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    Reduce Documentation Burden. Recover Revenue. Pass Every Audit.

    SNFs lose hours to manual MDS coding and risk millions in missed PDPM captures. Mixpeek structures clinical content automatically so nurses care for patients, not paperwork.

    40%
    Less Doc Time
    95%
    MDS Auto-Population
    +$37
    Per Patient/Day PDPM
    75%
    Fewer F-Tags

    What You'll Achieve

    Measurable improvements across documentation, revenue, and compliance from day one.

    -40%
    Documentation Time

    Nurses reclaim 2-3 hours per shift for direct patient care

    95%
    MDS Auto-Population

    Sections G through Q populated from clinical content automatically

    +$37
    Per Patient/Day PDPM

    Capture clinical severity hidden in unstructured notes and photos

    -90%
    Survey Prep Time

    Generate CMS audit evidence packages in minutes, not weeks

    Solving Healthcare's Hair-on-Fire Problems

    Our multimodal AI platform tackles the most urgent, high-stakes challenges in healthcare and insurance, delivering immediate ROI while ensuring data security.

    The Mixpeek Difference

    Traditional systems only check structured claims data. Our approach correlates claims with clinical notes, imaging, and provider patterns, catching fraud that rule-based systems miss entirely.

    Pattern Detection
    Fraud Prevention
    Cross-Modal Analysis

    Multimodal Fraud Detection Process

    1
    Claims Ingestion
    2
    Cross-Reference Analysis
    3
    Anomaly Detection
    4
    Fraud Flagging

    Claims Fraud & Abuse Detection

    Leverage multimodal AI to analyze claims, clinical notes, and imaging data in concert to detect sophisticated fraud patterns.

    Key Benefits

    • Reduce fraudulent payouts by up to 30% in the first year
    • Identify complex fraud networks across providers and patients
    • Defend against evolving fraud tactics with continuous learning

    The Mixpeek Difference

    Current systems require manual document collection and review. We automatically surface relevant evidence from all data sources and match it to authorization criteria in real-time.

    Smart Extraction
    Real-time Matching
    Approval Prediction

    Automated Prior Auth Workflow

    1
    Request Intake
    2
    Evidence Extraction
    3
    Criteria Matching
    4
    Decision Support

    Prior Authorization Automation

    Accelerate approvals by automatically extracting and matching medical evidence from records, notes, and imaging to payer requirements.

    Key Benefits

    • Cut authorization turnaround time by 75%
    • Reduce physician admin time by 10+ hours per week
    • Improve patient satisfaction with faster approvals

    The Mixpeek Difference

    Manual chart review misses critical diagnoses buried in unstructured data. Our AI comprehensively scans all patient data to ensure accurate risk scores and defend against audits.

    Code Discovery
    Audit Defense
    Complete Coverage

    Risk Adjustment Optimization

    1
    Data Ingestion
    2
    Diagnosis Extraction
    3
    Code Validation
    4
    Documentation

    Risk Adjustment & Quality Scoring

    Improve coding accuracy by automatically surfacing diagnoses from EHRs, transcripts, and clinical imagery for HCC and quality reporting.

    Key Benefits

    • Increase risk score accuracy by 15% or more
    • Successfully defend 100% of audits with complete documentation
    • Reduce manual chart review costs by 60%

    Secure, On-Premise Deployment

    Your data is too sensitive to leave your control. Our entire platform can be deployed directly within your environment, ensuring full HIPAA compliance and complete data sovereignty.

    Featured Use Case

    MDS-Aligned Documentation for Nursing Homes

    Transform nursing home documentation with CMS-aligned automation. Reduce documentation time by 40%, accelerate audits by 70%, and auto-populate MDS sections.

    Turn Clinical Content into MDS-Ready Intelligence

    Automatically structure progress notes, incident reports, and wound photos into audit-ready documentation — without extra work from nursing staff.

    40% Less Documentation Time

    Reclaim 2-3 hours per shift for direct patient care

    70% Faster Audit Preparation

    CMS survey-ready packages in minutes, not weeks

    95% MDS Auto-Population

    Sections G, J, K, M, N, O, Q structured automatically

    MDS 3.0 Sections Covered

    G
    Functional Status
    J
    Health Conditions
    K
    Nutrition
    M
    Skin Conditions
    N
    Medications
    O
    Special Treatments

    Customer Success Stories

    See how leading healthcare organizations use Mixpeek to solve their most pressing data challenges and drive significant ROI.

