Transforming Home Care Through Intelligent Innovation
The Visiting Aid AI Strategy Roadmap vision for building the most intelligent, proactive, and caregiver-empowering home-care platform in the industry. Our roadmap shows how we are moving beyond traditional EVV and scheduling to create a fully adaptive ecosystem where AI enhances every aspect of care—supporting caregivers, improving client outcomes, increasing transparency for families, and strengthening agency operations.
Across three strategic phases—Automation, Predictive Care, and Intelligent Coordination—Visiting Aid is developing tools that reduce documentation burden, predict health risks before they escalate, automate compliance, and deliver personalized insights for clients, families, and administrators. This roadmap demonstrates our commitment to building a future where home care is smarter, safer, and more connected, ensuring every client receives the right care at the right time.
Foundation & Automation
Automate administrative burden and give caregivers real-time support.
1. AI Documentation & EVV Enhancements
• AI-generated visit notes from simple caregiver prompts or voice dictation.
• Auto-categorization of tasks based on caregiver narrative.
• Smart compliance alerts (missing signatures, out-of-range visit time, incorrect service code).
2. AI Caregiver Assistant
• In-app chat assistant answering care questions (“How do I do a safe transfer?”).
• Step-by-step guidance from the care plan.
• On-shift reminders (hydration, turning schedules, vitals).
3. AI Scheduling Optimization
• Predictive shift matching: based on availability + history + travel distance.
• Auto-fill open shifts using ranking logic.
• AI forecasting of call-outs (behavioral patterns).
4. Operational AI for Admins
• Draft policies, care-plan language, corrective actions, authorization letters.
• Summaries of client condition trends (e.g., appetite decline over past 4 weeks).
Proactive Care & Predictive Analytics
Move from reactive home care to predictive home care.
1. Health Decline Prediction
Using patterns from:
• Mobility notes
• Missed visits
• Caregiver observations
• Mood / speech pattern changes
Visiting Aid predicts risks:
• Fall risk
• Dehydration risk
• Hospitalization probability
• Behavioral changes (dementia progression)
2. Dynamic Care Plan Intelligence
• AI adjusts care-plan recommendations automatically (admin reviewed).
• Suggests tasks: “Increase hydration reminders to 3× per shift.”
• Identifies missing services: “Consider PT evaluation based on gait changes.”
3. AI Family Transparency Portal
• Natural-language visit summaries sent to family.
• Explain changes in client behavior in simple terms.
• Risk alerts (“Your mom’s mobility is trending downward; consider additional support.”)
4. State & Insurance Compliance Intelligence
• Auto-updates state EVV rules.
• Prepares audit-ready documentation packets tailored to each Medicaid program.
• Detects documentation inconsistencies before payers notice.
Adaptive Intelligent Care Ecosystem
Visiting Aid becomes an AI-driven care coordination ecosystem.
1. AI-Orchestrated Care Coordination
AI functions like a digital case manager:
• Schedules extra visits when high-risk patterns appear.
• Suggests referrals (SN, PT, OT, SW).
• Notifies family + agency in early decline cases.
2. Autonomous Documentation (EVV Optional System)
• Presence and activity detected through device signals (privacy-safe).
• Documentation is auto-generated from context.
• Caregivers only review & confirm.
3. Robotics + Smart Home Integration
• Integrates with basic home robots for mobility, reminders, lifting help.
• AI monitors interaction patterns to update care plans.
4. Value-Based Care Reporting
• Outcomes dashboards required by future Medicaid programs.
AI tracks:
• Hospitalization prevention
• ADL improvement
• Cognitive/behavioral stability
• Caregiver performance impact