Wanderer Jonathan P, Ehrenfeld Jesse M
1Vanderbilt University Medical Center, Nashville, TN, USA.
Semin Cardiothorac Vasc Anesth. 2013 Dec;17(4):288-93. doi: 10.1177/1089253213490078. Epub 2013 May 20.
Clinical decision support (CDS) systems are being used to optimize the increasingly complex care that our health care system delivers. These systems have become increasingly important in the delivery of perioperative care for patients undergoing cardiac, thoracic, and vascular procedures. The adoption of perioperative information management systems (PIMS) has allowed these technologies to enter the operating room and support the clinical work flow of anesthesiologists and operational processes. Constructing effective CDS systems necessitates an understanding of operative work flow and technical considerations as well as achieving integration with existing information systems. In this review, we describe published examples of CDS for PIMS, including support for cardiopulmonary bypass separation physiological alarms, β-blocker guideline adherence, enhanced revenue capture for arterial line placement, and detection of hemodynamic monitoring gaps. Although these and other areas are amenable to CDS systems, the challenges of latency and data reliability represent fundamental limitations on the potential application of these tools to specific types of clinical issues. Ultimately, we expect that CDS will remain an important tool in our efforts to optimize the quality of care delivered.
临床决策支持(CDS)系统正被用于优化我们医疗保健系统所提供的日益复杂的护理。这些系统在为接受心脏、胸科和血管手术的患者提供围手术期护理方面变得越来越重要。围手术期信息管理系统(PIMS)的采用使这些技术得以进入手术室,并支持麻醉医生的临床工作流程和操作流程。构建有效的CDS系统需要了解手术工作流程和技术考量,以及实现与现有信息系统的集成。在本综述中,我们描述了已发表的PIMS的CDS示例,包括对体外循环分离生理警报的支持、β受体阻滞剂指南依从性、动脉置管增加收入获取以及血流动力学监测间隙检测。尽管这些及其他领域适用于CDS系统,但延迟和数据可靠性挑战是这些工具在特定类型临床问题潜在应用中的根本限制。最终,我们预计CDS仍将是我们优化所提供护理质量努力中的重要工具。