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Modern healthcare systems increasingly rely on standardized data to provide high-quality maternal services. Implementing FHIR interoperability in prenatal care allows multidisciplinary teams to share clinical information seamlessly. This study utilized a Design Science Research (DSR) approach to develop a robust information model. This model addresses the specific needs of primary health care by integrating diverse health concepts into a unified structure. Because digital health is evolving rapidly, doctors must adopt systems that facilitate clear communication across different specialties.
The research emphasizes the creation of an information model mapped to the HL7 FHIR R4 standard. Consequently, health professionals can now access a holistic view of the patient’s pregnancy journey. Furthermore, the researchers utilized user stories from primary care settings to ensure the model reflects real-world clinical requirements. By categorizing concepts into semantic pillars, the system supports a more personalized approach to prenatal monitoring. This structural maturity ensures that the right data reaches the right provider at the right time.
Moreover, the model adheres to ISO 13972:2022 standards for clinical information models. This ensures that the structural requirements for health informatics meet the needs of diverse care settings. Effective data sharing bridges the gap between different health professionals who work in complementary roles. Therefore, the implementation of such interoperable systems is a significant step toward digital health maturity in primary care. As more practitioners adopt these standards, the risk of fragmented care decreases significantly.
FHIR (Fast Healthcare Interoperability Resources) provides a standardized framework for data exchange. It enables real-time access to patient records, reduces documentation errors, and allows different electronic health record systems to \"speak the same language.\" This is particularly crucial for coordinated maternity care involving multiple specialists.
The model organizes pregnancy monitoring data into logical pillars that multidisciplinary teams can easily navigate. This structure ensures that doctors, nurses, and midwives have consistent information. Thus, it facilitates better clinical decision-making and leads to highly personalized patient care.
Disclaimer: This content is for informational and educational purposes only. It does not constitute medical advice or a substitute for professional healthcare. Always seek the advice of your physician or other qualified health provider with any questions regarding a medical condition. Refer to the latest local and national guidelines for clinical practice.
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Research highlights a new FHIR-based information model for prenatal monitoring, promoting seamless data exchange and higher quality maternal care in primary...
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