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Related Concept Videos

Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
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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.
Critical attributes of NCIS include:
Dimensions of Health and Illness01:21

Dimensions of Health and Illness

The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...

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Related Experiment Video

Updated: May 30, 2026

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
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A Dimensional Bus model for integrating clinical and research data.

Ted D Wade1, Richard C Hum, James R Murphy

  • 1Division of Biostatistics and Bioinformatics, National Jewish Health, Denver, Colorado 80206-2761, USA. wadet@njhealth.org

Journal of the American Medical Informatics Association : JAMIA
|August 23, 2011
PubMed
Summary

The Dimensional Bus model offers a balanced approach to clinical research data integration, improving query performance over traditional Entity-Attribute-Value systems. This new model efficiently manages diverse data sources for better research insights.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Area of Science:

  • Biomedical Informatics
  • Data Science
  • Clinical Research Data Management

Background:

  • Entity-Attribute-Value (EAV) models are common in clinical research data integration due to flexibility.
  • EAV models present challenges in query formulation and execution time.
  • A need exists for data integration models balancing flexibility with query efficiency.

Purpose of the Study:

  • To design and evaluate an alternative data integration model for clinical research.
  • To address the limitations of the Entity-Attribute-Value model in terms of query performance.
  • To achieve a better balance between data model flexibility and query efficiency.

Main Methods:

  • Developed the Dimensional Bus model, integrating concepts from EAV and enterprise data warehousing.
  • Applied the model to integrate diverse clinical data sources: electronic medical records, sponsored studies, and biorepositories.
  • Designed observational tables tailored to source data, linked to a central Bus for provenance and dimensional attributes.

Main Results:

  • Implemented a Bus-based clinical research data repository with an advanced query system.
  • The system demonstrated flexible data access and confidentiality management.
  • Facilitated catalog search and streamlined the formulation and compilation of complex queries.

Conclusions:

  • The Dimensional Bus model provides a viable solution for managing and querying mixed-schema data in a data warehouse.
  • This approach enhances the usability and efficiency of clinical research data integration.
  • Offers a practical method for handling diverse data types in research repositories.