Diagnostic Innovation, Population Health, and Human-Centered Systems: Advancing Health and Business Analytics
DOI:
https://doi.org/10.65166/833f2z61Keywords:
Southeast Asia, health analytics, diagnostic innovation, artificial intelligence, population health, healthcare access, environmental health, laboratory medicine, health workforce, disease preventionAbstract
Volume 2, Issue 2 of the International Journal of Health and Business Analytics brings together multidisciplinary research addressing diagnostic innovation, laboratory science, population health, healthcare access, environmental exposure, disease prevention, workforce well-being, and health-system planning. The issue includes studies on artificial intelligence preparedness in parasitological identification, plant-derived antibacterial and staining applications, biochemical and hematological characteristics among older adults, lifestyle disease risks, water and sanitation conditions, microplastics in refillable water containers, and barriers to healthcare among homeless populations. It also presents evaluations of a health-promoting lifestyle program for senior citizens, comparative analyses of professional job satisfaction, workplace well-being in Japanese-owned companies, and long-term breast cancer burden across Asia and Oceania. Collectively, the articles demonstrate that contemporary health inquiry requires integration across biomedical science, public health, environmental monitoring, behavioral analysis, workforce management, and data-informed policy. This editorial situates the contributions within the journal’s commitment to methodologically sound, socially relevant, and analytically grounded scholarship. The issue underscores the importance of translating laboratory findings, community-level evidence, workforce experiences, and population forecasts into practical improvements in healthcare delivery, prevention, professional practice, and institutional decision-making.
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Copyright (c) 2026 Leah F. Quinto, PhD (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright of their articles but grant the International Journal of Health & Business Analytics (IJHBA) the right of first publication.
