Case Study • Network Capacity

Unlocking Network Capacity: A Data-Driven Analysis of AI Infrastructure Deployment

In a pilot study of 26 providers at a Family Practice Group, the implementation of Next Health AI (AI Scribe + AI Agents) generated a total incremental capacity value of $1.57M annually. By reducing documentation friction and administrative overhead, the network achieved an aggregate 18.4× ROI on technology spend.

The network challenge

Systemic issues common across provider networks

Provider burnout

High documentation burden leading to “pajama time” and risk of physician attrition.

Stagnant access

Fixed appointment slots due to administrative bottlenecks, limiting new patient volume.

Revenue leakage

Inconsistent documentation contributing to higher-than-average denial rates (pre-pilot ~12%).

Network-wide results (Difference-in-Differences)

Incremental gains vs a control group

Power metrics

  • Capacity creation: +1.8 hrs saved/week → +3,490 hrs/year (N=26)
  • Volume growth: +16 encounters/week → 19,900+ potential visits/year
  • Financial yield: +$116,640 revenue/year → $1,570,780 incremental value

Operational improvements

  • 22% reduction in referral drop-off
  • 15% faster time-to-first-appointment
  • 18% improvement in directory accuracy
  • 12% increase in clean-claim rates

Deep dive: top performer insights

The upper bound of transformation

User 378 (The Time Saver)

Achieved a 7.4× individual ROI by reducing after-hours work by 2.06 hours/week, significantly lowering burnout risk.

User 362 (The Volume Driver)

Leveraged administrative “abundance” created by AI agents to handle 16+ additional encounters/week, demonstrating how infrastructure drives outsized returns for high-growth clinicians.

What this means

Network average performance is strong — and “super users” show the ceiling when enablement and workflows are fully adopted.

The flywheel effect for MSOs / IPAs

Why “free infrastructure” compounds

1) Retention

Reduced burnout (documentation time compressed toward near-zero) helps prevent the ~$750K cost of replacing a single physician.

2) Productivity + revenue integrity

Reclaimed time increases patient access without hiring, while AI agents catch documentation gaps in real time to improve clean-claim rates and maximize value-based care bonuses.