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Linking household members and defining relational networks using routine health data
Jeffrey I Campbell1, Ana Poblacion, Richard Sheward
1Department of Pediatrics, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Current Opinion in Pediatrics
|November 7, 2024
Summary
Linked relational networks derived from electronic health records offer family-centered care and research insights. However, understanding their limitations and biases is crucial for effective application in healthcare and epidemiology.
Area of Science:
- Health Informatics
- Epidemiology
- Genetics
Background:
- Electronic health records (EHR) and large health databases enable the creation of linked relational networks.
- These networks connect individuals into households and family structures, offering potential for family-level care and intergenerational studies.
- Linked relational networks are increasingly available in EHRs and research databases, necessitating an understanding of their challenges.
Purpose of the Study:
- To review the opportunities and challenges associated with linked relational networks in healthcare and research.
- To highlight the clinical and research applications of these networks.
- To identify limitations and research gaps in the use of matching algorithms for network creation.
Main Methods:
- Review of matching algorithms used to create linked relational networks in EHR and health databases.
- Analysis of clinical and research applications, including maternal-newborn care, pharmacoepidemiology, and heritability studies.
- Identification of ethical, technical, and validity challenges associated with these algorithms.
Main Results:
- Matching algorithms are actively used to construct linked relational networks.
- Clinical applications include dyadic maternal-newborn care.
- Research applications span pharmacoepidemiology, heritability of chronic conditions, and healthcare access studies.
- Ethical and technical challenges, along with a gap in external validity, limit the current use of these algorithms.
Conclusions:
- Linked relational networks are widely utilized in pediatric clinical care and research.
- Further research is essential to fully understand the scope, limitations, and inherent biases of current matching strategies.
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