Evidence & Research

The research behind HealthHub at Home

We built HealthHub at Home on numbers we didn't invent. Here's what the published data says today, and what we're actively researching in collaboration with the MedStar-Georgetown Collaborative Center for Artificial Intelligence in Healthcare Research and Education (AICoLab).

What the data says today

Sourced, not invented

47.8M

Family caregivers in the U.S. are under strain

Source: AARP, Caregiving in the U.S. 2025

26.6%

Of caregivers report poor general health

Source: AARP, Caregiving in the U.S. 2025

20.9%

Report poor mental health

Source: AARP, Caregiving in the U.S. 2025

14.1%

Report poor physical health

Source: AARP, Caregiving in the U.S. 2025

1 in 5

Americans will be 65+ by 2030 — over 70M people

Source: World Health Organization

765K+

Professional caregiver openings projected each year

Source: U.S. Bureau of Labor Statistics

151K

National shortage of direct care workers by 2030 (355K by 2040)

Source: PHI National

$5K

Average cost to replace one professional caregiver

Source: Activated Insights

Where it comes from

The sources we draw on

AARP — Caregiving in the U.S. 2025

The core dataset behind our caregiver health and burnout figures.

View source

U.S. Bureau of Labor Statistics

Employment projections for home health and personal care aides.

View source

PHI National

Direct care workforce shortage research and policy analysis.

View source

Activated Insights

Industry data on the true cost of caregiver turnover.

View source

World Health Organization

Global aging population trends and healthcare demand.

View source

ODPHP — Healthy Aging Initiative

Social determinants of health research for older adults.

View source

Our own research, in progress

What we're actively building the evidence base for

These are live research threads with AICoLab, not placeholders — we'll publish findings here as they're ready.

In progress

Caregiver Wellbeing in Home-Based Care

An overview of mental and physical health outcomes among 4.6M direct care workers in the U.S.

POC complete — fine-tuning in progress

Early Detection of Caregiver Burnout with AI

How Bernie, our predictive model, leverages real-time data to identify burnout risk before crisis. The proof-of-concept model is complete; fine-tuning is in progress.

In progress

Building Nimble Home Care Teams

Models for flexible, on-demand multidisciplinary teams centered on the home.

In progress

Gamified Recognition for Direct Care Workers

Evaluating engagement and retention impact of milestone-based reward systems.