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Related Concept Videos

Functionalism01:11

Functionalism

518
William James, John Dewey, and Charles Sanders Peirce were instrumental in founding functional psychology, which draws heavily from Darwin's theory of evolution by natural selection. This theory suggests that individual traits, including behaviors, are adapted to their environments through natural selection. At the heart of functionalism is the concept of adaptation, meaning that a trait enhances an individual's chances of survival and reproduction.
James envisioned psychology's...
518

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Operationalizing and digitizing person-centered daily functioning: a case for functionomics.

Esther R C Janssen1,2,3, Ilona M Punt4, Johan van Soest5,6

  • 1Radboud Institute for Health Sciences, IQ health, Radboud university medical centre, Nijmegen, The Netherlands. estherjanssen@viecuri.nl.

BMC Medical Informatics and Decision Making
|June 27, 2024
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Summary
This summary is machine-generated.

Functionomics, the study of daily functioning data, can revolutionize healthcare. Applying FAIR principles makes this data accessible, improving person-centered care and accelerating health discoveries.

Keywords:
Big dataInformation technologyInteroperabilityPersonalized healthcareReal-world data

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Area of Science:

  • Health Informatics
  • Data Science
  • Biomedical Research

Background:

  • Vast amounts of daily functioning data are collected but remain inaccessible.
  • Unstructured data limits the potential for revolutionizing person-centered healthcare.
  • Integrating and analyzing this data is crucial for advancing health knowledge.

Purpose of the Study:

  • Introduce functionomics as a complementary 'omics' initiative to leverage daily functioning data.
  • Operationalize functionomics using the International Classification of Functioning, Disability and Health (ICF).
  • Demonstrate the application of FAIR principles for making functionomics data machine-readable and accessible.

Main Methods:

  • Applying the FAIR (Findable, Accessible, Interoperable, Reusable) principles.
  • Illustrating a step-by-step application of FAIR principles in a practical example.
  • Utilizing a federated data infrastructure for analyzing functionomics data.

Main Results:

  • Functionomics data can be made machine-readable and accessible under certified conditions.
  • Established FAIR functionomics data repositories facilitate new knowledge generation.
  • The proposed methods enable improved health outcomes and person-centered healthcare.

Conclusions:

  • Implementing FAIR principles is essential for unlocking the potential of functionomics data.
  • Federated data infrastructures are key to analyzing functionomics data effectively.
  • Adoption of these methods by the research community will advance health and healthcare.