AI Platform
AI Built on DME Logic, Not Generic Models
CareLogix AI is a dispatcher's copilot, not a black box. Every AI capability is built on deep understanding of DME field operations, including HCPCS codes, credential requirements, payer rules, and the real-world constraints of running a mobile healthcare workforce.
"AI should make your best dispatcher faster, not replace your worst one. Every AI action in CareLogix is reviewable, reversible, and auditable."
CareLogix AI philosophy
Capabilities
Three AI Engines. One Operational Platform.
Each AI capability solves a specific operational bottleneck. Together they eliminate the manual work that keeps DME providers from scaling.
Document Intelligence
Faxed referrals are the starting point of nearly every DME work order. CareLogix Document Intelligence processes scanned referrals and extracts structured data including patient demographics, ICD-10 diagnosis codes, HCPCS equipment codes, payer information, physician NPI, and ordering details.
How It Works
- Handles handwritten, typed, and mixed-format faxed documents
- Extracts and validates ICD-10 codes against diagnosis databases
- Maps HCPCS codes to equipment categories and delivery requirements
- Identifies payer and prior authorization requirements
- Matches extracted data against existing patient records to prevent duplicates
- Pre-fills work orders with extracted data for human review before acceptance
Route Intelligence
Building routes for field technicians is not just a driving distance problem. CareLogix Route Intelligence considers geographic proximity, staff credentials and certifications, equipment on the truck, patient time windows, visit duration estimates, workload balancing, and real road network data.
How It Works
- Analyzes all unrouted work orders and available staff simultaneously
- Matches technician credentials to visit requirements (RT vs. DME tech)
- Clusters stops by geography using real road distances, not straight-line
- Balances workload across technicians to prevent overtime
- Optimizes route sequence to minimize total drive time
- Generates turn-by-turn directions and arrival time estimates using OSRM road data
Conversational SMS Intelligence
Patient communication in DME is not a one-way reminder. It is a conversation: scheduling visits, confirming availability, providing delivery windows, handling reschedules, and following up on compliance. CareLogix Conversational SMS Intelligence handles the full lifecycle.
How It Works
- Contextually aware of each patient's appointment, visit type, and assigned technician
- Handles natural language responses, so "can we do Thursday instead?" triggers a reschedule workflow
- Sends en-route notifications with real-time ETA updates
- Manages post-visit satisfaction surveys and compliance follow-ups
- Escalates to human staff when AI confidence is low or patient requests it
- Every AI-sent message is logged with the prompt, response, and confidence score
Governance
AI You Can Trust and Audit
Healthcare operations demand accountability. Every AI decision in CareLogix is transparent, reviewable, and traceable.
Human-in-the-Loop
AI extracts data from faxes, but a human reviews and accepts before it becomes a work order. AI builds routes, but a dispatcher reviews and approves before routes go live. AI responds to patient texts, and staff can take over any conversation at any time.
Explainability
Every AI decision comes with an explanation. Why was this technician assigned to this route? Because they hold the required RT credential, are closest geographically, and have capacity. Not "the algorithm decided."
Audit Trail on AI Decisions
Every AI action is logged: the input data, the model used, the output produced, the confidence score, and whether a human modified the result. Full traceability for compliance review.
Model Abstraction
CareLogix is not locked to a single AI vendor. Our architecture abstracts the model layer so we can use the best-performing model for each task, and switch providers without changing application code. No vendor lock-in.
Cost Transparency
AI processing has real costs: LLM inference, document OCR, and SMS messaging all cost money. CareLogix uses a transparent cost-plus pricing model for AI features. Each tenant gets their own API key with full visibility into usage. You pay the actual inference cost plus a clear margin, so you always know exactly what you are spending and why. No hidden markups, no opaque bundling.
Boundaries
What CareLogix AI Does Not Do
AI in healthcare demands clear boundaries. CareLogix AI handles operational logistics, not clinical care.
See AI in Action on Your Data
Send us a sample fax, a list of stops, or a patient communication scenario. We will show you exactly what CareLogix AI does with it.