Extending cBioPortal for Therapy Recommendation Documentation in Molecular Tumor Boards: Development and Usability Study.
cBioPortal
cancer
development
documentation platform
genomics
health information interoperability
implementation
molecular tumor board
platform
precision
precision medicine
tool
tumor
usability evaluation
use
user-centered
Journal
JMIR medical informatics
ISSN: 2291-9694
Titre abrégé: JMIR Med Inform
Pays: Canada
ID NLM: 101645109
Informations de publication
Date de publication:
11 Dec 2023
11 Dec 2023
Historique:
received:
16
06
2023
accepted:
17
09
2023
revised:
02
09
2023
medline:
11
12
2023
pubmed:
11
12
2023
entrez:
11
12
2023
Statut:
epublish
Résumé
In molecular tumor boards (MTBs), patients with rare or advanced cancers are discussed by a multidisciplinary team of health care professionals. Software support for MTBs is lacking; in particular, tools for preparing and documenting MTB therapy recommendations need to be developed. We aimed to implement an extension to cBioPortal to provide a tool for the documentation of therapy recommendations from MTB sessions in a secure and standardized manner. The developed extension should be embedded in the patient view of cBioPortal to enable easy documentation during MTB sessions. The resulting architecture for storing therapy recommendations should be integrable into various hospital information systems. On the basis of a requirements analysis and technology analysis for authentication techniques, a prototype was developed and iteratively refined through a user-centered development process. In conclusion, the tool was evaluated via a usability evaluation, including interviews, structured questionnaires, and the System Usability Scale. The patient view of cBioPortal was extended with a new tab that enables users to document MTB sessions and therapy recommendations. The role-based access control was expanded to allow for a finer distinction among the rights to view, edit, and delete data. The usability evaluation showed overall good usability and a System Usability Scale score of 83.57. This study demonstrates how cBioPortal can be extended to not only visualize MTB patient data but also be used as a documentation platform for therapy recommendations.
Sections du résumé
BACKGROUND
BACKGROUND
In molecular tumor boards (MTBs), patients with rare or advanced cancers are discussed by a multidisciplinary team of health care professionals. Software support for MTBs is lacking; in particular, tools for preparing and documenting MTB therapy recommendations need to be developed.
OBJECTIVE
OBJECTIVE
We aimed to implement an extension to cBioPortal to provide a tool for the documentation of therapy recommendations from MTB sessions in a secure and standardized manner. The developed extension should be embedded in the patient view of cBioPortal to enable easy documentation during MTB sessions. The resulting architecture for storing therapy recommendations should be integrable into various hospital information systems.
METHODS
METHODS
On the basis of a requirements analysis and technology analysis for authentication techniques, a prototype was developed and iteratively refined through a user-centered development process. In conclusion, the tool was evaluated via a usability evaluation, including interviews, structured questionnaires, and the System Usability Scale.
RESULTS
RESULTS
The patient view of cBioPortal was extended with a new tab that enables users to document MTB sessions and therapy recommendations. The role-based access control was expanded to allow for a finer distinction among the rights to view, edit, and delete data. The usability evaluation showed overall good usability and a System Usability Scale score of 83.57.
CONCLUSIONS
CONCLUSIONS
This study demonstrates how cBioPortal can be extended to not only visualize MTB patient data but also be used as a documentation platform for therapy recommendations.
Identifiants
pubmed: 38079196
pii: v11i1e50017
doi: 10.2196/50017
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e50017Informations de copyright
©Christopher Renner, Niklas Reimer, Jan Christoph, Hauke Busch, Patrick Metzger, Melanie Boerries, Arsenij Ustjanzew, Dominik Boehm, Philipp Unberath. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 11.12.2023.