PDPM Margin Optimization Guide for Skilled Nursing Facilities

Updated December 2025 • 12 min read

Introduction: The Margin Problem

Most skilled nursing facilities don't know their true admission margins until weeks after discharge—if they ever calculate them at all. By then, a money-losing admission has already consumed staff time, bed days, and clinical resources that could have gone to a more viable patient.

Since PDPM replaced RUG-IV in October 2019, the margin calculation has become more complex but also more predictable. Each patient's reimbursement is driven by five distinct components, all derived from clinical characteristics captured in the MDS assessment. This means the information you need to estimate margins exists in the discharge packet—you just need a systematic way to extract and analyze it.

This guide covers:

Who This Guide Is For: CFOs, Administrators, Directors of Admissions, and anyone involved in SNF financial operations or admission decisions.

Understanding the 5 PDPM Components

PDPM calculates a daily rate by summing five separately-scored components. Each component is classified based on patient characteristics documented in the MDS 3.0 assessment.

Component Primary Drivers Rate Impact
Physical Therapy (PT) Section GG functional scores, clinical category Varies by functional tier
Occupational Therapy (OT) Section GG functional scores, clinical category Varies by functional tier
Speech-Language Pathology (SLP) Cognitive impairment, swallowing disorders, SLP-related conditions Varies by classification
Nursing Clinical category, extensive services (ventilator, isolation, etc.) Largest component
Non-Therapy Ancillary (NTA) NTA comorbidities, HIV/AIDS, extensive services Wide range between tiers

Note: CMS publishes updated PDPM rate tables annually. See the CMS SNF PPS page for current rates.

Physical Therapy (PT)

PT reimbursement is driven primarily by the patient's functional status as documented in Section GG of the MDS. Patients with greater functional impairment (lower Section GG scores) classify into higher-paying PT groups.

Key factors:

Occupational Therapy (OT)

OT uses the same Section GG functional scores as PT but weights them differently, with more emphasis on self-care activities. The clinical category also influences classification.

Speech-Language Pathology (SLP)

SLP classification depends on cognitive function, swallowing status, and the presence of SLP-related conditions like aphasia or apraxia. Mechanically altered diets and tube feeding also influence classification.

Nursing

The nursing component often represents the largest portion of the daily rate. It's driven by:

Non-Therapy Ancillary (NTA)

NTA is often the biggest margin lever because it's the most frequently under-coded component. NTA captures high-cost clinical conditions that require ancillary resources:

Margin Insight: NTA has the widest range between tiers of any PDPM component. A patient incorrectly classified at the lowest NTA tier instead of the highest can leave hundreds of dollars per day on the table. Over a typical stay, that adds up to thousands in lost revenue from a single documentation gap.

Common PDPM Margin Leaks

Most facilities have systematic margin leaks they don't know about. These four are the most common:

1. Missing NTA Conditions

NTA conditions present in the hospital discharge summary often don't make it into the MDS. This happens when:

Example: A patient admitted for pneumonia with IV antibiotics qualifies for NTA points, but if the IV is discontinued before the ARD and not documented in the MDS lookback period, those points are lost.

2. Under-Coded Section GG Functional Status

Section GG scores directly drive PT and OT reimbursement. Under-coding happens when:

3. Payer Denials and Prior Authorization Gaps

Not all payers reimburse at PDPM rates, and many require prior authorization. Margin leaks occur when:

4. Length of Stay Misalignment

PDPM includes variable per-diem adjustments (VPAs) that reduce therapy rates as length of stay increases. Margin leaks occur when:

Stop Guessing at Admission Margins

AdmitScore analyzes discharge packets and calculates projected PDPM margins in minutes—before you commit to the admission.

See How AdmitScore Works

How Payer Mix Affects Your Margins

The same patient can generate vastly different margins depending on their payer. Understanding payer variance is critical for admission decisions.

Medicare Fee-for-Service (FFS)

Medicare FFS pays the full CMS-published PDPM rates. It's the gold standard for predictability:

Medicare Advantage (MA)

Medicare Advantage plans negotiate their own rates and terms:

MA Rate Example: If a Medicare Advantage plan pays 85% of FFS rates, a 20-day stay can generate significantly less revenue than the same patient under traditional Medicare—with potentially higher denial risk on top of the rate discount.

