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Related Concept Videos

Encoding01:19

Encoding

Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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,...
Drug Classes and Categories01:25

Drug Classes and Categories

Drugs can be classified according to their chemical composition or their intended therapeutic application. For instance, anti-infective agents that possess the ability to eliminate pathogens or suppress their growth and reproduction can be grouped based on the organisms they target or their chemical structure. Furthermore, drugs can be divided into prescription, nonprescription, or controlled substances. Prescription medications, such as antibiotics, require oversight from a licensed healthcare...
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Classification of Illness01:17

Classification of Illness

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 and...
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.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:

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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

Automatic medical encoding with SNOMED categories.

Patrick Ruch1, Julien Gobeill, Christian Lovis

  • 1Medical Informatics Service, University and University Hospitals of Geneva, Geneva, Switzerland. patrick.ruch@sim.unige.ch

BMC Medical Informatics and Decision Making
|November 26, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces new tools to accelerate healthcare encoding using SNOMED CT. The hybrid system significantly improves performance, offering a promising alternative to existing terminologies like MeSH.

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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Area of Science:

  • Medical Informatics
  • Clinical Terminology

Background:

  • Developing efficient methods for encoding clinical data is crucial.
  • Current tools for using SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms) can be time-consuming.

Purpose of the Study:

  • To design and evaluate novel tools for faster SNOMED CT encoding of care episodes.
  • To enhance the usability of SNOMED CT for clinical data annotation.

Main Methods:

  • A hybrid system combining vector-space retrieval and term list variation was developed.
  • The system functions as both a terminology browser and an automatic annotation tool.
  • Evaluation utilized a MEDLINE abstract sample, with SNOMED CT categories mapped to MeSH (Medical Subject Headings).

Main Results:

  • The hybrid system significantly outperformed individual modules.
  • High precision (P0 > 80%) was achieved for top-ranked SNOMED CT concepts.
  • SNOMED CT showed potential as an improvement over MeSH for medical terminologies.

Conclusions:

  • The SNOMED CT categorizer demonstrates sufficient precision for professional encoders.
  • Further clinical benchmarks and usability studies are required to validate the encoding method's real-world impact.
  • The developed system is available for research purposes.