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.
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 DemoThe Multimodal Data Platform Difference
Cross-modal fraud detection
Correlate claims, clinical notes, and medical imaging to uncover sophisticated fraud patterns that siloed systems miss.
Automated review acceleration
Drastically reduce administrative overhead by using AI to automatically surface relevant evidence from unstructured data.
Secure on-premise deployment
Deploy our platform directly within your environment, ensuring full control and compliance over patient and proprietary data.
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
More Healthcare Use Cases
Explore how Mixpeek solves critical healthcare challenges across clinical documentation, medical imaging, and operational workflows
AI-Assisted Medical Image Analysis for Radiology Workflows
For healthcare providers processing thousands of medical images. AI-powered analysis to support radiologist workflows with 90-95% accuracy on common conditions.
90-95% sensitivity on common findings (pneumonia, effusions)
Detection Accuracy
Radiology departments, imaging centers, and teleradiology providers processing thousands of X-rays, CT scans, and MRIs requiring workflow optimization
Clinical Trial Document Search and Evidence Synthesis
For pharma R&D teams managing 100K+ clinical documents. Search across protocols, CSRs, and publications. 70% reduction in literature review time.
70% reduction in systematic review time
Literature Review Time
Pharmaceutical R&D teams, medical affairs departments, and clinical operations groups managing large document repositories for drug development programs
Intelligent Patient Intake Document Processing
For healthcare providers processing 500+ patient intakes daily. Automate form processing and data extraction. 90% reduction in manual entry, 99% accuracy.
90% reduction in manual data entry time
Manual Entry
Hospitals, clinics, and healthcare networks who need to efficiently process patient intake forms, insurance cards, and medical records
MDS-Aligned Clinical Documentation & Compliance for Nursing Homes
For nursing home systems managing 200+ residents across facilities. Automate MDS-aligned documentation from clinical notes, incident reports, and wound photos. 40% reduction in nurse documentation time, 90% faster audit preparation.
40% reduction in nurse documentation burden
Documentation Time
Nursing home systems, long-term care facilities, and skilled nursing facilities managing clinical documentation, regulatory compliance (CMS/MDS), and quality improvement programs
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.