Autonomous Systems and Artificial Intelligence in Healthcare Transformation to 5P Medicine - Ethical Challenges.

The paper introduces a structured approach to transforming healthcare towards personalized, preventive, predictive, participative precision (P5) medicine and the related organizational, methodological and technological requirements. Thereby, the deployment of autonomous systems and artificial intelligence is inevitably. The paper discusses opportunities and challenges of those technologies from a humanistic and ethical perspective.

Ontology-Based and Architecture-Based Method for the Development of Interoperable Care Systems for Type 2 Diabetes Mellitus.

Processes like the care of type 2 diabetes mellitus patients require support by information systems considering the heterogeneity of the actors from different domains involved, enabling harmonization and integration of their specific methodologies and knowledge representation approaches towards interdisciplinary cooperation. Currently, the development of systems starts from the simplified information world, ignoring the aforementioned heterogeneity and specificity of real-world processes. This paper aims to demonstrate the feasibility of developing an adaptive, interoperable and intelligent system that supports the major aspects of type 2 diabetes mellitus care based on the Generic Component Model as formal methodology for modelling universal systems.

Specializing architectures for the type 2 diabetes mellitus care use cases with a focus on process management.

The development of software supporting inter-disciplinary systems like the type 2 diabetes mellitus care requires the deployment of methodologies designed for this type of interoperability. The GCM framework allows the architectural description of such systems and the development of software solutions based on it. A first step of the GCM methodology is the definition of a generic architecture, followed by its specialization for specific use cases.

A generic architecture for an adaptive, interoperable and intelligent type 2 diabetes mellitus care system.

Chronic diseases such as Type 2 Diabetes Mellitus (T2DM) constitute a big burden to the global health economy. T2DM Care Management requires a multi-disciplinary and multi-organizational approach. Because of different languages and terminologies, education, experiences, skills, etc.

Towards automated biomedical ontology harmonization.

The use of biomedical ontologies is increasing, especially in the context of health systems interoperability. Ontologies are key pieces to understand the semantics of information exchanged. However, given the diversity of biomedical ontologies, it is essential to develop tools that support harmonization processes amongst them.

Architectural analysis of clinical ontologies for pHealth interoperability.

Comprehensive interoperability between eHealth/pHealth systems requires properly represented shared knowledge. Formal ontologies allow specifying the semantics of health knowledge representation in a well-defined and unambiguous manner. The objective of this paper is to formally analyze - from a system-theoretical architectural perspective - existing clinical ontologies.

Hepatitis C virus seroprevalence in multi-transfused patients in Colombia.

Background: Hepatitis C Virus (HCV) infection is a public health problem worldwide, with particular relevance in multi-transfused patients given that HCV is principally transmitted by exposure to infected blood.

Study Design: Between February and September 2003 a cross-sectional study was carried out in four hospital centres in Bogotá and Medellin, Colombia, to determine the risk factors for HCV infection in 500 multi-transfused patients.

Results: The study population was distributed in five groups: haemophilia, haemodyalsis, acute bleeding, ontological illnesses and sickle cell disease or thalassemia.