Efficient Results in Semantic Interoperability for Health Care

Soualmia, Lina Fatima; Charlet, Jean

doi:10.15265/iy-2016-051

Cited by 4 publications

References 24 publications

(23 reference statements)

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Desiderata for sharable computable biomedical knowledge for learning health systems

Lehmann

Downs

2018

Learning Health Systems

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In this commentary, we work out the specific desired functions required for sharing knowledge objects (based on statistical models) presumably to be used for clinical decision support derived from a learning health system, and, in so doing, discuss the implications for novel knowledge architectures. We will demonstrate how decision models, implemented as influence diagrams, satisfy the desiderata. The desiderata include locally validate discrimination, locally validate calibration, locally recalculate thresholds by incorporating local preferences, provide explanation, enable monitoring, enable debiasing, account for generalizability, account for semantic uncertainty, shall be findable, and others as necessary and proper. We demonstrate how formal decision models, especially when implemented as influence diagrams based on Bayesian networks, support both the knowledge artifact itself (the “primary decision”) and the “meta‐decision” of whether to deploy the knowledge artifact. We close with a research and development agenda to put this framework into place.

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Desiderata for sharable computable biomedical knowledge for learning health systems

Lehmann

Downs

2018

Learning Health Systems

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Semantic Interoperability for Development of Future Health Care: A Systematic Review of Different Technologies

Patange

Sonara

Bhatt

2021

Lecture Notes in Networks and Systems

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World is getting smaller and smaller in a digital era but accurate and precise health care depends upon high-quality information. Attributes of patients, manufacturers, medicines, treatment systems, laboratory standards, hospitals, etc., are not identified in a real sense in many cases of development of healthcare data But due to unavailability of authentic information, it cannot be integrated for use of interoperability. Furthermore, an exchanged data must be understood by a user which does not exist in the present time. This paper aims to identify the role of core elements in health care. This paper provides a platform for identifying the role of each element by conducting a survey and analyzing it for semantic interoperability which is a prerequisite of Web Semantic. Survey reveals that interoperability in health care obtained only when the role of each element is identified in a holistic approach.

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