Reintegrating the Human in Health
A Triadic Blueprint for Whole-Person Care in the Age of AI
Bibliographic Data
| ID | 15500218 |
|---|---|
| Authors | Azizi Seixas (0000-0003-0843-2679, University of Miami, corresponding author), Debbie Chung, Debbie P Chung (0009-0005-4895-1336, Department of Informatics and Health Data Science, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL 33136, USA) |
| Year | 2026 |
| Volume | 23 |
| Issue | 4 |
| Pages | 426-426 |
| Publication date | 2026-03-29 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph23040426 |
| OpenAlex | W7143282010 |
| Language | EN |
| References cited | 41 |
Modern healthcare remains structurally and conceptually fragmented, with profound clinical and policy implications. At its root lies an ontological fracture: the prevailing biomedical model reduces patients to discrete biological systems (organs, biomarkers, and symptoms) detached from the psychological, social, and ecological contexts in which health and illness are experienced. This is compounded by epistemological fragmentation, where medical knowledge is compartmentalized into increasingly narrow specialties, limiting holistic understanding. These philosophical divisions manifest in downstream operational, informational, financial, and policy dysfunctions duplicative testing, misaligned incentives, disconnected care pathways, and population health failures. To address these multilevel fractures, we propose a unified architecture grounded in three interlocking components. First, the Precision and Personalized Population Health (P3H) framework offers a principle-based realignment toward care that is integrated, personalized, proactive, and population wide. P3H addresses the conceptual shortcomings of fragmented care by focusing on the full human trajectory across time, systems, and determinants. Second, General Purpose Technologies including artificial intelligence, biosensors, mobile diagnostics, and multimodal data systems enable the operationalization of whole-person care at scale, especially in low-resource settings. Third, the AI-WHOLE policy framework (Alignment, Integration, Workflow, Holism, Outcomes, Learning, and Equity) provides governance principles to guide ethical, equitable, and context-specific implementation. We argue that this triadic blueprint is particularly critical for Global South nations, where the lack of legacy infrastructure offers an opportunity for leapfrogging toward integrated, intelligent systems of care. Early models illustrate how policy-aligned, technology-enabled care rooted in whole-person principles can yield improvements in continuity, cost-efficiency, and chronic disease outcomes. This manuscript offers a systems-level strategy to overcome fragmentation and reimagine healthcare delivery, not only by refining clinical tools, but by redefining what it means to care for the human being in full
Blueprint · Conceptual framework · Corporate governance · Health care · Leapfrogging · Operationalization · Population · Population health · Artificial Intelligence in Healthcare and Education · Global Health and Surgery · Health, Environment, Cognitive Aging
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| Highly cited | No |
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