务结果,包括CDS警报工具的使用情况、准确性和实施效果。通过对医生和高级实践提供者的电子现场调查,评估了对CDS工具的适当性和可接受性的态度。
38%的研究病例至少有一次LPV未依从事件。添加LPV治疗检测逻辑比仅使用疾病检测逻辑估计可防止1812条警报信息(41%)。48%的警报建议在2小时内得到实施。与ARDS金标准判定相比,警报准确性估计为63%,敏感性为85%,阳性预测值为62%。57%的调查受访者观察到与警报相关的一个或多个益处。
引入基于ARDS风险因素并与计算机化通气协议指令集成的CDS警报工具,提高了对LPV使用差距的可见性,并促进了对LPV依从性的提高。