Related Experiment Videos
A system-theoretical, architecture-based approach to ontology management
Bernd Blobel1, Mathias Brochhausen, Carolina González
1eHealth Competence Center, University Hospital Regensburg, Germany. bernd.blobel@klinik.uni-regensburg.de
Studies in Health Technology and Informatics
|August 10, 2012
Summary
Achieving interoperability in distributed eHealth and pHealth systems requires common architectural frameworks and shared knowledge. This study demonstrates representing systems using ontologies, aligning their design with architectural principles.
Area of Science:
- Computer Science
- Health Informatics
- Ontology Engineering
Background:
- Distributed eHealth and pHealth systems face challenges in achieving comprehensive interoperability.
- Interoperability necessitates common architectural frameworks and shared knowledge representation among systems.
Purpose of the Study:
- To explore the representation of eHealth/pHealth systems using ontologies.
- To demonstrate how architectural principles can guide ontology design and management for system interoperability.
Main Methods:
- Utilizing ontologies for system representation in distributed healthcare environments.
- Applying architectural principles to the design and management of these ontologies.
- Providing exemplified case studies for ontology-driven system design.
Main Results:
- Ontologies effectively represent complex eHealth/pHealth systems and their interrelations.
- Architectural principles provide a robust foundation for designing and managing interoperable healthcare system ontologies.
- Exemplification confirms the practical applicability of the proposed ontology-based approach.
Conclusions:
- A common architectural framework and shared knowledge, represented by ontologies, are crucial for eHealth/pHealth interoperability.
- The design principles of system architecture directly inform the design and management of related ontologies.
- This ontology-centric approach facilitates the development of truly interconnected distributed healthcare information systems.
Related Concept Videos
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...
For example, a patient with a chronic illness...
Classification of Systems-I
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Schemata
A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
Two types of schemata are:
Two types of schemata are:
Mechanistic Models: Overview of Compartment Models
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
State Space Representation
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
Natural and Artificial Concepts
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint Vincent in...