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This paper is in the following e-collection/theme issue:

Patient-Centred Outcomes Research (53) Public (e)Health, Digital Epidemiology and Public Health Informatics (2366) New Methods (1855) Visualization in eHealth (103) Midwifery, Nurse-midwifery and Care for Pregnant or New Mothers (106) Systemic Racism and Racial Bias in Health Care and Society (160) Big Data for Health Promotion and Health Equity (77)

Published on in Vol 18 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82944, first published .
Close-up of a mother's hands gently cradling a newborn baby's tiny feet.

Visualizing the Maternal Health Journey for Learning Health Systems: Mixed Methods Combined Experience Approach

Visualizing the Maternal Health Journey for Learning Health Systems: Mixed Methods Combined Experience Approach

Authors of this article:

Amanda L Joseph1, 2, 3 Author Orcid Image ;   Bilikis Oladimeji4 Author Orcid Image ;   Helen Monkman1 Author Orcid Image ;   Simon R Minshall1 Author Orcid Image ;   Melissa C Tan5, 6 Author Orcid Image ;   Yuri Quintana1, 7, 8, 9 Author Orcid Image
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Journals

  1. Quintana Y, Schleyer T, Benis A, Fraser H, Joseph A, Holl F, Campbell E. Sustainable artificial intelligence in global health: balancing promise, equity, and environmental realities in low- and middle-income countries. Journal of the American Medical Informatics Association 2026;33(10):2061 View