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Related Concept Videos

Formats for Nursing Documentation01:28

Formats for Nursing Documentation

Nursing documentation encompasses various formats designed to capture precise patient data, facilitate communication among healthcare team members, and ensure comprehensive and accurate patient records. Let's explore each of these formats in detail:
Nursing Assessment Form:
• A nursing assessment form is a foundational document that captures detailed patient data from physical assessments and nursing histories.
• It includes patient demographics, medical history, current medications, vital...
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
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Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
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Key Attributes include the following:
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

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 settings,...
Introduction to Language of Pathophysiology l01:25

Introduction to Language of Pathophysiology l

Pathophysiology investigates how biological mechanisms—typically starting at the cellular level—disrupt normal bodily functions. It bridges anatomy and physiology to explain the progression of disease. With this foundation, it is important to understand the following key terms used to describe disease processes: Diagnosis:The process of identifying a disease using clinical evaluation, including signs (objective evidence like rashes), symptoms (subjective experiences like pain), laboratory test...

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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

Lexical patterns, features and knowledge resources for coreference resolution in clinical notes.

Phil Gooch1, Abdul Roudsari

  • 1Centre for Health Informatics, City University, London, UK. Philip.Gooch.1@city.ac.uk

Journal of Biomedical Informatics
|March 28, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel knowledge-centric approach for clinical coreference resolution, significantly improving entity linking in medical texts. The method achieves performance comparable to human annotators, outperforming general-purpose tools.

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Area of Science:

  • Natural Language Processing
  • Clinical Informatics
  • Information Extraction

Background:

  • General-purpose coreference resolution tools struggle with the complexities of clinical text.
  • Extracting linked narrative events from clinical notes requires accurate entity coreference chains.

Purpose of the Study:

  • To develop and evaluate a knowledge-centric, pattern-based approach for resolving coreference in clinical records.
  • To generate coreference chains efficiently using progressively pruned linked lists.

Main Methods:

  • Utilized a knowledge-centric and pattern-based strategy for coreference resolution.
  • Applied a method of generating coreference chains with progressively pruned linked lists.
  • Evaluated the approach on two clinical corpora: Ontology Development and Information Extraction (ODIE) and i2b2/VA.

Main Results:

  • Achieved F-measures of 79.2% on the ODIE corpus and 87.5% on the i2b2/VA corpus.
  • Demonstrated significant improvements in recall for ODIE and recall, precision, and F-measure for i2b2/VA compared to a baseline.
  • Performance was comparable to human annotators and superior to general-purpose tools.

Conclusions:

  • The proposed knowledge-centric approach significantly enhances coreference resolution in clinical texts.
  • The system offers a robust and efficient method for extracting linked narrative events from diverse clinical records.
  • Open-source components of the system are available for download, promoting further research and application.