Operationalizing and digitizing person-centered daily functioning: a case for functionomics.
Big data
Information technology
Interoperability
Personalized healthcare
Real-world data
Journal
BMC medical informatics and decision making
ISSN: 1472-6947
Titre abrégé: BMC Med Inform Decis Mak
Pays: England
ID NLM: 101088682
Informations de publication
Date de publication:
27 Jun 2024
27 Jun 2024
Historique:
received:
04
04
2023
accepted:
21
06
2024
medline:
28
6
2024
pubmed:
28
6
2024
entrez:
27
6
2024
Statut:
epublish
Résumé
An ever-increasing amount of data on a person's daily functioning is being collected, which holds information to revolutionize person-centered healthcare. However, the full potential of data on daily functioning cannot yet be exploited as it is mostly stored in an unstructured and inaccessible manner. The integration of these data, and thereby expedited knowledge discovery, is possible by the introduction of functionomics as a complementary 'omics' initiative, embracing the advances in data science. Functionomics is the study of high-throughput data on a person's daily functioning, that can be operationalized with the International Classification of Functioning, Disability and Health (ICF).A prerequisite for making functionomics operational are the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. This paper illustrates a step by step application of the FAIR principles for making functionomics data machine readable and accessible, under strictly certified conditions, in a practical example. Establishing more FAIR functionomics data repositories, analyzed using a federated data infrastructure, enables new knowledge generation to improve health and person-centered healthcare. Together, as one allied health and healthcare research community, we need to consider to take up the here proposed methods.
Identifiants
pubmed: 38937817
doi: 10.1186/s12911-024-02584-2
pii: 10.1186/s12911-024-02584-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
184Informations de copyright
© 2024. The Author(s).
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