Modernizing Data Systems in Environmental Public Health: A Blueprint for Action
LOINC (Logical Observation Identifiers Names and Codes) is a universal stan - dard for identifying health measurements, observations, and documents. It is primarily used to code laboratory tests and clinical observations. ISO (International Organization for Standardization) provides international - ly recognized frameworks to ensure quality, consistency, and interoperability across various domains. In environmental health, ISO standards are commonly used for: • Environmental management (e.g., ISO 14001): To help organizations man- age their environmental responsibilities systematically. • GIS (e.g., ISO 19115): To standardize how spatial data are collected, stored, and shared. • Metadata (e.g., ISO 19115, ISO 19139): To ensure that descriptive infor- mation about datasets is structured and interoperable across systems. Visualization and Communication The ability to effectively communicate complex data is just as important as an - alyzing it. Visualization tools, ranging from charts and dashboards to GIS maps and infographics, help bring data to life, revealing patterns, trends, and priorities that might otherwise go unnoticed. Proficiency in the following areas is valuable for EPH professionals: Creation of intuitive visualizations using clear charts, tables, graphs, and info - graphics that highlight key messages. Development of GIS maps to visualize spatial relationships, risk concentrations, and service gaps. Design of dashboards that support real-time monitoring and communicate pro- gram performance to interested parties and partners. Translation of complex findings into actionable insights that resonate with non - technical audiences, including agency leaders, policymakers, and community members.
Strong communication through data visualization helps drive action, inform pol - icy, and secure buy-in from leadership and community members.
Improved data literacy and foundational skills equip EPH professionals to navi - gate modern systems, interpret complex datasets, and use data as tools for pre - vention, engagement, and impact. These competencies are not optional in the era of modernization and are essential for building healthier, more informed, and more resilient communities.
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