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Related Concept Videos

Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Types of Reports I: Hands-off Report01:25

Types of Reports I: Hands-off Report

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A hand-off report, also known as a change-of-shift report, is a crucial nursing process that ensures the smooth transition of patient care responsibilities between nursing staff.
Following are the key components and categories of hand-off reports:
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Patch Clamp01:18

Patch Clamp

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Many fundamental cell functions such as muscle contraction and nerve transmission rely on the electrical signals produced by the movement of positively and negatively charged ions across the cell membrane. One competent method to record current flowing across the whole cell or single ion channel is the patch-clamp technique.
In this method, a glass micropipette containing electrolyte solution is tightly sealed against a small portion of the cell membrane. As a result, a patch of the cell...
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Types of Reports II: Incident or Occurrence Report01:21

Types of Reports II: Incident or Occurrence Report

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An Incident or Occurrence Report in a healthcare setting is a crucial document used to record any unexpected occurrence that may or may not have affected a patient, employee, or visitor. Such reports are critical to improving patient safety and include all details leading up to and including the event.
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Types of Reports III: Telephone and Verbal Reports01:26

Types of Reports III: Telephone and Verbal Reports

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Telephone and Verbal Reports in healthcare settings are two communication methods for conveying therapeutic instructions from healthcare providers to nurses or other healthcare staff.
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Reporter Genes02:11

Reporter Genes

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Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Developing Customizable Cancer Information Extraction Modules for Pathology Reports Using CLAMP.

Ergin Soysal1, Jeremy L Warner2,3,4, Jingqi Wang1

  • 1School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas.

Studies in Health Technology and Informatics
|August 24, 2019
PubMed
Summary
This summary is machine-generated.

We developed CLAMP-Cancer, a customizable natural language processing (NLP) tool, to extract cancer information from pathology reports. This system facilitates NLP adoption in cancer research with good performance.

Keywords:
Electronic Health RecordsInformation Storage and RetrievalNatural Language Processing

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Area of Science:

  • Biomedical Informatics
  • Computational Oncology
  • Natural Language Processing

Background:

  • Automated information extraction from electronic health records (EHRs) is crucial for cancer research.
  • Developing customized natural language processing (NLP) solutions for cancer data is resource-intensive.
  • Pathology reports contain rich phenotypic information vital for cancer studies.

Purpose of the Study:

  • To develop a customizable NLP system, CLAMP-Cancer, for extracting comprehensive cancer-related information from pathology reports.
  • To leverage the CLAMP platform for user-friendly customization of NLP solutions in oncology.
  • To facilitate wider adoption of NLP technologies in cancer research.

Main Methods:

  • Developed a set of customizable NLP modules (CLAMP-Cancer) integrated with the CLAMP system.
  • Utilized user-friendly interfaces for tailoring NLP solutions to specific cancer research needs.
  • Evaluated CLAMP-Cancer using annotated pathology report data from Vanderbilt University Medical Center.

Main Results:

  • CLAMP-Cancer demonstrated high performance in extracting diverse cancer information, achieving F-measures between 0.80 and 0.98.
  • Successfully applied CLAMP-Cancer at Mayo Clinic, rapidly building a customized NLP system with performance comparable to existing solutions.
  • The system efficiently extracts key details like tumor size, stage, and biomarkers.

Conclusions:

  • CLAMP-Cancer offers a flexible and effective solution for extracting critical cancer information from pathology reports.
  • The CLAMP system enables rapid development of customized NLP tools, reducing barriers to entry for cancer researchers.
  • CLAMP-Cancer is freely available for academic use, promoting advancements in computational oncology.