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New Data: 75% Lower Rate of Major Injury from Falls with Nurse-Led, AI Predictive Care Model

September 23, 2026 by helpdesk1 |

Model helps personal care teams flag risk periods and intervene with staff coverage.

PHILADELPHIA, Sept. 23, 2026 /PRNewswire/ — BAYADA Home Health Care, a leading nonprofit home health care provider, today announced new data suggesting that falls are 75% less likely to result in major injury when a BAYADA Home Health Aide is present. The finding comes from BAYADA’s Enhanced Quality of Care model that helps older adults stay safe and well at home using 40+ client datapoints and predictive AI technology to inform nurse-led care coordination.

BAYADA Home Health Care highlights how caregiver presence, data-driven monitoring and clinical oversight help reduce fall-related injuries, with BAYADA data showing a 75% lower likelihood of major injury when a caregiver is present during a fall.

Introduced nearly a year ago, the care model now supports about 8,000 older adults nationwide who receive BAYADA’s private-pay personal care services.

Why This Matters

Falls are the leading cause of injury among older adults, and when a fall results in major injury, the consequences compound quickly.

One in four older adults report falling every year, and the average inpatient cost of a fall-related hospitalization is nearly $19,000. Such injuries can be followed by a recovery period and complications associated with a lasting loss of independence, even death.

Fear of falling can cause older adults to limit their activity and social engagement, accelerating the very decline they want to prevent. Reducing the severity of harm when falls occur is not only a clinical goal; it is central to preserving older adults’ independence and quality of life.

Data Show Presence Reduces the Severity of Harm

Since adopting this care model, BAYADA has observed a directional decline in falls with major injury—a significant drop of about one major injury per week and 58 major injuries per year among this older adult population.

Improved Outcomes Without Increased Spending

For an industry facing chronic workforce shortages and cost pressures, the most compelling implication may be the real possibility of improving outcomes without increasing spending.

BAYADA’s AI-predictive technology helps nurse clinical managers identify an individual’s high-risk periods—getting up in the morning, bathing, or other routine moments where a fall has occurred before—and supports staffing those hours. The goal is not more care hours, but the right care hours.

“The measurable impact of home care happens one intervention and one improved outcome at a time,” said Matthew Kroll, BAYADA Practice President, Personal Care Services. “This early trend tells us that when nurses and their care teams can see risk coming and act on it, our clients benefit. Falls are where we have the clearest data today, but this model is about anticipating risk more broadly—and intervening with the right care at the right time.”

A Story of Client Success

In the six months before Debra Chapman initiated personal care services at home, she fell 26 times—so often, that police and EMTs became familiar responders. Those falls were traumatic and sometimes led to inpatient hospitalization. In the past year, with BAYADA Certified Home Health Aide Felicia Washington caring for her, Debra has fallen only twice—both times, without injury.

“I couldn’t be any more confident in Debbie’s safety when I’m away,” said Dave, Debra’s husband.

Debra credits Felicia directly.

“I have BAYADA’s very best person here, and I hope she never leaves. She’s just a special person to me, and I love her dearly. Made a big difference in my life.”

— Debra Chapman, BAYADA personal care client

Debra has returned to the parts of life she had put on hold—lunches with friends, church choir and Bible study, even a family road trip to Florida.

Looking Ahead, Expanding Access

BAYADA is partnering with payers to develop a similar risk model for Medicaid clients, bringing this nurse-led, data-informed approach to a broader population. Meanwhile, BAYADA continues to study and refine its existing Enhanced Quality of Care model in collaboration with third-party researchers and technology partner, AlayaCare.

Setting a New Bar for an Unmeasured Industry

Home care has no accepted industry benchmark for falls or fall-related harm. In its absence, BAYADA is measuring outcomes against its own historical performance—building a discipline of continuous improvement where the industry has not yet defined a standard.

Falls are one of the first areas where BAYADA has structured outcomes data, and this early signal points to the model’s broader potential—though the company is careful to note the statistics are preliminary and not yet independently validated.

Visit BAYADA’s Enhanced Quality of Care page for more information.

ABOUT BAYADA

BAYADA is a global leader in home health care, providing high-quality nursing, therapy, rehabilitation, hospice, and personal care services for people of all ages and abilities.

A nonprofit built on the values of compassion, excellence, and reliability, BAYADA is leading a movement to transform care delivery so millions of individuals in need can stay safe at home with comfort, independence, and dignity.

Sources:

CDC, Older Adult Falls Data (2026)
National Council on Aging, Get the Facts on Falls Prevention (2026)
Reider et al., Injury (2024) 

Media Contact:
Kristen Kirkpatrick
419.350.4963
423188@email4pr.com 

Felicia Washington, BAYADA CHHA with her client, Debra Chapman

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/new-data-75-lower-rate-of-major-injury-from-falls-with-nurse-led-ai-predictive-care-model-302886860.html

SOURCE BAYADA Home Health Care

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