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Related Concept Videos

Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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...
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

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 settings,...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...

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Related Experiment Video

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A computerized e book and data base for family practice.

F Tudiver

    Canadian Family Physician Medecin De Famille Canadien
    |February 2, 2011
    PubMed
    Summary
    This summary is machine-generated.

    A new computerized E Book and database management system aids family practice by analyzing patient data for improved care and research. This system provides detailed morbidity and age-sex distribution reports to enhance learning experiences and clinical practice.

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    Area of Science:

    • Family Medicine
    • Health Informatics
    • Medical Data Analysis

    Background:

    • Family practice generates substantial patient data.
    • Effective data management is crucial for clinical insights and research.
    • Existing systems may lack comprehensive analytical capabilities for family medicine.

    Purpose of the Study:

    • To develop a computerized E Book and database management system for family practice.
    • To enable rapid analysis of patient data, including morbidity indices and age-sex distributions.
    • To support various applications within family practice, such as research and education.

    Main Methods:

    • Development of a new computerized E Book and database management system.
    • Implementation of rapid analysis functionalities.
    • Generation of detailed reports on patient demographics and health indicators.

    Main Results:

    • The system facilitates analysis of family practice content.
    • It aids in monitoring and improving resident learning experiences.
    • The system enhances patient care and stimulates family practice research.

    Conclusions:

    • The developed system offers a powerful tool for family practice data management and analysis.
    • It has the potential to significantly improve clinical practice, education, and research.
    • Future development will further expand its capabilities and applications.