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The integration of data analytics into electronic medical health records (EHRs) enables healthcare organizations to leverage big data for population health management, quality improvement initiatives, and predictive modeling. EHR-based analytics allow for the identification of trends, patterns, and gaps in care, facilitating targeted interventions, risk stratification, and outcomes measurement. These analytics support evidence-based practices and continuous improvement in healthcare delivery. Furthermore, Electronic Medical Health Records (EHRs) contribute to improved data accuracy and accessibility, promoting evidence-based medicine and clinical decision-making. EHRs store patient data in a structured and standardized format, reducing the likelihood of transcription errors, missing information, or illegible handwriting commonly associated with paper-based records. Healthcare professionals can retrieve, analyze, and share patient information more efficiently, leading to better-informed diagnoses, treatment plans, and care interventions.

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