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.

What You'll Achieve
Measurable improvements across documentation, revenue, and compliance from day one.
Nurses reclaim 2-3 hours per shift for direct patient care
Sections G through Q populated from clinical content automatically
Capture clinical severity hidden in unstructured notes and photos
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.
Multimodal Fraud Detection Process
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
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.
Risk Adjustment Optimization
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.
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
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 DemoLarge 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 DemoMedicare Advantage Plan
Improved risk score accuracy by 15% and successfully defended against 100% of audits through comprehensive AI-powered chart review.
Schedule a DemoMeadowCare 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 StudyMore Healthcare Use Cases
Explore how Mixpeek solves critical healthcare challenges across clinical documentation, medical imaging, and operational workflows
SNF Documentation Intelligence
Automate MDS assessments and clinical documentation for skilled nursing facilities
40% less time on charting
Documentation time reduction
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 recipeMeadowCare Case Study
28-facility SNF chain achieved 95% MDS auto-population and recovered +$37/patient/day in PDPM revenue.
Read case studyMDS Coordinators Persona
How Mixpeek helps MDS coordinators auto-populate assessments, optimize PDPM, and prepare for CMS surveys.
View personaFHIR R4 Connector
Zero-dependency connector for enriching FHIR clinical resources with multimodal AI. Works with Epic, Cerner, and PointClickCare.
View connectorSNF Documentation Intelligence
Full use case covering MDS automation, PDPM optimization, and CMS audit readiness for skilled nursing facilities.
View use caseWhy SNF Documentation Is a Multimodal AI Problem
Thought-leadership post on documentation burden, EHR limitations, and why multimodal extraction is essential for SNFs.
Read articleFrequently 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.
