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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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One Digital Health for more FAIRness.

Oscar Tamburis1, Arriel Benis2,3

  • 1Institute of Biostructures and Bioimaging, National Research Council of Italy, Naples, Italy.

Methods of Information in Medicine
|September 7, 2022
PubMed
Summary
This summary is machine-generated.

The One Digital Health (ODH) framework integrates One Health and Digital Health, aligning with FAIR principles for data sharing. Further development is needed to fully assess FAIRness in complex, interconnected ODH interventions.

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Area of Science:

  • Digital Health
  • One Health
  • Data Science

Background:

  • The One Digital Health (ODH) framework merges One Health and Digital Health principles.
  • FAIR (Findable, Accessible, Interoperable, Reusable) principles guide data and computational agent interactions for seamless data reuse.
  • ODH aims to create an innovative landscape by integrating these domains.

Purpose of the Study:

  • To evaluate the ODH framework's compliance with FAIR principles and metrics.
  • To identify if adapted metrics are necessary for effective ODH Intervention setup.
  • To guide future investigations into ODH framework's FAIRness.

Main Methods:

  • An integrative literature analysis was performed.
  • Instances of FAIR principles in the ODH framework's layers (keys, perspectives, dimensions) were extracted.
  • The scatteredness in achieving FAIRness due to the lack of a unifying framework was assessed.

Main Results:

  • A preliminary interpretation of ODH framework's technological components in light of FAIR principles was conducted.
  • Existing data FAIRification workflows provide a foundation, but assessing FAIR aspects in highly interconnected ODH scenarios remains challenging.
  • Opportunities for improvement exist in addressing healthcare delivery, digital health transformation, and digital nature conservation.

Conclusions:

  • ODH pillars support data availability (findability, accessibility) for human, animal, and environmental health.
  • The framework enables understanding complex interactions (interoperability) and data evolution (reusability).
  • Integrating ODH Interventions with FAIR characteristics offers a systemic, digital approach to health and ecology.