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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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Nursing Clinical Information System (NCIS)
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Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
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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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Capillary electrophoretic separations offer various modes, each with unique applications. These modes include capillary zone electrophoresis, capillary gel electrophoresis, capillary array electrophoresis, capillary isoelectric focusing, capillary isotachophoresis, micellar electrokinetic chromatography, and capillary electrochromatography.
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Related Experiment Video

Updated: Jul 19, 2025

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation
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Selecting an Electronic Data Capture System.

Cameron B Alavi1, John D Massman1

  • 1Virginia Mason Medical Center, Seattle, Washington.

Urology Practice
|August 18, 2023
PubMed
Summary
This summary is machine-generated.

Selecting an electronic data capture system involves balancing regulatory compliance and budget. Careful analysis of available software solutions ensures the best fit for research data management needs.

Keywords:
data base management systemsdatasets as topichealth information managementmedical informaticsurology

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Area of Science:

  • Biomedical research
  • Health informatics
  • Clinical research management

Background:

  • Selecting an electronic data capture (EDC) system presents significant challenges for researchers.
  • EDC systems range from basic spreadsheets to complex relational databases requiring expert administration.

Purpose of the Study:

  • To provide an overview of considerations for choosing an EDC system.
  • To survey available EDC software solutions for research projects.
  • To guide investigators in selecting an EDC system aligned with study data management requirements.

Main Methods:

  • Comparison of EDC software based on regulatory factors (HIPAA, case report forms, adverse event reporting).
  • Evaluation of budgetary factors including technology costs, usability, and personnel expertise.
  • Analysis of different EDC system types: spreadsheets, relational databases, server-based solutions, SaaS, and cloud-based systems.

Main Results:

  • Spreadsheets are intuitive but need careful regulatory attention; large databases are robust but costly.
  • Server-based solutions offer a balance of cost and ease of management.
  • Software as a Service (SaaS) provides scalable third-party options, while cloud systems are emerging.

Conclusions:

  • Informed selection of an EDC system is crucial due to the significant resources required for implementation.
  • Understanding the spectrum of available EDC solutions facilitates optimal data management choices for research studies.