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Related Concept Videos

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:
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Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
Integrated Healthcare System01:20

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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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Enzyme-Linked Immunosorbent Assay01:33

Enzyme-Linked Immunosorbent Assay

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Updated: May 16, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

The ideal laboratory information system.

Jorge L Sepulveda1, Donald S Young

  • 1Department of Pathology & Cell Biology, Columbia University, New York, New York 10032, USA. jls2282@columbia.edu

Archives of Pathology & Laboratory Medicine
|December 11, 2012
PubMed
Summary
This summary is machine-generated.

Modern laboratory information systems (LIS) require updates to manage increasing data complexity and improve patient care. This study offers design suggestions for optimizing LIS functionality in clinical laboratories.

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Antibody Profiling by Luciferase Immunoprecipitation Systems (LIPS)
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Antibody Profiling by Luciferase Immunoprecipitation Systems (LIPS)

Published on: October 7, 2009

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Last Updated: May 16, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Antibody Profiling by Luciferase Immunoprecipitation Systems (LIPS)
12:19

Antibody Profiling by Luciferase Immunoprecipitation Systems (LIPS)

Published on: October 7, 2009

Area of Science:

  • Clinical Laboratory Science
  • Health Informatics

Background:

  • Laboratory Information Systems (LIS) are crucial for clinical laboratory operations.
  • Current LIS functionalities lag behind technological advancements and increasing data complexity from high-throughput testing.
  • LIS are essential for managing information flow between healthcare providers, patients, and laboratories.

Purpose of the Study:

  • To propose design enhancements for Laboratory Information Systems (LIS).
  • The goal is to optimize clinical laboratory operations and enhance patient care through intelligent information management.

Main Methods:

  • Literature review.
  • Interviews with laboratory users.
  • Expert opinion and personal experience.

Main Results:

  • LIS can significantly improve laboratory operations and patient care outcomes.
  • Specific improvement areas include information security, test ordering, specimen handling, and result reporting.
  • Further enhancements involve data mining, quality management, and administrative/financial considerations.

Conclusions:

  • Optimized Laboratory Information Systems (LIS) are vital for modern healthcare.
  • Implementing suggested design improvements can enhance efficiency and patient outcomes.
  • Continuous development of LIS is necessary to meet evolving laboratory demands.