Advancing the science of visualization of health data for lay audiences
J Am Med Inform Assoc
.
2024 Jan 18;31(2):283-288.
doi: 10.1093/jamia/ocad255.
Authors
Adriana Arcia
1
,
Natalie C Benda
2
,
Danny T Y Wu
3
Affiliations
1
Hahn School of Nursing and Health Science, University of San Diego, San Diego, CA 92110, United States.
2
School of Nursing, Columbia University, New York, NY 10032, United States.
3
Department of Biomedical Informatics, University of Cincinnati, College of Medicine, Cincinnati, OH 45229, United States.
PMID:
38238784
PMCID:
PMC10796313
(available on
2025-01-18
)
DOI:
10.1093/jamia/ocad255
No abstract available
Publication types
Research Support, N.I.H., Extramural
Editorial
Research Support, Non-U.S. Gov't
Comment
MeSH terms
Communication*
Information Dissemination*
Grants and funding
R00 MD015781/MD/NIMHD NIH HHS/United States
NH/NIH HHS/United States
R00MD015781/MD/NIMHD NIH HHS/United States