    Major Health Insurer

    Reduced fraudulent payouts by 30% in the first year, saving $600M through multimodal AI analysis of claims, clinical notes, and provider patterns.

    Schedule a Demo

    Large Hospital Network

    Cut prior authorization turnaround time by 75% and reduced physician administrative overhead by 10 hours per week through automated evidence matching.

    Schedule a Demo

    Medicare Advantage Plan

    Improved risk score accuracy by 15% and successfully defended against 100% of audits through comprehensive AI-powered chart review.

    Schedule a Demo

    MeadowCare SNF Chain

    Achieved 95% MDS auto-population across 28 facilities, reduced chart abstraction time by 81%, and recovered +$37/patient/day in PDPM revenue through multimodal clinical documentation AI.

    Read Case Study

    More Healthcare Use Cases

    Explore how Mixpeek solves critical healthcare challenges across clinical documentation, medical imaging, and operational workflows

    Advanced
    8 min

    SNF Documentation Intelligence

    Automate MDS assessments and clinical documentation for skilled nursing facilities

    40% less time on charting

    Documentation time reduction

    Who It's For

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

    Resources

    Explore recipes, case studies, connectors, and guides for deploying multimodal AI in healthcare and skilled nursing.

    Clinical Documentation Structuring

    Production-grade recipe for extracting and structuring clinical notes, scanned charts, and wound photos into MDS-ready data.

    View recipe

    MeadowCare Case Study

    28-facility SNF chain achieved 95% MDS auto-population and recovered +$37/patient/day in PDPM revenue.

    Read case study

    MDS Coordinators Persona

    How Mixpeek helps MDS coordinators auto-populate assessments, optimize PDPM, and prepare for CMS surveys.

    View persona

    FHIR R4 Connector

    Zero-dependency connector for enriching FHIR clinical resources with multimodal AI. Works with Epic, Cerner, and PointClickCare.

    View connector

    SNF Documentation Intelligence

    Full use case covering MDS automation, PDPM optimization, and CMS audit readiness for skilled nursing facilities.

    View use case

    Why SNF Documentation Is a Multimodal AI Problem

    Thought-leadership post on documentation burden, EHR limitations, and why multimodal extraction is essential for SNFs.

    Read article

    Frequently Asked Questions

    How does your platform handle sensitive patient data (PHI)?

    We take data security and privacy extremely seriously. Our platform is designed to be deployed directly within your own on-premise or virtual private cloud environment. This means your data never leaves your control, ensuring full HIPAA compliance and eliminating the risks associated with third-party data access.

    Can your AI models integrate with our existing EMR/EHR and claims processing systems?

    Yes. Our platform is built for interoperability. We provide robust APIs and connectors to integrate seamlessly with existing systems like EMRs, EHRs, and claims management software. This allows you to enrich your current workflows with multimodal AI capabilities without replacing your core infrastructure.

    What kind of data is needed to detect claims fraud?

    Our platform excels by analyzing a combination of structured and unstructured data. This includes structured claims data (billing codes, provider IDs), unstructured clinical notes, medical imaging (X-rays, MRIs), and even audio from patient visits. By correlating information across these different modalities, we can identify anomalies and sophisticated fraud patterns that are invisible to systems that only look at structured data.

    How quickly can we see results for prior authorization automation?

    While every implementation is different, our goal is to deliver value quickly. For prior authorization, our language models can start automating case justification and evidence matching within weeks. The system learns and improves over time, progressively reducing administrative burden and accelerating approval times.

    How does Mixpeek automate MDS documentation for skilled nursing facilities?

    Mixpeek ingests clinical content from all sources — EHR exports via FHIR, scanned charts through OCR, wound photographs through image analysis, and therapy notes through text extraction. A taxonomy classifier maps extracted data to specific MDS 3.0 sections (G, J, K, M, N, O, Q), auto-populating assessment fields for coordinator review. MDS coordinators verify and sign off instead of manually abstracting charts for 3-4 hours per assessment.

    Can Mixpeek help recover PDPM revenue for SNFs?

    Yes. PDPM reimbursement depends on accurately documenting clinical severity, but relevant data is often scattered across unstructured notes, scanned forms, and photographs that billing systems cannot read. Mixpeek's multimodal extraction captures clinical indicators across all document types — comorbidities, wound staging, therapy minutes, functional status — ensuring documented acuity matches actual complexity. Customers have seen recovery of +$37/patient/day in previously undocumented PDPM revenue.

    See What 95% MDS Auto-Population Looks Like

    Start a 2-week pilot with your own clinical documents. No EHR integration required to begin.