# Personalized visualization tool to improve communication between clinicians, Latinos with ADRD, and their care partners

> **NIH NIH R43** · CLEAR SESSION, INC. · 2024 · $499,796

## Abstract

Project Summary
Clear Session, Inc is partnering with UTHealth Houston to develop an innovative digital
visualization solution to increase engagement among Latino ADRD, their caregivers and
healthcare providers.
Evidence reveals racial/ethnic disparities in the quality of patient-provider communication
among ADRD patients. Health providers are lacking in the ability to communicate in a clear and
culturally competent manner with Latino ADRD patients and their care-givers.
We will design a linguistically- and culturally-tailored digital visualization tool that
enhances healthcare conversations by breaking down the information in clear and
comprehensible ways to help the patients better understand what is being discussed and by
removing communication barriers around literacy, numeracy, and education. Patients and
caregivers will also remember what is discussed as all the visual activity that occurs on the
screen can be saved as an animation and shared with family members.
Culturally- and linguistically-tailored communication between patient navigators and patients has
the potential to have significant positive impact.

## Key facts

- **NIH application ID:** 10918538
- **Project number:** 1R43AG084385-01A1
- **Recipient organization:** CLEAR SESSION, INC.
- **Principal Investigator:** Carl Haacke
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $499,796
- **Award type:** 1
- **Project period:** 2024-09-25 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10918538

## Citation

> US National Institutes of Health, RePORTER application 10918538, Personalized visualization tool to improve communication between clinicians, Latinos with ADRD, and their care partners (1R43AG084385-01A1). Retrieved via AI Analytics 2026-06-05 from https://api.ai-analytics.org/grant/nih/10918538. Licensed CC0.

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