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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:
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
Expressing Solution Concentration02:48

Expressing Solution Concentration

A solute is a component of a solution that is typically present at a much lower concentration than the solvent. Solute concentrations are often described with qualitative terms such as dilute (of relatively low concentration) and concentrated (of relatively high concentration).
Concentrations may be quantitatively assessed using a wide variety of measurement units, each convenient for particular applications. Molarity (M) is a useful concentration unit for many applications in chemistry.
Nurses' Legal Responsibilities II01:23

Nurses' Legal Responsibilities II

Establishing a secure, collaborative nurse-patient relationship is crucial for delivering high-quality care. This relationship, founded on trust, respect, and honesty, enhances the patient's comfort and willingness to share vital health information. For example, a nurse who listens actively and without judgment provides clear information about health conditions and treatment options and respects patient decisions, which builds a trusting relationship.
Communication between nurses and patients...
Standards of Care II01:19

Standards of Care II

Nurses bear specific legal responsibilities under several federal statutes, including:
Nurses' Legal Responsibilities III01:16

Nurses' Legal Responsibilities III

Nurse-to-nurse relationships are legally required to adhere to professional standards, ensuring a respectful and positive working environment. Professional conduct demands that nurses treat all colleagues respectfully and courteously, fostering a productive, supportive workplace. Nurses must actively eliminate bullying, discrimination, and harassment to maintain a safe and inclusive environment.
Cultivating a culture of collaboration and mutual respect among nurses transcends mere enhancement...

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Related Experiment Video

Updated: May 17, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

A rule based solution to co-reference resolution in clinical text.

Ping Chen1, David Hinote, Guoqing Chen

  • 1Department of Computer and Mathematical Sciences, University of Houston-Downtown, Houston, Texas, USA.

Journal of the American Medical Informatics Association : JAMIA
|October 13, 2012
PubMed
Summary
This summary is machine-generated.

A rule-based system effectively resolves co-references in biomedical texts, achieving 89.6% performance. Manually crafted rules demonstrate a valid approach for high-performance co-reference resolution in medical documents.

Keywords:
Co-reference ResolutionComputational LinguisticsNatural Language ProcessingRule-based system

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Related Experiment Videos

Last Updated: May 17, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

  • Natural Language Processing
  • Biomedical Informatics

Background:

  • Co-reference resolution is crucial for understanding medical documents.
  • Existing systems have limitations in the biomedical domain.

Purpose of the Study:

  • To develop an effective co-reference resolution system for biomedical text.
  • To evaluate a rule-based approach for this task.

Main Methods:

  • Utilized data from the 2011 i2b2 Natural Language Processing Challenge.
  • Developed a rule-based system for co-reference resolution.
  • Trained and tested the system on annotated clinical texts.

Main Results:

  • The rule-based system achieved 89.6% overall performance.
  • The system successfully identified a majority of co-referent links.
  • Outperformed existing co-reference resolution systems.

Conclusions:

  • Manually crafted rules are effective for high-performance co-reference resolution in the biomedical domain.
  • Observation of training data is key to developing successful rules.