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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.
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Non-invasive Optical Imaging of the Lymphatic Vasculature of a Mouse
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Published on: March 8, 2013

NCI Imaging Data Commons.

Andrey Fedorov1, William J R Longabaugh2, David Pot3

  • 1Brigham and Women's Hospital, Department of Radiology, Harvard Medical School, Boston, Massachusetts. fedorov@bwh.harvard.edu.

Cancer Research
|June 29, 2021
PubMed
Summary
This summary is machine-generated.

The National Cancer Institute (NCI) Imaging Data Commons (IDC) offers cloud-based access to deidentified cancer imaging data. This resource supports integrated analysis for researchers, advancing cancer research through data accessibility.

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Area of Science:

  • Oncology
  • Medical Informatics
  • Bioinformatics

Background:

  • The National Cancer Institute (NCI) is developing the Cancer Research Data Commons (CRDC) as a national cloud-based data science infrastructure.
  • The Imaging Data Commons (IDC) is a new component of the CRDC, funded by the Cancer Moonshot initiative.

Purpose of the Study:

  • To provide cancer researchers, regardless of imaging expertise, with accessible deidentified imaging data.
  • To facilitate integrated analyses of imaging and non-imaging cancer data.
  • To support cloud-based cancer imaging research through a data commons framework.

Main Methods:

  • Colocating diverse imaging collections with cloud computing resources.
  • Integrating data exploration, visualization, and analysis tools.
  • Populating the IDC with radiology and histopathology collections since its pilot release in October 2020.

Main Results:

  • The IDC pilot was launched in October 2020 and is continuously updated with imaging data.
  • The IDC offers curated imaging collections, documentation, a user forum, and analysis use cases.
  • The framework demonstrates the value of a data commons for cancer imaging research.

Conclusions:

  • The NCI Imaging Data Commons is a significant new repository within the CRDC.
  • The IDC will enhance cancer imaging research by providing cloud-based data access and analysis tools.
  • This initiative supports integrated data science approaches in oncology research.