Clinical Intelligence · SDOH · NEMT · Escort
Getting patients there.
Getting them home safe.
Raphael reads your patients' EHR data to identify who needs a ride to their appointment and who needs an escort home after a sedated procedure — then handles both, automatically.
Operated by Raphael Care OS, Inc.
The problem
Transportation is the #1 SDOH barrier to care.
The signals are already in the chart. Most systems never act on them.
3.6M
Americans miss care due to transport
Every year, transportation barriers lead to millions of missed appointments, delayed diagnoses, and avoidable hospitalizations.
SDOH
Data sits unread in the EHR
Transportation insecurity screenings, ICD-10 Z-codes, clinical notes — the risk signals exist. They just aren't being acted on.
$150B
Annual cost of no-shows
No-shows cost the U.S. healthcare system over $150 billion annually — most of it preventable with the right intervention.
What Raphael does
Two distinct problems. One platform.
Raphael solves the full access equation — not just getting patients to care, but ensuring they can safely leave it.
NEMT Intelligence
Getting patients there
Raphael reads SDOH signals, coverage data, attendance history, and clinical notes from your EHR to score every patient for transportation risk — then automatically queues high-risk patients for NEMT coordination through Kinetik.
- ✓Risk scoring from 9 clinical & SDOH categories
- ✓C-CDA document NLP with negation detection
- ✓Low / medium / high risk banding
- ✓Automatic Kinetik ride coordination
- ✓SMS appointment reminders & ride confirmations
Escort Management
Getting them home safe
Many procedures — colonoscopies, cataract surgeries, procedures under sedation — legally require a responsible adult escort home. Raphael detects these from CPT codes in the EHR, contacts the patient, and manages the full escort workflow before the appointment.
- ✓CPT-code detection across 8 procedure specialties
- ✓PHI-free SMS outreach before consent is collected
- ✓Patient portal for escort confirmation
- ✓Transport coordination for the escort companion
- ✓Clinical documentation: attestation, physician cert, discharge forms
NEMT · How it works
Intelligence-led ride coordination.
Raphael connects to your EHR, scores every patient against clinical and SDOH risk factors, and acts — automatically.
- 1
Connect to your EHR
Integrates with Epic and eClinicalWorks via FHIR, pulling appointments, coverage, conditions, observations, and clinical documents — no manual data entry.
- 2
Score every patient for transportation risk
Our rules-based scoring engine evaluates 9 clinical and social risk categories from structured FHIR data and parses C-CDA documents using keyword detection with negation handling.
- 3
Flag patients who need a ride
Patients are stratified into low, medium, and high risk bands. Those above the review threshold are automatically queued for NEMT coordination.
- 4
Book the ride, close the gap
Raphael coordinates the ride through Kinetik, confirms with the patient via SMS, and keeps your care team informed at every step.
NEMT risk signals
We read the chart. All of it.
The scoring engine evaluates structured codes, SDOH screenings, and free-text clinical notes to build a complete picture of each patient's access barriers.
Transportation insecurity screening
Detects positive SDOH transportation questionnaire responses and LOINC-coded observations.
Medicaid coverage
Identifies active Medicaid patients who may have a transportation benefit they aren't using.
Mobility limitations
Flags ICD-10 and SNOMED codes for visual impairment, hemiplegia, gait disorders, and wheelchair dependence.
Social & financial barriers
Detects Z-codes for housing instability (Z59.82), access barriers (Z75.3), and financial hardship (Z91.120).
High-risk post-discharge
Flags heart failure (ICD-10 I50) patients with cardiology follow-ups within 7 days of inpatient discharge.
No-show attendance patterns
Tracks missed and cancelled visits over the prior 6 months, weighted by recency.
Recurring visit cadence
Identifies patients with 3 or more upcoming appointments in the next 45 days — high-frequency care needs.
Uncontrolled diabetes
HbA1c above 9.0 is a proxy for disrupted routine care access — flagged as a compound risk factor.
Clinical document NLP
Parses C-CDA XML documents for transportation barriers, mobility aids, and no-show patterns — with negation detection.
Escort · How it works
From CPT code to confirmed escort — automatically.
Sedation procedures require a responsible adult escort. Raphael detects the need from the EHR and manages the full workflow before the patient ever walks in.
- 1
Detect from procedure codes
Raphael reads CPT codes from the appointment in your EHR. GI procedures, cataract surgeries, pain management, dental sedation, fertility, urology, and orthopedic ASC cases are all detected automatically.
- 2
Send a PHI-free SMS invite
Before consent is collected, a HIPAA-safe invite is sent to the patient letting them know an escort is required and directing them to a secure patient portal to confirm details.
- 3
Patient confirms via portal
The patient uses a tokenized portal link to provide SMS consent and confirm their escort arrangement. A full reminder is sent once consent is recorded.
- 4
Coordinate transport for the escort
Raphael books transportation for the escort companion — through Kinetik for Medicaid patients, Uber Health for others — and generates the required clinical documentation.
Procedure types detected
Who we serve
Built for providers who serve vulnerable populations.
Safety-net clinics & FQHCs
Purpose-built for federally qualified health centers and safety-net providers whose patients face the greatest SDOH barriers.
Care coordination teams
Surfaces actionable NEMT and escort risk so care coordinators and social workers can focus on the highest-need patients.
Value-based care organizations
Reduce preventable no-shows, ED visits, and care gaps to improve quality metrics and close SDOH-driven access disparities at scale.
Ready to close your SDOH transportation gap?
Reach out to learn how Raphael can connect to your EHR and start identifying at-risk patients today.
Contact Us