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Related Concept Videos

Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

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Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
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Data Collection I01:30

Data Collection I

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Purpose of Health Records II01:19

Purpose of Health Records II

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Health records serve various essential purposes in the healthcare system. Here are some key purposes:
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Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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Related Experiment Video

Updated: Mar 25, 2026

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
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[Source data management in clinical researches].

Effie Ho, Chen Yao, Zi-bao Zhang

    Yao Xue Xue Bao = Acta Pharmaceutica Sinica
    |February 26, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Effective source data management is crucial for clinical research compliance. This guide details concepts, principles, and best practices for managing both paper and electronic source data, ensuring integrity and traceability.

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    Area of Science:

    • Clinical Research
    • Data Management
    • Regulatory Compliance

    Background:

    • Source data is fundamental to clinical research.
    • Effective source data management is essential for regulatory compliance and Good Clinical Practice (GCP).
    • Both paper and electronic source data are utilized in China, with electronic data becoming a significant trend.

    Purpose of the Study:

    • To outline key concepts, principles, and best practices for managing source data.
    • To ensure data integrity, quality, and traceability from creation to regulatory submission.
    • To address the evolving landscape of electronic data sources in clinical research.

    Main Methods:

    • Defining core concepts: source data originator, elements, and audit trail identifiers.
    • Exploring diverse data collection methods: paper Case Report Forms (CRF), Electronic Data Capture (EDC), and electronic Patient Reported Outcomes (ePRO)/electronic Clinical Outcome Assessments (eCOA).
    • Recommending seven key principles for data management: collection, traceability, quality standards, access control, quality control, certified copy, and security.

    Main Results:

    • Provides a comprehensive overview of source data management considerations.
    • Illustrates the source data lifecycle from creation to obsolescence.
    • Highlights the importance of adapting to electronic data sources while maintaining data integrity.

    Conclusions:

    • Robust source data management is vital for successful clinical research and regulatory submissions.
    • Adopting best practices ensures data quality, integrity, and traceability in both paper and electronic formats.
    • The transition towards electronic data sources necessitates updated management strategies to leverage advantages and mitigate risks.