Executive Summary of the Assessing Surgical Site Infection Surveillance Technologies (ASSIST) Project

被引：5
|
作者：
Evans, Heather L. [1 ]
Evans, Heather [2 ]
Lober, William [3 ]
Lavallee, Danielle [3 ]
Tejedor, Sheri Chernetsky [4 ]
Dellinger, E. Patchen [3 ]
Hedrick, Traci [5 ]
Huang, Shuai [3 ]
Pollock, Dan [6 ]
Samareh, Aven [3 ]
Sawyer, Robert G. [7 ]
Semple, John [8 ]
Sharma, Jyotirmay [9 ]
Wick, Elizabeth [10 ]
Lee, Jenney [3 ]
Lawrence, Sarah [3 ]
机构：
[1] Med Univ South Carolina, Dept Surg, 96 Jonathan Lucas St,CSB 426 MSC 613, Charleston, SC 29425 USA
[2] Med Univ South Carolina, Charleston, SC 29425 USA
[3] Univ Washington, Seattle, WA 98195 USA
[4] Emory Univ, Ctr Dis Control, Atlanta, GA 30322 USA
[5] Univ Virginia, Charlottesville, VA 22903 USA
[6] Ctr Dis Control & Prevent, Atlanta, GA USA
[7] Western Michigan Univ, Kalamazoo, MI 49008 USA
[8] Univ Toronto, Toronto, ON, Canada
[9] Emory Univ, Atlanta, GA 30322 USA
[10] Univ Calif San Francisco, San Francisco, CA 94143 USA
来源：
SURGICAL INFECTIONS | 2019年 / 20卷 / 07期
关键词：
surgical wound infection; mobile health; patient generated health data; smartphone; postoperative care; technology assessment;
D O I：
10.1089/sur.2019.171
中图分类号：
R51 [传染病];
学科分类号：
100401 ;
摘要：
Background: 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). Conclusion: 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.
引用
收藏
页码：527 / 529
页数：3
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