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S10.AI
← All case studiesInternal Medicine · Multi-specialty

S10.AI saves 2+ hours daily across a multi-provider practice

Dr. Smriti Choudary's multi-provider practice rolled S10.AI across the entire team — recovering more than two clinical hours per provider every day.

Clinician

Dr. Smriti Choudhary

Lead Physician

Practice

Primary Care Centre of Clear Lake

8 physicians, 5 nurse practitioners

EHR integration

Practice Fusion

Live in <7 days

Compliance

HIPAA · SOC 2

BAA included

2.1h

Saved / provider / day

14 days

Group-wide rollout

-58%

After-hours charting

The challenge

A high-volume multi-provider clinic faced growing documentation burdens that threatened care quality and staff retention.

Each provider spent 2–3 hours daily completing charts; documentation quality varied widely across providers.

Before S10.AI

  • Note quality varied by provider — admin spent hours each week on QA and code review.
  • Front office was buried under refill requests and inbound scheduling.
  • After-hours charting was driving early burnout signals across the team.

After S10.AI

  • CRUSH deployed across every provider in two weeks, voice-preserving per clinician.
  • BRAVO took over inbound calls, refill triage and scheduling 24/7.
  • Admin dashboard rolled up usage, quality, and code-capture across the group.

Strategic implementation

How S10.AI was configured for this practice — without changing the clinician's workflow.

Phase 01

Voice-preserving rollout

CRUSH deployed to every provider in two weeks with per-clinician voice tuning so notes still read like the physician wrote them.

Phase 02

Standardised templates

Internal-medicine and obesity-medicine templates aligned across the group for consistent HPI, exam and A/P structure.

Phase 03

BRAVO front-office takeover

Inbound calls, refill triage and scheduling automated 24/7, freeing MAs and receptionists for patient-facing work.

Phase 04

Group operations dashboard

Admin rollups for usage, note quality, coding capture and after-hours charting per provider and per site.

Specialty-specific wins

What this team got that a generic AI scribe couldn't deliver.

  • Standardised IM documentation across 13 providers with zero loss of clinician voice.
  • Obesity-medicine GLP-1 monitoring and lifestyle-counseling templates built in.
  • Care-coordination handoffs auto-generated for sub-specialty referrals.
  • After-hours charting dropped to near-zero across the entire team.

The measurable shift

2.1h

Time recovered / provider / day

Audited over an 8-week post-rollout window.

-58%

After-hours charting

Most providers signing out by 5:30 pm.

+12%

Coding RVU lift

Standardised code capture across the entire group.

What the research says

AI-driven documentation efficiency

Studies show AI scribes can reduce charting time by up to 70%, standardise notes and improve inter-provider collaboration — a Stanford trial confirmed statistically significant reductions in task load and burnout.

Source · PubMed · Fierce Healthcare

Provider burnout & patient satisfaction

Mass General Brigham reported a 40% reduction in burnout at six weeks; MultiCare reported 63% lower burnout and 64% better work-life balance — both attributed to ambient AI scribing.

Source · McKnight's Home Care

EHR & safeguards

Integration

athenahealth — native integration with structured write-back.

Safeguards

All notes, orders and codes signed by the clinician. SOC 2 Type II, HIPAA-aligned, BAA in place.

Apply to your practice

In a practice your size, this story is worth…

Based on Dr. Smriti Choudary's outcome and conservative industry benchmarks (2h recovered / provider / day @ $220/hr opportunity cost).

Annual hours recovered

1,760

Across 4 providers · 220 clinic days

Estimated annual value

$387k

Conservative opportunity cost basis

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