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Related Concept Videos

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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Data Collection by Experiments01:13

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Study Design in Statistics01:15

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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
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Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
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Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Clinical Data Abstraction: A Research Study.

Valerie J M Watzlaf, Patty T Sheridan, Amal A Alzu'bi

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    Summary

    Most healthcare organizations manage clinical data abstraction in-house using decentralized systems. Coders, nurses, and health information management (HIM) professionals are top abstractors, with two distinct enterprise-wide models identified.

    Keywords:
    Abstractionclinicaldescriptive research studyelectronic health recordmodelsnatural language processingquery

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    Area of Science:

    • Health Informatics
    • Healthcare Management
    • Medical Record Analysis

    Background:

    • Clinical data abstraction is crucial for capturing essential medical record information.
    • Understanding the organization and management of abstraction functions is currently limited.
    • This study addresses the gap in knowledge regarding current abstraction practices.

    Purpose of the Study:

    • To investigate how clinical data abstraction functions are organized and managed within healthcare organizations.
    • To identify common practices and emerging models in clinical data abstraction.
    • To analyze the roles and qualifications of personnel involved in data abstraction.

    Main Methods:

    • A nationwide research study was conducted to gather data on abstraction management.
    • Survey data from healthcare organizations were analyzed to identify trends.
    • Analysis focused on organizational structure, abstraction processes, and personnel involved.

    Main Results:

    • The majority of surveyed organizations utilize decentralized systems for data abstraction.
    • Abstraction is often performed in-house, integrated with the coding workflow.
    • Manual abstraction supplemented by natural language processing (NLP) and simple queries is common.
    • Coders, nurses, and HIM professionals are the primary abstractors.
    • Two enterprise-wide abstraction models were identified: one led by HIM, the other by Quality departments.

    Conclusions:

    • Healthcare organizations predominantly manage clinical data abstraction through decentralized, in-house processes.
    • Distinct models for enterprise-wide abstraction management are emerging, led by either HIM or Quality departments.
    • Standardization of qualifications and training for abstractors may be beneficial.