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EIP on AHA Ontology for adherence: Knowledge representation advanced tools.

E Román-Villarán¹, F P Pérez-Leon¹, G A Escobar-Rodriguez¹

¹Biomedical Informatics, Biomedical Engineering and Health Economy R&I Group. Institute of Biomedicine of Seville, IBiS/"Virgen del Rocío" University Hospital/CSIC/University of Seville, Seville, Spain.

Translational Medicine @ Unisa

|July 31, 2019

Summary

This summary is machine-generated.

This study introduces an ontology to improve medication adherence for complex chronic patients, aiming to reduce healthcare costs and enhance quality of life. The developed tool supports decision-making in polypharmacy management.

Keywords:

Adherence Knowledge chronic diseases older patients polypharmacy

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Area of Science:

Gerontology and Health Services Research
Health Informatics
Pharmacoeconomics

Background:

Increasing life expectancy leads to chronic diseases and polypharmacy, significantly increasing healthcare expenditure.
Complex chronic patients, characterized by multiple pathologies and medications, represent a substantial portion of healthcare costs.
The European Innovation Partnership's
Action Group A1
actively seeks to improve outcomes for these patients.

Purpose of the Study:

To develop a decision support tool for improving medication adherence in complex chronic patients.
To create an ontology focused on medication adherence and its measurement methods.
To address the challenges of polypharmacy and its associated healthcare costs.

Main Methods:

Development of a domain-specific ontology for medication adherence.
Knowledge gathering focused on adherence measurement and related factors.
Integration of the ontology into decision support tools within the PITeS TIiSS project.

Main Results:

An ontology was successfully developed, encompassing key knowledge on medication adherence.
The ontology provides a foundation for decision support tools aimed at improving adherence.
Potential to optimize pharmaceutical spending and enhance patient care.

Conclusions:

The developed ontology serves as a valuable tool for understanding and improving medication adherence.
Decision support systems incorporating this ontology can help manage polypharmacy effectively.
This initiative contributes to enhancing the quality of life and health outcomes for aging populations.