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

页码：527 / 529

页数：3

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