The challenge
Primary care practices on legacy, non-cloud EHRs face heavy documentation hurdles — high visit volume, multimorbidity, longitudinal care.
Before S10.AI, clinicians spent 30–45 minutes per encounter documenting histories, assessments, orders and patient education.
Before S10.AI
- Charting on a legacy athenaPractice install consumed 2–3 hours after every clinic day.
- An EHR migration was off the table — too expensive, too disruptive, too risky for a busy primary-care panel.
- Note quality was inconsistent and HCC capture was leaking real RVU on every encounter.
After S10.AI
- Deployed CRUSH on the existing athenaPractice install via RPA-driven write-back — no schema changes, no migration.
- Specialty-tuned primary-care templates went live on day one, with HCC and chronic-care prompts inline.
- Voice-preserving model trained against Dr. Wainer's own dictation style in the first week.



