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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:
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Bioequivalence: Overview01:16

Bioequivalence: Overview

Pharmaceutical equivalents, by definition, are drug products with the same active ingredient in the same quantities, encapsulated in identical dosage forms, and intended for the same administration routes. These pharmaceutical equivalents are deemed bioequivalent if the bioavailability of the active entity in the drug preparations is similar. Moreover, pharmaceutical equivalents demonstrating bioequivalence are also regarded as therapeutically equivalent. This means that when used as directed,...

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Related Experiment Video

Updated: May 15, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Oncoshare: lessons learned from building an integrated multi-institutional database for comparative effectiveness

Susan C Weber1, Tina Seto, Cliff Olson

  • 1Center for Clinical Informatics, Stanford University, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 11, 2013
PubMed
Summary

Developing informatics methods for comparative effectiveness research (CER) is crucial. The Oncoshare project successfully integrated multi-institutional breast cancer data, creating a validated resource for oncology care research.

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Area of Science:

  • Health Informatics
  • Comparative Effectiveness Research
  • Oncology

Background:

  • Comparative effectiveness research (CER) relies on informatics for data management from diverse electronic sources.
  • Multi-institutional studies require robust methods for data extraction, standardization, sharing, and integration.

Purpose of the Study:

  • To evaluate informatics approaches for building and validating the Oncoshare data resource for breast cancer CER.
  • To identify key lessons learned in developing a multi-institutional, longitudinal oncology data resource.

Main Methods:

  • Utilized state/regional cancer registries for subject inclusion.
  • Adopted existing standards like Surveillance, Epidemiology and End Results (SEER) for data dictionaries.
  • Employed the Social Security Administration Death Master File (SSA DMF) for mortality outcome ascertainment.

Main Results:

  • Cancer registries are efficient starting points for subject identification.
  • Standardized data dictionaries improve consistency.
  • The SSA DMF offers reliable mortality data.
  • Validating CER databases can take up to two years.

Conclusions:

  • The Oncoshare project successfully integrated complex, longitudinal data from multiple sources.
  • The developed informatics methods provide a validated resource for oncology care research.
  • Lessons learned offer guidance for future CER database development.