Toward Reducing Health Information Inequities in the Caribbean: Our Experience Building a Participatory Health
Karen Wang1,2, Ian Hambleton3, Erika Linnander4
1Equity Research and Innovation Center, General Internal Medicine, Yale School of Medicine, New Haven, CT.
Ethnicity & Disease
|April 10, 2020
Summary
This study addresses health disparities by using precision medicine and participatory informatics to improve data sharing and infrastructure equity for Caribbean populations.
Area of Science:
- Health Informatics
- Precision Medicine
- Health Disparities Research
Background:
- Health information systems require integrated data, but infrastructure inequities limit their effectiveness.
- Precision medicine aims to improve individual health outcomes through technology and data.
- Existing data infrastructure challenges disproportionately affect certain populations.
Purpose of the Study:
- To describe the work of the Yale Transdisciplinary Collaborative Center for Health Disparities focused on Precision Medicine.
- To improve the health of people in the Caribbean and Caribbean diaspora.
- To explore participatory informatics as a method for reducing data infrastructure inequities.
Main Methods:
- Utilizing a transdisciplinary collaborative approach.
- Focusing on precision medicine strategies.
- Implementing participatory informatics for data sharing.
Main Results:
- The Yale Center is actively working on precision medicine initiatives.
- A participatory informatics approach is proposed for data sharing.
- This approach aims to mitigate existing infrastructure inequities.
Conclusions:
- Precision medicine offers potential for improving health outcomes.
- Participatory informatics can address data sharing and infrastructure challenges.
- Targeting health disparities in the Caribbean and diaspora requires innovative data strategies.
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