Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support
A formal assessment of pharmacogenomics clinical decision support (PGx-CDS) by providers is lacking in the literature. The objective of this study was to evaluate the usability of PGx-CDS tools that have been implemented in a healthcare setting. We enrolled ten prescribing healthcare providers and h...
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2021
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oai:doaj.org-article:96f17cbfed494c0bb338c2a177ab9b6f2021-11-25T18:08:09ZUtilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support10.3390/jpm111112272075-4426https://doaj.org/article/96f17cbfed494c0bb338c2a177ab9b6f2021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4426/11/11/1227https://doaj.org/toc/2075-4426A formal assessment of pharmacogenomics clinical decision support (PGx-CDS) by providers is lacking in the literature. The objective of this study was to evaluate the usability of PGx-CDS tools that have been implemented in a healthcare setting. We enrolled ten prescribing healthcare providers and had them complete a 60-min usability session, which included interacting with two PGx-CDS scenarios using the “Think Aloud” technique, as well as completing the Computer System Usability Questionnaire (CSUQ). Providers reported positive comments, negative comments, and suggestions for the two PGx-CDS during the usability testing. Most provider comments were in favor of the current PGx-CDS design, with the exception of how the genotype and phenotype information is displayed. The mean CSUQ score for the PGx-CDS overall satisfaction was 6.3 ± 0.95, with seven strongly agreeing and one strongly disagreeing for overall satisfaction. The implemented PGx-CDS at our institution was well received by prescribing healthcare providers. The feedback collected from the session will guide future PGx-CDS designs for our healthcare system and provide a framework for other institutions implementing PGx-CDS.Amanda L. ElchynskiNina DesaiDanielle D’SilvaBradley HallYael MarksKristin WiisanenEmily J. CicaliLarisa H. CavallariKhoa A. NguyenMDPI AGarticleclinical decision supportpharmacogenomicshuman–computer interactionusability evaluationformal assessmentMedicineRENJournal of Personalized Medicine, Vol 11, Iss 1227, p 1227 (2021) |
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clinical decision support pharmacogenomics human–computer interaction usability evaluation formal assessment Medicine R |
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clinical decision support pharmacogenomics human–computer interaction usability evaluation formal assessment Medicine R Amanda L. Elchynski Nina Desai Danielle D’Silva Bradley Hall Yael Marks Kristin Wiisanen Emily J. Cicali Larisa H. Cavallari Khoa A. Nguyen Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
description |
A formal assessment of pharmacogenomics clinical decision support (PGx-CDS) by providers is lacking in the literature. The objective of this study was to evaluate the usability of PGx-CDS tools that have been implemented in a healthcare setting. We enrolled ten prescribing healthcare providers and had them complete a 60-min usability session, which included interacting with two PGx-CDS scenarios using the “Think Aloud” technique, as well as completing the Computer System Usability Questionnaire (CSUQ). Providers reported positive comments, negative comments, and suggestions for the two PGx-CDS during the usability testing. Most provider comments were in favor of the current PGx-CDS design, with the exception of how the genotype and phenotype information is displayed. The mean CSUQ score for the PGx-CDS overall satisfaction was 6.3 ± 0.95, with seven strongly agreeing and one strongly disagreeing for overall satisfaction. The implemented PGx-CDS at our institution was well received by prescribing healthcare providers. The feedback collected from the session will guide future PGx-CDS designs for our healthcare system and provide a framework for other institutions implementing PGx-CDS. |
format |
article |
author |
Amanda L. Elchynski Nina Desai Danielle D’Silva Bradley Hall Yael Marks Kristin Wiisanen Emily J. Cicali Larisa H. Cavallari Khoa A. Nguyen |
author_facet |
Amanda L. Elchynski Nina Desai Danielle D’Silva Bradley Hall Yael Marks Kristin Wiisanen Emily J. Cicali Larisa H. Cavallari Khoa A. Nguyen |
author_sort |
Amanda L. Elchynski |
title |
Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_short |
Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_full |
Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_fullStr |
Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_full_unstemmed |
Utilizing a Human–Computer Interaction Approach to Evaluate the Design of Current Pharmacogenomics Clinical Decision Support |
title_sort |
utilizing a human–computer interaction approach to evaluate the design of current pharmacogenomics clinical decision support |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/96f17cbfed494c0bb338c2a177ab9b6f |
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