MFM practice recovers $1.48M–$1.63M in year one with AI-powered coding.

The practice featured here operates as one of the largest Maternal-Fetal Medicine groups in its region, with thirty-five physicians across five specialty service lines and more than fifteen locations. The clinical work is high-acuity by definition.

MFM is among the most coding-intensive specialties in medicine. Global maternity packages require correct unbundling. Multi-fetus pregnancies require careful logic. Modifiers stack in ways generic platforms don't anticipate. Each of the practice's five service lines — from routine ultrasound through complex maternal-fetal cases — follows its own coding rules.

By the start of 2026, more than 600 charts per day were funneling through a single manual coding workflow. The same workflow handled routine ultrasounds and complex multi-fetus cases alike.

The Challenge, in summary, was fourfold: OB/MFM coding complexity: global maternity packages, bundling rules, modifiers, and multi-fetus logic across 5 service lines. Coders reviewing every chart — routine ultrasounds consuming the same bandwidth as complex MFM cases. Overtime and backlog from 600+ charts/day funneling through one manual process. 30% nationwide coder shortage making it harder to scale through headcount alone.

The Solution: Purpose-built for OB/MFM coding, not a generic LLM. 87% of charts handled by AI: freeing coders for complex cases — 3× increase in coder productivity. Overtime eliminated, ~2 hours/day reclaimed per coder. No EHR migration, no workflow disruption.

RapidClaims was deployed as a purpose-built autonomous coding layer for OB/MFM. No EHR migration. No workflow tear-down. The system reads each chart's documentation against current CPT, ICD, and E&M guidelines, and assigns codes on the cases where the rules are unambiguous, with full audit trails.

With autonomous coding handling the high-volume, straightforward charts end-to-end, the team's review time concentrated on the cases that require clinical judgment — complex MFM scenarios, bundling exceptions, and ambiguous documentation.

The headline rate of 87.6% straight-to-bill averages across all five service lines. The per-speciality breakdown shows Radiology at 100% and OBGYN at 82.1%, the latter including the most complex multi-fetus and global-package cases.

Across all five service lines, the engagement delivered combined estimated annual impact of $1.48M–$1.63M, an 87.6% straight-to-bill rate, CPT accuracy of 97.85% sustained above the human benchmark of 95–97%, and a 4.69% wRVU per-encounter uplift. Radiology straight-to-bill reached 100%; OBGYN settled at 82.1% including the most complex cases.

Across five service lines, RapidClaims delivered $1.48–1.63M in combined annual impact, 87.6% straight-to-bill, and 97.85% CPT accuracy — with overtime eliminated and ~2 hours/day reclaimed per coder.