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.
Nursing home systems, long-term care facilities, and skilled nursing facilities managing clinical documentation, regulatory compliance (CMS/MDS), and quality improvement programs
Nurses spend 40% of shifts on manual documentation, audit preparation is time-intensive and error-prone, and incident data is fragmented across systems making quality improvement difficult
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Why Mixpeek
40% reduction in documentation time, 70% faster audit preparation, automatic incident trending, and defensible documentation with visual evidence trails
Overview
Nursing homes generate massive unstructured clinical data daily - progress notes, incident reports, wound photos, therapy notes. Mixpeek transforms this into structured, MDS-aligned intelligence that reduces administrative burden while improving care quality and regulatory compliance. Built to Centers for Medicare & Medicaid Services (CMS) MDS 3.0 standards. Mixpeek can be deployed fully managed or integrated programmatically — below are example integrations for technical teams.
Challenges This Solves
Documentation Burden
Nurses spend 40% of shift time on manual documentation and data entry
Impact: Less time for direct patient care, overtime costs, staff burnout
Audit Preparation
CMS and state audits require gathering fragmented documentation across systems
Impact: Weeks of staff time, penalties for missing/incomplete data, lower star ratings
Incident Tracking
Fall reports, wound assessments, and safety incidents trapped in free-text notes
Impact: Cannot identify patterns, repeat incidents, or track outcomes over time
MDS Compliance
Minimum Data Set (MDS 3.0) requirements demand structured clinical data
Impact: Manual abstraction from notes, errors impact reimbursement and star ratings
Wound Documentation
Pressure ulcer photos and measurements scattered, hard to track healing progression
Impact: Liability risk, cannot demonstrate care quality, difficult wound audits
Quality Improvement
QAPI (Quality Assurance Performance Improvement) requires trend analysis
Impact: Cannot identify facility-wide patterns or high-risk residents/units
Implementation Steps
Mixpeek automatically structures clinical notes, incident reports, wound photos, and assessments into MDS-aligned, audit-ready intelligence while extracting key risk patterns
Connect Clinical Document Storage
Connect Mixpeek to your EHR document storage
import { Mixpeek } from 'mixpeek';const client = new Mixpeek({ apiKey: process.env.MIXPEEK_API_KEY });// Connect to clinical documentationawait client.buckets.connect({collection_id: 'nursing-home-clinical-docs',bucket_uri: 's3://facility-ehr-documents/',filters: {file_types: ['pdf', 'jpg', 'png', 'docx']}});
Index with MDS Extractors
Process documents with MDS-aligned feature extractors
// Index clinical documents with extractorsawait client.index.embed({collection_id: 'nursing-home-clinical-docs',extractors: ['document-parser', // Extract text from PDFs/scans'entity-extraction', // Medications, diagnoses, symptoms'medical-classification', // MDS section classification'image-embedding' // Wound photos, skin assessments],metadata: {facility_id: 'facility-123',mds_version: '3.0'}});
Search Clinical Documentation
Query by MDS section, incident type, or resident
// Search for fall incidents (MDS Section J)const fallIncidents = await client.retrieve({collection_id: 'nursing-home-clinical-docs',query: 'fall with injury resident mobility decline',filters: {mds_section: 'J_Health_Conditions',incident_type: 'fall_with_injury',date_range: { start: '2024-01-01', end: '2024-12-31' }}});console.log(`Found ${fallIncidents.results.length} fall incidents`);
Extract Wound Assessment Data
Analyze wound photos for staging and measurements
// Analyze wound photoconst woundAnalysis = await client.retrieve({collection_id: 'nursing-home-clinical-docs',query: { object_id: 'wound-photo-123.jpg' },extractors: ['medical-classification', 'image-embedding']});// Extract wound details from metadataconst woundData = {ulcer_stage: woundAnalysis.extracted.wound_stage, // Stage 1-4location: woundAnalysis.extracted.body_location,size_cm2: woundAnalysis.extracted.area_measurement,healing_status: woundAnalysis.extracted.progression};
Generate Audit Report
Retrieve all documentation for a resident audit package
// Generate audit package for a residentconst auditDocs = await client.retrieve({collection_id: 'nursing-home-clinical-docs',filters: {resident_id: 'resident-456',date_range: { start: '2024-Q1', end: '2024-Q4' },document_types: ['assessment', 'incident', 'wound_photo', 'care_plan']},sort: 'date_asc'});// Check compliance gapsconst missingDocs = auditDocs.results.filter(doc => !doc.metadata.signature || !doc.metadata.timestamp);console.log(`Audit ready: ${missingDocs.length === 0}`);
Feature Extractors Used
Retriever Stages Used
Expected Outcomes
40% reduction in nurse documentation burden
Documentation Time
70% faster audit package assembly
Audit Preparation
95% auto-population of MDS fields from clinical notes
MDS Accuracy
Identify repeat incident patterns 3x faster
Incident Detection
100% photo documentation with automated staging
Wound Compliance
60% reduction in deficiencies from documentation gaps
Regulatory Penalties
Frequently Asked Questions
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