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Nutrigenomic Information in the openEHR Data Set.

Priscila Alves Maranhão1, Gustavo Marísio Bacelar-Silva1, Duarte Nuno Gonçalves Ferreira1

  • 1Faculty of Medicine, Center for Research in Health Technologies and Information Systems (CINTESIS), University of Porto, Porto, Portugal.

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|March 29, 2018
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Summary
This summary is machine-generated.

This study developed a nutrigenomic template for openEHR systems, enabling better clinical data management in personalized nutrition. The new archetypes and template support dietitians and researchers in nutrigenomics.

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Area of Science:

  • Nutritional Science
  • Genomics
  • Health Informatics

Background:

  • Personalized nutrition evolved from the Human Genome Project, focusing on individual needs and genetic variations.
  • Nutrigenomics investigates how nutrients affect gene expression and individual dietary responses.
  • Challenges exist in managing current and future clinical data in personalized nutrition.

Purpose of the Study:

  • Identify key clinical statements in nutrigenomics for a future-proof health information system.
  • Develop openEHR archetypes and a specific nutrigenomic template for clinical practice and research.

Main Methods:

  • Systematic literature search in PubMed and other databases.
  • Analysis of 51 articles based on inclusion criteria, identifying 117 clinical statements.
  • Modeling of four new archetypes and a nutrigenomic template using openEHR tools.

Main Results:

  • 117 clinical statements and 27 archetype-friendly concepts were identified.
  • Four new archetypes (waist-to-height ratio, genetic test results, genetic summary, diet plan) were modeled.
  • A specific nutrigenomic template for nutrition care was created.

Conclusions:

  • The developed archetypes and openEHR template provide a valuable tool for dietitians and health professionals.
  • This resource facilitates nutrigenomic clinical practices and enhances data collection for research.
  • The study contributes to advancing the management of clinical data in personalized nutrition.