The earliest warning signs live in the home.

I have served as an executive director across assisted living, memory care, and home care operations. In every setting, I saw the same pattern: preventable health events strain client well-being, disrupt caregiver stability, and threaten agency sustainability.

Experienced operators learn to recognize the quiet precursors of decline: a slower gait where someone once walked steadily, a subtle shift in cognition, a skipped meal. Left unnoticed, these silent signals can end in avoidable hospitalizations, interrupted care plans, and caregiver hours that disappear overnight. The numbers show how common this is. About one in four older adults falls each year, and roughly one million of those falls lead to hospitalization.¹ Urinary tract infections drive hundreds of thousands of hospital admissions among older adults annually, many of them preventable with earlier detection.² The fundamental challenge is not a lack of effort or devotion. It is the difficulty of spotting subtle shifts early enough to act.

I founded PredictiCare to close that gap between observation and action.

PredictiCare is a visit management and caregiver scheduling system designed to streamline agency operations while supporting proactive client care. By pairing intelligent scheduling tools with an engine built on published clinical research, PredictiCare monitors routine caregiver visit records to track client health trends over time. The platform is designed to help care teams identify subtle signs of decline earlier and to suggest possible interventions for their consideration, with the goal of helping mitigate preventable health events, keeping clients safer at home, and creating more consistent schedules for caregivers.

From observation to action

Caregiver turnover remains the defining operational challenge in home care. In 2024, the median agency lost roughly three of every four caregivers, a seventy-five percent annual turnover rate,³ driven in large part by irregular schedules and the sudden loss of hours when clients enter acute care settings. PredictiCare approaches shift stability by unifying schedule management with health-trend monitoring: when clients remain stable at home, caregivers can maintain steadier hours, which supports long-term retention and agency continuity.

The monitoring engine applies insights from published clinical research to the documentation agencies already gather during standard visits. By structuring everyday visit logs into trend histories, the system is designed to give care managers clearer visibility into subtle changes, so teams can coordinate with families and medical providers and consider timely support. The aim is straightforward: help protect client independence, and help agencies run on foresight rather than crisis response.

 Founder and Chief Executive Officer