Mixpeek Logo
    Advanced
    Healthcare
    8 min read

    SNF Documentation Intelligence

    Reduce nursing documentation burden by 40%, auto-populate MDS 3.0 sections, optimize PDPM revenue capture, and streamline CMS survey readiness with multimodal AI for skilled nursing facilities.

    Who It's For

    SNF operators, MDS coordinators, directors of nursing, and post-acute care organizations managing clinical documentation across skilled nursing facilities

    Problem Solved

    Nurses spend 40% of their time on documentation instead of patient care. MDS coordinators manually abstract charts for 3-4 hours per assessment. PDPM revenue is left on the table because clinical severity is under-documented. CMS survey preparation requires weeks of manual chart review.

    Before & After Mixpeek

    Before

    MDS Completion

    3-4 hours of manual chart abstraction per assessment

    Documentation Time

    Nurses spend 40% of shift on charting and reconciliation

    Audit Preparation

    Weeks of manual review before CMS surveys

    PDPM Coding

    Under-documented severity from scattered unstructured data

    After

    MDS Completion

    Auto-populated sections with nurse review and sign-off

    Documentation Time

    Structured extraction reduces charting burden by 40%

    Audit Preparation

    On-demand evidence packages generated in minutes

    PDPM Coding

    Multimodal extraction captures full clinical severity

    Documentation Time Reduction

    40% of nurse shift24% of nurse shift

    -40%

    MDS Auto-Population

    Manual abstraction95% auto-populated

    95%

    Audit Prep Speed

    2-3 weeks< 1 day

    -70%

    PDPM Revenue Recovery

    $0 incremental+$37/patient/day

    +$37/pt/day

    Why Mixpeek

    Unlike EHR-native tools that only work with structured data, Mixpeek processes the full spectrum of clinical documentation — handwritten notes, scanned forms, photographs, and free-text entries. This multimodal approach captures the clinical nuance that determines accurate MDS coding and PDPM classification.

    Overview

    Skilled nursing facilities generate massive volumes of clinical documentation across dozens of formats — EHR entries, handwritten notes, scanned assessments, wound photographs, therapy logs, and medication records. MDS coordinators must manually abstract this data into 20+ MDS 3.0 sections for each of the ~2.5 assessments per resident per year. This manual process is slow (3-4 hours per assessment), error-prone (missed clinical indicators mean lost revenue), and creates a bottleneck that ripples through billing, compliance, and care planning. Mixpeek automates the extraction, structuring, and retrieval of clinical data across all modalities, enabling MDS auto-population, PDPM optimization, and on-demand audit readiness.

    Challenges This Solves

    Documentation Burden

    Nurses spend up to 40% of their shift on documentation — charting, transcribing, and reconciling records across systems — instead of providing direct patient care.

    Impact: Staff burnout, turnover rates above 50% industry-wide, and reduced quality of care for 1.3 million SNF residents

    PDPM Revenue Leakage

    Clinical severity is systematically under-documented because relevant data is scattered across unstructured notes, scanned forms, and photographs that billing systems cannot read.

    Impact: Average revenue gap of $2,840 per patient per day between documented acuity and actual clinical complexity

    CMS Survey Readiness

    Preparing for CMS surveys requires weeks of manual chart review to compile evidence for regulatory compliance across hundreds of residents.

    Impact: F-tag citations, financial penalties, and reputational damage from survey deficiencies

    MDS Coordinator Bottleneck

    MDS coordinators manually abstract charts for 3-4 hours per assessment, creating a bottleneck that delays billing submissions and care plan updates.

    Impact: Delayed reimbursement, inaccurate care plans, and coordinator burnout across 38K+ assessments per year for a mid-size chain

    Recipe Composition

    This use case is composed of the following recipes, connected as a pipeline.

    1
    Clinical Documentation Structuring

    Extract and structure clinical notes for MDS and regulatory workflows

    2
    PDF Data Extraction Pipeline

    Convert unstructured PDFs into structured data

    3
    Taxonomy Enrichment Pipeline

    Classify content into custom or IAB taxonomies

    Expected Outcomes

    40% less time on charting

    Documentation time reduction

    70% faster survey readiness

    Audit preparation speed

    95% of sections auto-populated

    MDS auto-population rate

    +$37 per patient per day

    PDPM revenue recovery

    Deploy SNF Documentation Intelligence

    Set up a clinical documentation pipeline for your skilled nursing facility. Ingest charts, extract clinical data, map to MDS sections, and build audit-ready retrieval — all through the Mixpeek API.

    Estimated setup: 2-4 weeks

    Frequently Asked Questions

    Ready to Implement This Use Case?

    Our team can help you get started with SNF Documentation Intelligence in your organization.