Medicaid and Managed Medicaid

Medicaid rates vary dramatically by state and are often significantly below Medicare:

Payer Type Typical Rate (% of FFS) Authorization Margin Risk
Medicare FFS 100% None Low
Medicare Advantage 85-95% Often required Medium
Medicaid (state) 40-70% Varies High
Managed Medicaid 45-65% Usually required High

Standardizing Admission Decisions

The Problem with "Gut Feel" Admissions

Most admission decisions are made quickly, under pressure, with incomplete information. The typical process:

  1. Hospital calls with a referral
  2. Admissions coordinator reviews discharge packet (if there's time)
  3. Clinical team assesses whether they can care for the patient
  4. Decision is made based on bed availability and general "viability"

What's missing: any systematic analysis of the financial margin.

This leads to two costly outcomes:

Building an Admission Scoring Framework

A margin-aware admission framework should answer four questions:

1. What's the projected reimbursement?

2. What's the expected length of stay?

3. What are the expected costs?

4. What's the projected margin?

Balancing Margin vs. Occupancy

Margin optimization doesn't mean rejecting every challenging admission. Consider:

The goal isn't to maximize margin on every admission—it's to make informed decisions with clear visibility into the financial implications.

Tools and Next Steps

Implementing margin-aware admission decisions requires either dedicated analyst time or purpose-built tools. Here's how facilities typically approach it:

Manual Approach

Automated Approach

About AdmitScore: AdmitScore is an AI-powered admission decision support tool built specifically for skilled nursing facilities. It analyzes discharge packets, extracts PDPM-relevant clinical data, and calculates projected margins in minutes. Admissions teams get a clear Accept/Review/Decline recommendation with transparent margin calculations.

Getting Started

Whether you implement manual processes or adopt specialized tools, the first step is the same: start tracking your admission margins.

  1. Audit recent admissions: Pick 10 recent Medicare admissions and calculate actual vs. expected margins
  2. Identify leaks: Look for patterns in under-coded NTA, Section GG, or payer-related losses
  3. Set margin thresholds: Define what constitutes an acceptable admission at your facility
  4. Standardize the process: Whether manual or automated, create a consistent workflow for every admission

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Frequently Asked Questions

What is PDPM and how does it affect SNF reimbursement?

PDPM (Patient-Driven Payment Model) is Medicare's reimbursement system for skilled nursing facilities, implemented in October 2019. It calculates daily rates based on five components: Physical Therapy (PT), Occupational Therapy (OT), Speech-Language Pathology (SLP), Nursing, and Non-Therapy Ancillary (NTA). Each component is scored based on patient characteristics from the MDS assessment, meaning accurate clinical documentation directly impacts your reimbursement.

Which PDPM component has the biggest impact on margins?

The Non-Therapy Ancillary (NTA) component often has the biggest margin impact because it's the most frequently under-coded. NTA captures conditions like IV medications, wound care, and respiratory therapy. Many facilities miss NTA-qualifying conditions that are present in discharge documentation but not captured in the MDS, leaving significant reimbursement on the table.

How can I estimate PDPM margins before admitting a patient?

Pre-admission margin estimation requires analyzing the discharge packet for PDPM-relevant clinical indicators, estimating reimbursement across all five components, factoring in expected length of stay, and comparing projected revenue against your facility's cost structure. Tools like AdmitScore automate this process by extracting clinical data from discharge documents and calculating projected margins in minutes.

What's the difference between Medicare FFS and Medicare Advantage PDPM rates?

Medicare Fee-for-Service (FFS) pays the full CMS-published PDPM rates. Medicare Advantage (MA) plans negotiate their own rates, which typically range from 85-95% of FFS rates. Some MA plans use different payment methodologies entirely. This variance means the same patient can generate significantly different margins depending on their payer, making payer verification critical before admission.

How do I know if my facility is leaving money on the table with PDPM?

Common signs include: NTA scores consistently at the lowest tier, Section GG functional scores that don't reflect actual patient acuity, high denial rates for therapy services, and admissions decisions made without margin analysis. Comparing your average PDPM case-mix index against regional benchmarks can also reveal optimization opportunities.