Obstetric decision-support system: An informational model for maternal autonomy towards the Agenda 2030 health goals
DOI:
https://doi.org/10.47909/978-9916-9331-4-5.53Keywords:
information systems, evidence-based care, health humanization, UML modeling, obstetric decisionAbstract
This study proposed an obstetric decision-support system with the objective of strengthening maternal autonomy and advancing the health objectives of Agenda 2030, with a particular focus on Sustainable Development Goal 3. The research employed a qualitative, applied, and exploratory approach, integrating digital health, evidence-based care, and epistemological perspectives to formulate a structured environment tailored to pregnant women. The objective of this study was to address critical informational asymmetries in obstetric care through a digitally enabled, evidence-based model that empowered pregnant individuals in clinical decision-making. The methodological approach entailed a comprehensive review of the extant literature, requirement engineering, and the application of Unified Modeling Language diagrams to formalize system functionalities. The results of the study included a multilayer informational infrastructure comprising a dynamic layer for adaptive learning via algorithmic curation of scientific evidence and lived experiences, enabling personalized recommendations, and a static layer for birth planning and scenario simulation, integrating validated guidelines to reduce uncertainty. The integration of scientific evidence with user experiences facilitated the translation of World Health Organization guidelines into comprehensible and implementable information, thereby reducing informational asymmetries and enhancing the gestational decision-making process. The architecture prioritized intelligibility, traceability, and user-centric navigation, ensuring alignment with maternal profiles and preferences. The findings suggested that the formal modeling process facilitated the conversion of normative content into a computable and auditable structure, thereby promoting autonomy without compromising clinical safety. The study’s findings indicated that a digitally mediated informational base, conceptualized at the nexus of health, information, and technology, served as a pivotal infrastructure for ensuring dignified, equitable, and humanized obstetric care. This contributed structurally to high-quality health systems by bridging evidence–practice gaps.
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