Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center
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, Conference
Adapa, K; Tracton, G; Mosaly, P; Yu, F; McGurk, R; Moore, C; Dooley, J; Das, S; Mazur, L
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2023
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.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2023
Volume
14034 LNCS
Start / End Page
239 / 254
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
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ICMJE
MLA
NLM
Adapa, K., Tracton, G., Mosaly, P., Yu, F., McGurk, R., Moore, C., … Mazur, L. (2023). Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14034 LNCS, pp. 239–254). https://doi.org/10.1007/978-3-031-35705-3_18
Adapa, K., G. Tracton, P. Mosaly, F. Yu, R. McGurk, C. Moore, J. Dooley, S. Das, and L. Mazur. “Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14034 LNCS:239–54, 2023. https://doi.org/10.1007/978-3-031-35705-3_18.
Adapa K, Tracton G, Mosaly P, Yu F, McGurk R, Moore C, et al. Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. p. 239–54.
Adapa, K., et al. “Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14034 LNCS, 2023, pp. 239–54. Scopus, doi:10.1007/978-3-031-35705-3_18.
Adapa K, Tracton G, Mosaly P, Yu F, McGurk R, Moore C, Dooley J, Das S, Mazur L. Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. p. 239–254.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2023
Volume
14034 LNCS
Start / End Page
239 / 254
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences