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Related Concept Videos

Framing Effects03:26

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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
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Aggression01:47

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Humans engage in aggression when they seek to cause harm or pain to another person. Aggression takes two forms depending on one’s motives: hostile or instrumental. Hostile aggression is motivated by feelings of anger with intent to cause pain; a fight in a bar with a stranger is an example of hostile aggression. In contrast, instrumental aggression is motivated by achieving a goal and does not necessarily involve intent to cause pain (Berkowitz, 1993); a contract killer who murders for...
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SBAR I: Understanding the Concept01:29

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Effective communication among healthcare professionals during hand-off reporting is essential to delivering safe and continuous patient care. Common professional interactions include reports to healthcare team members, hand-off, and transfer reports. Nurses routinely report information to other healthcare team members and also urgently contact healthcare providers to report changes in patient status.
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Related Experiment Video

Updated: May 10, 2025

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
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Engaging Stakeholders With Professional or Lived Experience to Improve Firearm Violence Lexicon Development.

Nicole Cook1, Frances M Biel1, Kerry Ann Bet1

  • 1OCHIN, PO Box 5426, Portland, OR, 97228, United States, 1 9546126511.

JMIR Formative Research
|April 21, 2025
PubMed
Summary

Understanding the public health impact of firearm violence requires including those with indirect exposure. Electronic health record notes, analyzed using natural language processing (NLP), can capture this exposure data. Engaging diverse stakeholders is key to effective NLP lexicon development for firearm violence research.

Keywords:
electronic health recordfirearm injuryfirearm violencenatural language processingstakeholder engagement

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Area of Science:

  • Public Health
  • Health Informatics
  • Computational Linguistics

Background:

  • Public health research on firearm violence often overlooks individuals with secondary exposure, limiting comprehensive burden assessment.
  • Electronic health records (EHRs) contain valuable clinical notes that could capture data on firearm violence exposure.
  • Natural language processing (NLP) offers a method to extract meaningful information from unstructured EHR clinical notes.

Purpose of the Study:

  • To explore the potential of EHR clinical notes and NLP for identifying individuals with secondary exposure to firearm violence.
  • To develop and refine NLP lexicons for firearm violence by engaging diverse stakeholders.

Main Methods:

  • Engaged diverse stakeholders, including community members and healthcare professionals, to identify relevant keywords for NLP lexicon development.
  • Utilized natural language processing techniques to analyze EHR clinical notes for indicators of firearm violence exposure.
  • Iteratively developed and validated NLP lexicons based on stakeholder input.

Main Results:

  • Diverse stakeholder engagement significantly enhanced the quality and relevance of keywords for NLP lexicon development.
  • Findings indicate that EHR clinical notes are a viable data source for identifying secondary firearm violence exposure.
  • Stakeholder input proved crucial for improving the accuracy of NLP models in recognizing firearm violence contexts.

Conclusions:

  • Leveraging EHR clinical notes with NLP, informed by diverse stakeholder input, can improve the measurement of the public health burden of firearm violence.
  • Future research should focus on validating NLP-derived data for secondary firearm violence exposure and its public health implications.
  • Collaborative approaches in NLP development are essential for capturing nuanced public health issues from clinical data.