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Related Concept Videos

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

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The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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Classification of Illness01:17

Classification of Illness

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
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Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

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Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
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Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

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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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Role of Communication in the Nursing Process I: Assessment and Diagnosis01:25

Role of Communication in the Nursing Process I: Assessment and Diagnosis

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The nursing process uses scientific reasoning, problem-solving, and critical thinking to guide nurses in providing patients with appropriate care. This process is a systematic approach to recognize, avoid, and treat current or potential health issues while promoting the patient's well-being.
The nursing process considers the patient's emotional and physical well-being. The process can be repeated or stopped at any point if judged essential. Assessment is the first step in the nursing...
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Diagnosis Classification in the Emergency Room Using Natural Language Processing.

Marieke M van Buchem1, Hanna H 't Hart1,2, Pablo J Mosteiro2

  • 1Leiden University Medical Center, Leiden, The Netherlands.

Studies in Health Technology and Informatics
|May 19, 2023
PubMed
Summary
This summary is machine-generated.

Emergency room diagnosis classification is complex. Natural language processing models were developed to classify 132 diagnostic categories and distinguish between similar diagnoses.

Keywords:
Natural language processingdiagnosis classificationemergency medicine

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Area of Science:

  • Medical Informatics
  • Natural Language Processing
  • Clinical Decision Support

Background:

  • Emergency room (ER) diagnosis classification presents significant complexity.
  • Accurate and timely diagnosis is crucial for effective patient care.

Purpose of the Study:

  • To develop and evaluate natural language processing (NLP) models for ER diagnosis classification.
  • To address the challenge of distinguishing between clinically similar diagnostic categories.

Main Methods:

  • Implementation of multiple NLP classification models.
  • Evaluation on a comprehensive set of 132 diagnostic categories.
  • Focused analysis on clinically relevant pairs of difficult-to-distinguish diagnoses.

Main Results:

  • Development of NLP models capable of classifying ER diagnoses.
  • Demonstrated ability to differentiate between closely related diagnostic categories.
  • Models show potential for application in complex ER settings.

Conclusions:

  • NLP models offer a promising approach to enhance ER diagnosis classification.
  • The developed models can aid clinicians in differentiating challenging diagnoses.
  • Further research can refine NLP applications for improved ER workflows.