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Related Concept Videos

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
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Updated: Feb 15, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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Barriers for Hospital-Based Nurse Practitioners Utilizing Clinical Decision Support Systems: A Systematic Review.

Cindy Borum1

  • 1Author Affiliation: HCA Healthcare, Clinical Services Group, Kingston Springs, TN.

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Nurse practitioners face challenges using clinical decision support systems in hospitals. The most common barrier is accessing accurate, up-to-date information, hindering safe patient care.

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Area of Science:

  • Healthcare Informatics
  • Nursing Practice
  • Health Technology Adoption

Background:

  • National initiatives promote healthcare technology to enhance patient care safety and efficiency.
  • Nurse practitioners (NPs) play a vital role in hospital settings.
  • Clinical decision support (CDS) systems are increasingly integrated into hospital technology.

Purpose of the Study:

  • To identify barriers faced by nurse practitioners when utilizing clinical decision support systems in hospitals.
  • To inform strategies for improving CDS adoption and effectiveness.

Main Methods:

  • A comprehensive literature review was conducted.
  • Nine studies published between 2011 and 2017 were analyzed.
  • Barriers to NP utilization of CDS in hospitals were systematically identified.

Main Results:

  • Thirteen distinct barriers were identified for nurse practitioners using CDS in hospitals.
  • The most frequently cited barrier was the lack of readily available, accurate, and current information (e.g., evidence-based guidelines, clinical pathways, algorithms).

Conclusions:

  • Ensuring access to reliable information is critical for effective CDS utilization by NPs.
  • Addressing these barriers is essential for informaticists and NPs to optimize CDS acceptance and achieve goals of safe, high-quality patient care.