Department of Surgery, Medical University of South Carolina, Charleston, South Carolina.
Surg Infect (Larchmt). 2019 Oct;20(7):527-529. doi: 10.1089/sur.2019.171. Epub 2019 Jul 23.
The expert panel that conducted the Assessing Surgical Site Infection Surveillance Technologies (ASSIST) project elaborates on the key findings of the health technologies assessment (HTA) report in a series of articles addressing topics from workflow challenges to implementation strategies to new big data analytics tailored to incorporate serial patient-generated health data (PGHD). By reporting on the methodology, with an emphasis on stakeholder engagement, the ASSIST investigators provide the basis for a future deep dive into the next phase of PGHD integration into surgical site infection (SSI) surveillance.
ASSIST 项目的专家小组对医疗技术评估(HTA)报告的主要发现进行了详细说明,该报告由一系列文章组成,涵盖了从工作流程挑战到实施策略的主题,以及针对串行患者生成的健康数据(PGHD)量身定制的新大数据分析。ASSIST 研究人员通过报告方法,重点介绍利益相关者的参与,为未来深入探讨将 PGHD 整合到手术部位感染(SSI)监测的下一阶段奠定了基础。