Research Article
A Data-Driven Methodology and Workflow Process Leveraging Research Electronic Data Capture (REDCap) to Coordinate and Accelerate the Implementation of Personalized Microbiome-Based Nutrition Approaches in Clinical Research
@INPROCEEDINGS{10.1007/978-3-031-59717-6_10, author={Hania Tourab and Macarena Torrego Ellacur\^{\i}a and Laura Llorente Sanz and Arturo Corbat\^{o}n Anchuelo and Dulcenombre G\^{o}mez-Garre and Silvia S\^{a}nchez Gonz\^{a}lez and Mar\^{\i}a Luaces M\^{e}ndez and Beatriz Merino-Barbancho and Julio Mayol and Mar\^{\i}a Fernanda Cabrera and Mar\^{\i}a Teresa Arredondo and Giuseppe Fico}, title={A Data-Driven Methodology and Workflow Process Leveraging Research Electronic Data Capture (REDCap) to Coordinate and Accelerate the Implementation of Personalized Microbiome-Based Nutrition Approaches in Clinical Research}, proceedings={Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malm\o{}, Sweden, November 27-29, 2023, Proceedings}, proceedings_a={PERVASIVEHEALTH}, year={2024}, month={6}, keywords={personalized nutrition microbiome data clinical research electronic data capture}, doi={10.1007/978-3-031-59717-6_10} }- Hania Tourab
Macarena Torrego Ellacuría
Laura Llorente Sanz
Arturo Corbatón Anchuelo
Dulcenombre Gómez-Garre
Silvia Sánchez González
María Luaces Méndez
Beatriz Merino-Barbancho
Julio Mayol
María Fernanda Cabrera
María Teresa Arredondo
Giuseppe Fico
Year: 2024
A Data-Driven Methodology and Workflow Process Leveraging Research Electronic Data Capture (REDCap) to Coordinate and Accelerate the Implementation of Personalized Microbiome-Based Nutrition Approaches in Clinical Research
PERVASIVEHEALTH
Springer
DOI: 10.1007/978-3-031-59717-6_10
Abstract
In the rapidly evolving field of precision medicine, personalized nutrition is taking over as well. As individuals respond differently to diet, personalized nutrition engages the idea of going from delivering lifestyle and nutritional recommendations from the population to the individual level, allowing thus a better adherence to the diet, an achievement of nutritional goals, and an effective behavior change. The main factor contributing to the development of personalized nutrition in healthcare is the increase in the availability of large patient data that offers the opportunity to explore and investigate the relationship between various patient features, going from integrating simple data host to metagenomics data. Therefore, using microbiome data as a component of personalized nutrition can be substantial given the close relationship of the gut microbiome with nutrition and the host's health. However, shifting recommendations from the population to the individual level requires a robust data collection and management strategy. In this paper, we aim to describe the methodology and workflow process that uses Research Electronic Data Capture (REDCap) to facilitate the implementation of personalized microbiome-based nutrition approaches in clinical research.
