Methodology
How we calculate the numbers we publish.
Every outcome metric on synaptisusa.com comes from production deployment data. This page documents the source, sample size, time window, and method for each.
Last reviewed:
Published metrics
| Metric | Source | Sample size | Time window | Method |
|---|---|---|---|---|
| Scribe accuracy 99.2% | Production AXIFI scribe deployments | n = ~42,000 visits | Q1 2026 rolling 90 days | Word-error-rate against clinician-finalized note, averaged across 30+ specialties |
| 6.2 hrs saved per provider per week | Provider time-tracking across 4 partner clinics | n = ~180 providers | Q4 2025 – Q1 2026 | Pre/post deployment timesheet delta on documentation + inbox + prior-auth tasks |
| 41% fewer dropped handoffs | Care-coordination pilots | n = ~3,200 referral episodes | 90-day pilot windows across 3 clinic networks | Dropped = no specialist contact within 14 days of referral |
| 96% same-day note completion | AXIFI scribe deployments | n = ~42,000 visits | Q1 2026 rolling 90 days | Note signed by clinician within 24 hours of visit close |
| 1.8 days avg specialist response | Care-coordination cohort | n = ~3,200 episodes | Same as 41% dropped-handoff cohort | Mean time-to-specialist-contact post-referral |
| 3.4× higher patient reply rate | Patient engagement deployments | n = ~12,000 patients | Q1 2026 | Reply rate on Synaptis journey vs SMS-only control cohort, same clinics |
| 99.9% platform uptime | AXIFI platform | Full SLA window | Rolling 12 months | Synthetic + real-user availability monitoring on the AXIFI control plane |
Scribe accuracy 99.2%
- Source
- Production AXIFI scribe deployments
- Sample
- n = ~42,000 visits
- Window
- Q1 2026 rolling 90 days
- Method
- Word-error-rate against clinician-finalized note, averaged across 30+ specialties
6.2 hrs saved per provider per week
- Source
- Provider time-tracking across 4 partner clinics
- Sample
- n = ~180 providers
- Window
- Q4 2025 – Q1 2026
- Method
- Pre/post deployment timesheet delta on documentation + inbox + prior-auth tasks
41% fewer dropped handoffs
- Source
- Care-coordination pilots
- Sample
- n = ~3,200 referral episodes
- Window
- 90-day pilot windows across 3 clinic networks
- Method
- Dropped = no specialist contact within 14 days of referral
96% same-day note completion
- Source
- AXIFI scribe deployments
- Sample
- n = ~42,000 visits
- Window
- Q1 2026 rolling 90 days
- Method
- Note signed by clinician within 24 hours of visit close
1.8 days avg specialist response
- Source
- Care-coordination cohort
- Sample
- n = ~3,200 episodes
- Window
- Same as 41% dropped-handoff cohort
- Method
- Mean time-to-specialist-contact post-referral
3.4× higher patient reply rate
- Source
- Patient engagement deployments
- Sample
- n = ~12,000 patients
- Window
- Q1 2026
- Method
- Reply rate on Synaptis journey vs SMS-only control cohort, same clinics
99.9% platform uptime
- Source
- AXIFI platform
- Sample
- Full SLA window
- Window
- Rolling 12 months
- Method
- Synthetic + real-user availability monitoring on the AXIFI control plane
Methodology principles
Metrics are computed from anonymized production data with prior customer authorization. We publish numbers we can defend in a clinical review. Where data is sparse, we say so. If a metric drops below the published value for two consecutive measurement windows, we update this page within 30 days.