Illustration a laptop and a phone displaying analytics

We use data science and proprietary algorithms to identify, in real-time, risk for readmissions, avoidable use of acute care resources, and over-utilization of medical visits, procedures, and medications. Our proprietary psychometrics and assessment tools are adaptive, and powered by what matters today rather than by claims history alone.

Illustration of a phone displaying analytics

App-based mobile analytics
identifying pattern changes

Illustration of a phone displaying a survey

App-based smart surveys
identifying hospitalization risk

Illustration of a laptop displaying a flow chart

Web-based BH assessments
with branching logic


Care at Hand Saas Platform License

(Available to Select Partners)

A graph trending up

Predict hospitalization risk
in blind-spot between doctor
visits

An outline of three people

Prevent admissions using
existing frontline staff

Warning sign

Evidence-based smart
surveys identify EARLY
medical and psychosocial
warning signs


$9,056

Reduced Medicare A spending/beneficiary/year

39.6%

Reduced readmissions

257%

Return on investment

A graph of hospitalization risk A graph of hospitalization risk
  • Doctor visits inform episodic claims-based predictive models
  • Frontline staff surveys power Care at Hand predictive model