Recent publications and ongoing work
Robin Austin
Dear Colleagues,
I’m pleased to share several recent publications from our team that reflect our ongoing work in standardized nursing terminology and whole-person health data.
Thank you for your continued collaboration and support—this work is truly collective. Please feel free to reach out if you have questions or would like to connect on any of these topics.
Stay tuned—more announcements and exciting work ahead.
Warm regards,
Robin
Austin, R.R., Jantraporn, R., Michalowski, M., Marquard, J., (2024). Machine Learning Techniques to Discover Hidden Patterns in Well-being and Resilience for Healthy Aging. Journal of Nursing Scholarship. DOI: 10.1111/jnu.13025
Beneath the surface of aging are patterns we’ve never fully seen—this study uses machine learning to uncover them. The findings open new possibilities for identifying resilience and tailoring interventions that support healthier, more personalized aging trajectories.
Gonçalves, L. S., Bernardino, E., Picanço, G. S., Dipp, H. M., da Silva, C. S., & Austin, R. (2024). MyStrengths MyHealth Brasil: uma pesquisa metodológica. Journal of Health Informatics, 16(Especial).
DOI: https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1345
Can whole-person health data scale globally? This study shows how MyStrengths MyHealth was successfully adapted in Brazil, demonstrating that culturally grounded, patient-reported data systems can extend across borders to strengthen global health and person-centered care. This is the first 1st publication from Brazil!!!
Austin, R.R., Alexander, S., Tupper, S., Holt, J.M. (2025). Toward Solving the Menopause Data Gap: An Evidence-Based Standardized Mapping Study Using the Omaha System. CIN: Computers, Informatics, Nursing. https://doi.org/10.1097/CIN.0000000000001289
If we don’t measure menopause, we can’t improve it—this study offers one of the first concrete, scalable solutions to close that gap. By standardizing menopause data using the Omaha System, it lays the foundation for more accurate research, better clinical care, and AI that actually represents midlife women.
Jaffer, S., Austin, R.R., Kirsch, J.,. (2025). Exploring a Whole-person Health Approach to Migrant Health in Rural Minnesota: A Pilot Project. Frontiers Public Health. https://doi.org/10.3389/fpubh.2025.1518686
What if public health truly captured the full complexity of people’s lives? This pilot shows how a whole-person approach reveals critical, often-missed insights in migrant health—offering a more equitable and actionable path forward for rural and underserved communities.
Yas, M. A., Austin, R. R., Secginli, S., & Rajamani, S. (2026). Older Women’s Acceptability of a Consumer-facing Mobile Application to Assess Whole-person Health in the United States and Türkey: A Qualitative Study. CIN: Computers, Informatics, Nursing, 10-1097.DOI:https://doi.org/10.1097/cin.0000000000001526
Digital health tools often miss the mark—this study asks women directly what works and what doesn’t. By capturing perspectives across cultures, it offers critical insight into how to design truly usable, meaningful technologies for whole-person health.
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