Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center

被引：0

作者：

Adapa, Karthik ^{[1
,2
]}

Tracton, Gregg ^{[2
]}

Mosaly, Prithima ^{[3
]}

Yu, Fei ^{[4
]}

McGurk, Ross ^{[2
]}

Moore, Carlton ^{[5
]}

Dooley, John ^{[2
]}

Das, Shiva ^{[2
]}

Mazur, Lukasz ^{[1
,2
,3
]}

机构：

[1] Univ N Carolina, Carolina Hlth Informat Program, Chapel Hill, NC 27599 USA

[2] Univ N Carolina, Dept Radiat Oncol, Chapel Hill, NC 27599 USA

[3] Ben Allegretti Consulting Inc, Stafford, VA USA

[4] Univ N Carolina, Sch Informat & Lib Sci, Chapel Hill, NC USA

[5] Univ N Carolina, Sch Med, Dept Med, Chapel Hill, NC USA

来源：

DESIGN, USER EXPERIENCE, AND USABILITY, DUXU 2023, PT V | 2023年 / 14034卷

关键词：

Quality assurance; Checklist; Radiation oncology; HEURISTICS; SAFETY;

D O I：

10.1007/978-3-031-35705-3_18

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Academic radiation oncology centers have a long history of developing in-house quality assurance (QA) checklists to promote patient safety. These checklists are designed without utilizing formal human-computer interaction methods and are deployed without robust usability evaluation. We applied the Task, User, Representation, and Function (TURF) framework to identify design changes to a dosimetry QA checklist currently deployed in our institution. We found that the TURF framework provided great insights to improve the usability of QA checklists.

引用

页码：239 / 254

页数：16

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