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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
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Correction to: Inference of dependency knowledge graph for Electronic Health Records

    Journal of the Royal Statistical Society. Series B, Statistical Methodology
    |April 15, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study corrects a previously published article's DOI. The correction ensures accurate citation and retrieval of the research findings for the scientific community.

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    Area of Science:

    • Scientific publishing
    • Bibliometrics
    • Scholarly communication

    Background:

    • Accurate citation is crucial for scientific integrity.
    • Digital Object Identifiers (DOIs) are essential for locating research.
    • Errors in DOIs can hinder research accessibility.

    Purpose of the Study:

    • To correct an erroneous DOI in a published article.
    • To ensure the accurate retrieval of the research paper.
    • To maintain the integrity of scholarly records.

    Main Methods:

    • Identifying the incorrect DOI.
    • Verifying the correct DOI through publisher records.
    • Issuing a correction notice.

    Main Results:

    • The article DOI has been successfully corrected.
    • The corrected DOI now accurately links to the intended publication.
    • This ensures proper attribution and access to the research.

    Conclusions:

    • Accurate metadata is vital for scientific literature.
    • Correction notices are important for maintaining scholarly record accuracy.
    • This ensures the continued discoverability and usability of research.