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Related Concept Videos

Data Collection by Survey01:07

Data Collection by Survey

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection I01:30

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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 III01:05

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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Data Collection II01:29

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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...
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Development of user-friendly and interactive data collection system for cerebral palsy.

I Raharjo1, T G Burns2, J Venugopalan1

  • 1Wallace H. Coulter department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332.

... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics
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Summary

A new database with a graphical user interface (GUI) improves data collection for cerebral palsy (CP) research. This system enhances data extraction and analysis, overcoming limitations of general electronic health records.

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Area of Science:

  • Neurology
  • Biomedical Informatics
  • Clinical Research

Background:

  • Cerebral palsy (CP) is a permanent early-onset motor disorder requiring extensive patient assessment.
  • Existing electronic health record systems (e.g., EPIC) are ill-suited for CP research, presenting navigation difficulties and data extraction challenges.
  • Limited data analysis capabilities hinder research progress using current general medical record systems.

Purpose of the Study:

  • To design and prototype a specialized database with a graphical user interface (GUI) tailored for cerebral palsy (CP) clinical research.
  • To address the limitations of general electronic health record systems in data collection and analysis for CP.

Main Methods:

  • Development of a database platform utilizing MySQL and a Java framework.
  • Integration of a user-friendly graphical user interface (GUI) for streamlined data input and management.
  • Ensuring the platform's reliability, security, and compatibility with data analysis tools like MATLAB.

Main Results:

  • A functional prototype of a CP-specific database with an integrated GUI was successfully created.
  • The system demonstrates enhanced data collection capabilities compared to general electronic health records.
  • The database is designed for secure data management and facilitates easier data extraction for analysis.

Conclusions:

  • The developed database with GUI is a promising tool for improving clinical research data collection in cerebral palsy.
  • The platform's design offers potential applicability beyond CP, adaptable to various research fields requiring efficient data management.
  • This specialized system can significantly enhance the ability to infer valuable insights from large datasets.