News | September 17, 2007

New Database Designed to Streamline Nursing Efficiency, Reduce Medical Errors

September 18, 2007 — EBSCO Publishing has introduced Nursing Reference Center (NRC), a point-of-care tool for nurses to provide relevant, evidence-based medical information, which can be integrated into any electronic health record (EHR) system to streamline nursing efficiency and reduce medical errors.
NRC features the CINAHL Nursing Guide, including 3,600 evidence-based lessons on procedures including Quick Lessons - clinically-organized nursing overviews that are designed to map the nursing work flow. Also included are evidence-based care sheets, which gives summaries on key topics incorporating the best available evidence through systematic surveillance. The point-of-care tool also includes nursing reference books, lab and diagnostic test overviews, legal cases, point-of-care drug information for nurses, and customizable patient education information.
Nursing Reference Center enables nurses to quickly access the best available evidence on conditions or diseases and to review the leading nursing reference books at the point-of- care, which can be integrated into their workflow. By infusing evidence-based content into the workflow, NRC is designed to improve the consistency of care and ensure that the latest guidelines and medical alerts are known by the entire nursing staff. NRC allows nursing administrators to compile pertinent information on nursing standards, common conditions and treatment, diagnostic tests, research instruments, questionnaires, and drug information on a floor-by-floor or department-by-department basis.
Nursing Reference Center also includes hundreds of proprietary continuing education modules, daily nursing news feeds with FDA alerts and critical clinical updates, and allows for integrated searching of a user’s CINAHL and MEDLINE.

For more information: www.ebscohost.com

Related Content

MaxQ AI Launches Accipio Ax Slice-Level Intracranial Hemorrhage Detection
Technology | Computer-Aided Detection Software | May 21, 2019
Medical diagnostic artificial intelligence (AI) company MaxQ AI announced that Accipio Ax will begin shipping in August...
AI Detects Unsuspected Lung Cancer in Radiology Reports, Augments Clinical Follow-up
News | Artificial Intelligence | May 20, 2019
Digital Reasoning announced results from its automated radiology report analytics research. In a series of experiments...
FDA Clears Aidoc's AI Solution for Flagging Pulmonary Embolism
Technology | Artificial Intelligence | May 15, 2019
Artificial intelligence (AI) solutions provider Aidoc has been granted U.S. Food and Drug Administration (FDA)...
King's College London and NVIDIA Build U.K.'s First AI Platform for NHS Hospitals

King's College London will implement NVIDIA DGX-2 systems for AI research in the first phase of the project.

News | Artificial Intelligence | May 13, 2019
NVIDIA and King’s College London announced they are partnering to build an artificial intelligence (AI) platform that...
Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
Oxipit Introduces Multilingual Support for ChestEye AI Imaging Suite
News | Artificial Intelligence | April 16, 2019
The CE-certified ChestEye artificial intelligence (AI) imaging suite by Oxipit is now available in seven European...
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
Enlitic Closes Series B Funding for Artificial Intelligence Solutions for Radiologists
News | Artificial Intelligence | April 08, 2019
Radiology artificial intelligence (AI) company Enlitic announced the close of its $15 million Series B financing round...
iCAD Highlighting ProFound AI for Tomosynthesis at 2019 SBI Annual Symposium
News | Computer-Aided Detection Software | April 04, 2019
iCAD announced it will present its latest artificial intelligence (AI) software solution for digital breast...
A smart algorithm developed by iCAD

A smart algorithm developed by iCAD outlines and scores a suspicious lesion seen in an image created using digital breast tomography. Displayed is the probability calculated by the algorithm that the outlined area includes a cancerous lesion. Image courtesy of Emily Conant, M.D.

Feature | Artificial Intelligence | April 03, 2019 | Greg Freiherr
  Editor's Note: This article was updated following the SBI symposium.