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A major problem to be solved in health informatics is
high quality, structured and timely data collection.
Standard terminologies and uniform domain conceptual
models are important steps to alleviate this problem
which are also proposed to enable interoperability
among systems. With the aim of contributing to the
solution of this problem, this study proposes novel
features for the Archetypes and multi-level modeling
technique in health information and knowledge
modeling. The study consists of the development of a
research prototype for endoscopic data management,
and based on that experience, the extension of
Minimal Standard Terminology in Digestive Endoscopy
(MST). A major contribution of the study consists of
significant extensions to the modeling formalism. The
proposed modeling approach may be used in the design
and development of health information systems based
on archetypes for structured data collection,
validation and dynamic user interface creation. This
work is aimed to make considerable contribution to
the emerging Electronic Health Records (EHR)
standards and specifications.
high quality, structured and timely data collection.
Standard terminologies and uniform domain conceptual
models are important steps to alleviate this problem
which are also proposed to enable interoperability
among systems. With the aim of contributing to the
solution of this problem, this study proposes novel
features for the Archetypes and multi-level modeling
technique in health information and knowledge
modeling. The study consists of the development of a
research prototype for endoscopic data management,
and based on that experience, the extension of
Minimal Standard Terminology in Digestive Endoscopy
(MST). A major contribution of the study consists of
significant extensions to the modeling formalism. The
proposed modeling approach may be used in the design
and development of health information systems based
on archetypes for structured data collection,
validation and dynamic user interface creation. This
work is aimed to make considerable contribution to
the emerging Electronic Health Records (EHR)
standards and specifications.