# Developing Community-Responsive mHealth and AI/ML: Understanding Perspectives of Hispanic Community Members in Washington State

> **NIH NIH UL1** · UNIVERSITY OF WASHINGTON · 2022 · $304,164

## Abstract

Mobile health applications (mHealth) and digital health sensors coupled with artificial intelligence and machine
learning (AI/ML) have the potential to become breakthrough technologies and support a holistic, preventive
model of healthcare. These technologies allow individuals to integrate their daily life activities with healthcare
delivery and are especially promising for patients living with 1 or more chronic conditions. mHealth
technologies are key to reaching populations who rely on mobile devices for internet access. They also have
the potential to reduce health inequities for those who face barriers to healthcare access because of cost,
geography, language, or systemic racism. However, if these technologies are developed without appropriately
incorporating the values of those intended to benefit from them, they risk exacerbating rather than alleviating
health disparities by amplifying existing structural assumptions in healthcare, resulting in technologies that are
unusable, unresponsive, or otherwise not appropriate for the sociocultural context in which people live.
Researchers developing mHealth and AI/ML technologies need a robust evidence base about community
values to inform technology development, including which health conditions are highest priority and tools to
support embedding community values throughout research.
This project will build on longstanding relationships that the University of Washington Institute of Translational
Health Sciences (ITHS) has developed with Hispanic communities across Washington State. We will examine
ethical questions about the potential benefits and burdens of mHealth and AI/ML from the perspective of
Hispanic-identifying community members and produce a prototype translational resource for mHealth and
AI/ML research and application development. This supplement brings together 2 key goals for ITHS:
(1) integrating community stakeholders at all stages of translational research, and (2) developing accessible
methods, tools, and education for informatics and machine learning. To advance these goals, we aim to:
(1) develop community-facing materials conveying key features of potential mHealth applications; (2) describe
perspectives of Hispanic-identifying community members in Washington State about the use of mHealth and
AI/ML; and (3) produce a prototype translational resource to guide mHealth and AI/ML researchers in
development of community-responsive technologies. This resource can be refined by future research teams,
both within the Clinical and Translational Science Award (CTSA) consortium and beyond, and can be used to
guide future work across patient populations and clinical scenarios.

## Key facts

- **NIH application ID:** 10598360
- **Project number:** 3UL1TR002319-06S1
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Mary L. Disis
- **Activity code:** UL1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $304,164
- **Award type:** 3
- **Project period:** 2022-09-01 → 2023-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10598360

## Citation

> US National Institutes of Health, RePORTER application 10598360, Developing Community-Responsive mHealth and AI/ML: Understanding Perspectives of Hispanic Community Members in Washington State (3UL1TR002319-06S1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10598360. Licensed CC0.

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