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Related Experiment Video

Updated: Jul 4, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Bolstering Advance Care Planning Measurement Using Natural Language Processing.

Sophia N Zupanc1,2, Brigitte N Durieux1, Anne M Walling3,4

  • 1Department of Psychosocial Oncology and Palliative Care, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.

Journal of Palliative Medicine
|February 7, 2024
PubMed
Summary

Natural language processing (NLP) offers a technological solution for measuring advance care planning (ACP) activity by assisting electronic health record (EHR) review, overcoming traditional measurement challenges.

Keywords:
advance care planningelectronic health recordsnatural language processingquality improvementresearch design

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Area of Science:

  • Health Informatics
  • Medical Research Methodology

Background:

  • Advance care planning (ACP) is a growing clinical and research area.
  • Quantitatively measuring ACP presents significant challenges due to its complex, dynamic nature.
  • Traditional measurement methods rely on manual chart reviews or static documents, which capture only a partial view of ACP.

Purpose of the Study:

  • To demonstrate how Natural Language Processing (NLP)-assisted electronic health record (EHR) review enhances the measurement of ACP.
  • To present applications of NLP in improving ACP research, quality improvement, and clinical practice insights.

Main Methods:

  • Utilizing Natural Language Processing (NLP) for assisted review of electronic health records (EHRs).
  • Applying NLP techniques to overcome limitations of traditional ACP measurement methods.
  • Illustrating through three example applications.

Main Results:

  • NLP-assisted EHR review provides more accurate and robust measurement of ACP activity.
  • Demonstrated applications in research, quality improvement, and identifying clinical limitations of ACP.
  • NLP facilitates deeper insights into the multifaceted nature of ACP.

Conclusions:

  • NLP-assisted EHR review is a valuable advancement for researchers and clinicians measuring ACP.
  • This technology improves the accuracy and depth of understanding ACP.
  • NLP supports better research, quality improvement initiatives, and identification of clinical gaps in ACP.