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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.
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Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
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Formats for Nursing Documentation01:28

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Purpose of Health Records I01:11

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The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
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Assessment of the Mouth01:26

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A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Natural language processing for clinical notes in dentistry: A systematic review.

Farhana Pethani1, Adam G Dunn1

  • 1Biomedical Informatics and Digital Health, Faculty of Medicine and Health, the University of Sydney, Sydney, Australia.

Journal of Biomedical Informatics
|January 9, 2023
PubMed
Summary

Natural Language Processing (NLP) applications in dentistry are emerging but lack standardized reporting. Improved methods and reporting are needed to utilize dental clinical notes for population health and decision support.

Keywords:
Dental informaticsDental recordsDentistryInformation sciencesNatural language processing

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Area of Science:

  • Dental Informatics
  • Computational Linguistics
  • Health Informatics

Background:

  • Natural Language Processing (NLP) offers potential for extracting valuable information from unstructured clinical notes.
  • Dental records contain rich data that could inform population health and clinical decision-making.
  • A systematic review is needed to understand the current state of NLP applications in dentistry.

Purpose of the Study:

  • To identify and synthesize research on the applications of Natural Language Processing (NLP) for information extraction and retrieval from clinical notes in dentistry.
  • To evaluate the quality and reporting standards of existing NLP studies in dental informatics.

Main Methods:

  • A systematic literature search was conducted across EMBASE, CINAHL, and Medline.
  • Studies describing, evaluating, or applying NLP to dental clinical notes were included.
  • Study quality and reporting were assessed using adapted critical appraisal tools, followed by narrative synthesis.

Main Results:

  • Seventeen studies published between 2015 and 2021 were included, focusing on NLP method development or application in dental records.
  • Most studies exhibited significant heterogeneity in design and reporting, lacking details for reproducibility.
  • NLP methods primarily involved document classification and entity extraction, with few direct comparisons to non-NLP approaches.

Conclusions:

  • Heterogeneity and incomplete reporting in current NLP research limit the synthesis of findings for dental records.
  • Standardized reporting and better integration of NLP methods with dental applications are crucial for leveraging clinical notes.
  • Improved NLP utilization can enhance population health initiatives and clinical decision support systems in dentistry.