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Related Concept Videos

Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
Data Collection III01:05

Data Collection III

The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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:
Drug Discovery: Overview01:26

Drug Discovery: Overview

Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...

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The NIH Open Citation Collection: A public access, broad coverage resource.

B Ian Hutchins1, Kirk L Baker1, Matthew T Davis1

  • 1Office of Portfolio Analysis, Division of Program Coordination, Planning, and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, Maryland, United States of America.

Plos Biology
|October 11, 2019
PubMed
Summary

The National Institutes of Health (NIH) now offers the Open Citation Collection (NIH-OCC), a public database for biomedical research. This initiative removes barriers, making citation data accessible for robust and reproducible scientific analysis.

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Area of Science:

  • Biomedical Research
  • Bibliometrics
  • Data Science

Background:

  • Citation data is often restricted by proprietary licenses, hindering analysis and reproducibility.
  • Barriers include high costs and limited access for researchers.
  • Lack of open data impacts the robustness of scientific conclusions.

Purpose of the Study:

  • To describe the NIH Open Citation Collection (NIH-OCC), a publicly accessible database.
  • To provide freely available citation data for the biomedical research community.
  • To enhance the NIH iCite analytic platform with open citation statistics.

Main Methods:

  • Aggregating and enhancing citation data from unrestricted sources like MedLine, PubMed Central (PMC), and CrossRef.
  • Utilizing a machine learning pipeline for reference identification, extraction, resolution, and disambiguation from full-text articles.
  • Developing a public access database, the NIH-OCC.

Main Results:

  • The NIH-OCC is now freely available to the research community.
  • The dataset powers citation statistics within the NIH iCite platform.
  • Open citation links are accessible through an updated iCite platform.

Conclusions:

  • The NIH-OCC democratizes access to citation data, fostering greater transparency and collaboration.
  • This initiative significantly lowers barriers for large-scale bibliometric analyses.
  • Increased data accessibility promotes more robust and reproducible scientific findings.