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Related Concept Videos

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:
Integrated Healthcare System01:20

Integrated Healthcare System

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,...
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:
Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

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...
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Related Experiment Video

Updated: Jul 10, 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

Integrated information systems for translational medicine.

A Winter1, G Funkat, A Haeber

  • 1Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Haertelstr. 16-18, 04107 Leipzig, Germany. alfred.winter@imise.uni-leipzig.de

Methods of Information in Medicine
|October 17, 2007
PubMed
Summary
This summary is machine-generated.

Bridging the gap between clinical care and research requires improved data sharing and integrated information systems. Addressing these challenges facilitates translational medicine by connecting

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Area of Science:

  • Translational Medicine
  • Health Informatics
  • Clinical Research

Background:

  • Weaknesses exist in integrating research networks (bench) with health information systems (bedside).
  • A two-way information flow is crucial for effective translational medicine.
  • Deficiencies in current systems hinder the bench-to-bedside continuum.

Purpose of the Study:

  • To examine measures for overcoming deficiencies in translational medicine information systems.
  • To explore cost-sharing models for clinical research involving health insurances.
  • To assess data quality, patient privacy, and system integration for research and care.

Main Methods:

  • Investigated cost separation and sharing by health insurers.
  • Evaluated the sufficiency of patient care data quality for research.
  • Examined patient identity protection and data archiving methods.
  • Assessed information system integration for care and research.

Main Results:

  • Health insurers partially cover clinical trial costs due to improved care quality.
  • Minimum basic data sets are needed to enhance data quality.
  • Pseudonymization effectively balances patient identity needs with privacy concerns.
  • Archiving utilizes similar methods for care and research records (XML, CDISC).
  • Networking infrastructures for care and research require bridging and harmonization.

Conclusions:

  • Linking care and research information systems necessitates robust technical infrastructures.
  • Economic and organizational regulations are essential for successful integration.
  • A harmonized approach to networking is key for future advancements.