ElderCare Connect — Home health aide agency, 200 caregivers
AI deployment blueprint for Home health aide agency, 200 caregivers. Automates home health scheduling using Airtable, Twilio, Google Maps, Claude.
AI Readiness Score
Structured caregiver and client data in Airtable, but likely needs cleanup and standardization.
Semi-technical team with existing Claude usage shows AI comfort. May need external support for complex integrations.
$2K-5K/month budget is adequate for 3-4 agent implementation with reasonable model costs.
Clear repetitive processes in scheduling, verification, and communication. Well-defined business rules.
3-4 months is realistic for phased rollout, though healthcare compliance may add complexity.
Airtable and Twilio APIs are mature and well-documented. Google Maps integration is straightforward.
How This System Works
Architecture
Airtable-centric system with Claude agents handling scheduling optimization, visit verification, family communication, and emergency coordination via Twilio and Google Maps integrations
Data Flow
Caregiver and client data flows from Airtable through Smart Scheduler for optimal assignments. Visit Verifier processes real-time location data to confirm service delivery. Family Communicator sends proactive updates while Emergency Coordinator handles urgent coverage needs.
Implementation Phases
Automate basic caregiver-client matching
Implement location-based visit confirmation
Add proactive communication and emergency handling
Prerequisites
- -Clean caregiver skill and certification data
- -Standardized client address geocoding
- -Family contact preferences setup
- -Emergency response protocols defined
Assumptions
- -Caregivers will adopt mobile check-in process
- -Families are receptive to SMS updates
- -Current Airtable data quality is reasonable
- -HIPAA compliance requirements are managed separately
Recommended Agents (4)
How It Works
- 1Receive scheduling request from Airtable
New client intake or schedule change triggers webhook
Airtable API - 2Analyze caregiver pool for optimal matches
Consider skills, location, availability, client preferences, continuity
Claude - 3Calculate travel times and optimize routes
Ensure efficient caregiver routing and realistic schedules
Google Maps API - 4Update schedule in Airtable with assignments
Create optimized schedule with backup options
Airtable API
Data Flow
Inputs
- Airtable — Client needs, caregiver profiles, current schedules(JSON)
- Google Maps — Travel times and distances(JSON)
Outputs
- Airtable — Updated schedule assignments and recommendations(JSON)
Prerequisites
- -Clean caregiver skill data
- -Client preference standardization
Error Handling
Alert management and suggest overflow options
Retry with exponential backoff, manual fallback
Integrations
| Source | Target | Data Flow | Method | Complexity |
|---|---|---|---|---|
| Airtable | Smart Scheduler | Bidirectional schedule data | webhook | moderate |
| Google Maps API | Visit Verifier | Location verification | api | low |
| Twilio | Family Communicator | SMS messaging | api | low |
| Airtable | Emergency Coordinator | Real-time schedule updates | webhook | moderate |
Schedule
0 18 * * *0 6,14,22 * * **/15 * * * *Recommended Models
| Task | Recommended | Alternatives | Est. Cost | Why |
|---|---|---|---|---|
| Schedule Optimization | Claude Sonnet 3.5 | GPT-4 | $60/month | Complex multi-constraint optimization with healthcare context |
| Visit Verification | Claude Haiku | GPT-3.5 | $25/month | Simple location validation and status updates |
| Family Communication | Claude Sonnet 3.5 | GPT-4 | $40/month | Empathetic communication requiring healthcare sensitivity |
| Emergency Coordination | Claude Sonnet 3.5 | GPT-4 | $35/month | Critical decision-making under time pressure |
Impact
What Changes
Quality Gains
- ✓More consistent caregiver-client matching
- ✓Better family communication and satisfaction
- ✓Reduced scheduling conflicts and gaps
- ✓Improved billing accuracy and compliance
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What's next?
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