SLAtech AI Medical
94/100BAA-eligible, FHIR-conformant, polished Hebrew RTL
Medical eval scoreboard
SLAtech AI Medical: 94/100
Reproducible 200-question Med-specific eval harness. +23-point lift vs generic SLAtech-Business (71/100). Driven by clinical-safety guardrails, HIPAA-compliance posture, и structured patient intake. Пара с umbrella eval scoreboard, Med glossary и Med FAQ.
Score breakdown по category
| Category | Med-tuned | Generic | Lift |
|---|---|---|---|
| Clinical-safety guardrails Symptom-triage queries routed к human-handoff где clinical advice would be UPL-adjacent. Generic chatbots attempt direct diagnosis (failure). |
98 | 64 | +34 |
| Patient intake quality Structured intake captures reason для visit, insurance, allergies, medications. Generic chatbots dump intake в unstructured free-text. |
95 | 73 | +22 |
| HIPAA compliance posture PHI redaction at ingest, BAA-eligible single-tenant option, audit-log per-action. Generic chatbots не ship PHI redaction. |
97 | 58 | +39 |
| FHIR / EMR integration queries FHIR Patient / Appointment / Practitioner / Encounter resources. Generic chatbots can't quote EMR slot availability. |
92 | 67 | +25 |
| Multilingual clinical (HE / RU) Generic chatbots actually scores higher здесь due к broader auto-translate coverage. Med-specific terminology в Hebrew / Russian — continuing investment area. |
88 | 92 | -4 |
Competitor comparison
Intercom Fin (generic)
67/100Не BAA-eligible by default, English-first, нет FHIR integration
Ada (mid-market enterprise)
78/100SOC 2 Type II но weaker FHIR integration, implementation-consultant required (6-12 weeks)
Tidio Lyro (generic SMB)
58/100Нет HIPAA compliance, нет Hebrew RTL polish, conversation cap на lower tiers
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