Try free →
SNF / Post-acute

PDPM Section GG documentation 2026: AI scribe for SNF self-care and mobility coding

May 8, 2026 · 7 min read

Section GG of the MDS 3.0 drives PDPM reimbursement in skilled nursing. The 18 self-care and mobility items use a 6-point coding scale, and inaccurate documentation costs real money — CMS audits in 2024–2025 found average downcoding losses of $20–$60 per resident per day in mid-stay reassessments. Across a 60-bed facility, that's $400k–$1.3M/year lost.

AI scribe tools designed for primary care don't handle Section GG. Here's what works for SNF in 2026.

Section GG quick refresher

ScoreMeaning
06Independent (no helper)
05Setup or clean-up assistance only
04Supervision or touching assistance
03Partial / moderate assistance (helper does < half)
02Substantial / maximal assistance (helper does ≥ half but not all)
01Dependent (helper does all)
07/09/10/88Refused / not attempted (specific reason codes)

Items split into Self-Care (eating, oral hygiene, toileting hygiene, etc., 7 items) and Mobility (sit-to-stand, transfers, walking, stairs, etc., 11 items). The PDPM function score is computed across these and feeds the Nursing and PT/OT case-mix groups.

Where downcoding happens (real audit findings)

Why generic AI scribes break on Section GG

Primary-care scribes summarize visits into SOAP-style narratives. GG documentation is structured: each of 18 items needs a discrete numeric code with a supporting evidence note. The narrative format produces text like "patient required moderate assist with toileting" — but doesn't generate the score 03 nor flag whether it's GG0130C (toileting hygiene) vs GG0170A (roll left/right).

What you actually need: a scribe that listens to therapy/nursing observations, identifies which of the 18 GG items each statement maps to, suggests the score, and surfaces missing evidence for items the encounter didn't address.

2026 vendor reality for SNF Section GG

ToolSection GG supportNotes
PointClickCare + ai-MDSYes — built into MDS workflowEHR-native; not a "scribe" in the visit-recording sense, but auto-suggests GG codes from clinical notes
NetHealth OptimaYes — therapy modulePT/OT documentation drives GG mobility items
Apricot HealthYes — SNF-specific scribe (2025 launch)Newer; visit recording → GG suggestions; pilot before scaling
Olli HealthYes — PDPM-tuned scribeListens to caregiver-resident interactions during ADL care
Suki / Heidi / AbridgeNo native GG; requires custom promptingGeneric primary-care scribes; can be adapted with effort
DIY (Whisper + Claude)Yes via custom promptPrompt below; cheapest path for tech-comfortable shops

DIY Section GG prompt template

You are a Section GG documentation assistant for a skilled nursing facility.

Below is a transcript of a caregiver-resident interaction during ADL care.
Identify which of the 18 GG items the observations map to.
For each, suggest a score (06/05/04/03/02/01) with the supporting quote.
If an item is mentioned but evidence is ambiguous, mark it FLAG.
For items not mentioned in this interaction, list them as MISSING.

GG items to consider:
- GG0130A Eating
- GG0130B Oral hygiene
- GG0130C Toileting hygiene
- GG0130E Shower/bathe self
- GG0130F Upper body dressing
- GG0130G Lower body dressing
- GG0130H Putting on/taking off footwear
- GG0170A Roll left/right
- GG0170B Sit to lying
- GG0170C Lying to sitting on side of bed
- GG0170D Sit to stand
- GG0170E Chair/bed-to-chair transfer
- GG0170F Toilet transfer
- GG0170G Car transfer
- GG0170I Walk 10 feet
- GG0170J Walk 50 feet with two turns
- GG0170K Walk 150 feet
- GG0170L Walking 10 feet on uneven surfaces

Output JSON:
{
  "scored": [{"item": "GG0130A", "score": "04", "evidence": "..."}, ...],
  "flagged": [{"item": "...", "reason": "..."}],
  "missing": ["GG..."],
}

Transcript:
{transcript}

Pair this with Whisper transcription of caregiver narration during care delivery. Caregivers narrating "I'm helping you sit up... now we'll roll to the left side... let's get those legs over..." gives the scribe enough to score 5–8 items per care episode.

The PDPM assessment windows

AssessmentDayWhat's locked in
5-day MDSDay 1–5Initial PDPM rate (PT/OT, Nursing, NTA, SLP CMGs)
Interim Payment Assessment (IPA)Optional, when status changesUpdates PDPM rate going forward; can rescue downcoded 5-day
Discharge MDS (PPS)Day of dischargeQuality-of-care reporting; affects HHVBP for some discharges

The 5-day window is where AI scribe ROI concentrates — that's when GG drives 30+ days of payment. Sloppy GG at 5-day costs the entire stay's revenue.

Cost vs revenue math

An AI scribe correctly catching 80% of those errors saves ~$195k/year. Tool cost (Apricot, Olli, or DIY): $5k–$30k/year. ROI is 5–40×.

Audit risk to track

Caregiver narration to GG documentation — $0.05/min

Bring your own LLM for GG mapping. BAA on request.

Transcribe a file →