σ
CliniqOptimize
AI-powered healthcare quality improvement.
No Six Sigma training required.
📊
Enter Metrics
See gaps vs benchmarks instantly
🤖
AI Guides You
Charter, RCA, solutions, control plan
🏥
EHR-Specific
Epic, Cerner, Meditech & more
Your experience level?
Personalizes AI depth and which tools are shown.
🟡
Yellow Belt
New to QI · clinic owners, charge nurses, frontline staff
🟢
Green Belt
Familiar with DMAIC · leads department projects
Black Belt
Expert practitioner · multi-department programs
Connect your API key
CliniqOptimize runs on Anthropic's Claude AI. Paste your key below to get started.
🔒Stored only in your browser. AI calls go directly to Anthropic — we never see your data.
👨‍⚕️
Ryan
Physician Assistant · 15+ years clinical experience
Global Health Six Sigma Green Belt Health Systems Improvement Military Medicine
🎯 Why I Built This

Over 15 years practicing as a Physician Assistant across urgent care, internal medicine, military medicine, and occupational health, I have witnessed firsthand how dramatically patient safety improves when a clinical team intentionally applies proven process improvement methods. The progress is real and measurable — and deeply encouraging.

Yet healthcare still operates far from Six Sigma levels of reliability. Larger health systems with dedicated quality departments may approach 3–4 sigma in select processes. Most facilities do not. And for small to mid-sized clinics, the gap is far wider.

That gap — and the preventable harm it causes — is what motivated this application. A solo practitioner running an urgent care clinic deserves access to the same quality infrastructure as a 500-bed health system. Not a watered-down version — the real thing, adapted for their context and their EHR.

🚀 What CliniqOptimize Does

CliniqOptimize puts the full DMAIC methodology — Define, Measure, Analyze, Improve, Control — into the hands of any clinician or quality team, regardless of their formal Six Sigma training. Every analysis is grounded in peer-reviewed evidence (178+ verified citations across PubMed and Consensus), calibrated to your department, and translated into specific actions inside your EHR.

One design principle sets this tool apart: every recommendation names the specific EHR feature to implement it. Six Sigma tells you what to improve. Your EHR is the most powerful instrument for making it stick. This tool connects the two.

⚙️ Features
📊 Dashboard
Sigma, DPMO, Cpk · 9 departments · live benchmarks
🎯 Define — AI Charter
Problem statement, SMART goal, business case, milestones
📐 Measure — Sigma Calculator
Defect counts → DPMO, sigma, Cpk, UCL/LCL
🔍 Analyze — RCA
6M Fishbone, Pareto ranking, evidence-cited root causes
⚡ Improve — Solutions
EHR config steps, PDSA pilot, ADKAR, ROI estimate
🛡️ Control — SPC Plan
Matched SPC chart, UCL/LCL, audit schedule, escalation
⚠️ FMEA
RPN-scored failure modes with HFMEA taxonomy
🗺️ Value Stream Map
Current vs future state · PCE% · bottleneck flagging
🧠 Human Factors
Cognitive load, alert burden, Nielsen heuristics
🤖 AI Agents
5 parallel specialists: Process · Clinical · Finance · Safety · RCA
💡 Quick Fixes
Problem → 5 evidence-based suggestions with EHR actions
🎓 Belt Levels
🟡
Yellow Belt
Plain language, click-by-click EHR steps
🟢
Green Belt
LSS terminology, effect sizes, PDSA, ADKAR
Black Belt
Advanced stats, regulatory linkage, executive modeling
🏥 EHR Systems
Epic
Oracle (Cerner)
MEDITECH Expanse
athenahealth
eClinicalWorks
Allscripts
NextGen
Netsmart
CPSI / TruBridge
Greenway Health
📋 Departments & Evidence
Emergency Dept
Urgent Care
Inpatient / Med-Surg
ICU / Critical Care
Ambulatory
Pharmacy
Laboratory
Radiology
Operating Room
178+ verified citations · PubMed + Consensus · APA 7th · Live DOI
🤖 AI Models
Claude Sonnet 4.6
All DMAIC phases
Claude Haiku 4.5
Real-time & quick tasks
PubMed + Consensus
Live citation verification
Performance Summary
Live · color-coded vs. benchmarks
Emergency Department
💰 CMS Revenue Context
💰 CFO / Executive
CMS Revenue Context — Why Enter This?
These 4 fields let the AI calculate real dollar estimates for your penalty exposure and COPQ (Cost of Poor Quality). Without them, reports use percentages only. With them, every metric gap becomes a specific dollar figure — e.g., "your current readmission rate puts you at risk of a $847,000 HRRP penalty."

All calculations use the CMS IPPS formula: Payment = Base Rate × MS-DRG Weight × Wage Index ± Adjustments. Penalty programs applied: HRRP (up to 3%), VBP (±2%), HACRP (1%).
🎯 Find in: your annual CMS Cost Report (Form 2552-10) · Medicare Provider Analysis and Review (MedPAR) file · Finance department's Medicare summary report
· optional
Enter Your EHR Metrics
Update instantly · click Analyze for AI deep-dive
Executive:
📊 Dashboard (Estimated)
Computes sigma from metric gaps vs benchmarks — useful for quick identification of problem areas. Not statistically certified. Use for triage and prioritization.
🔬 Measure (Validated)
Computes sigma from observed defects and real data series using DMAIC-standard methods. Required for project sign-off, Ppk, and control limit calculation.
Defect / Error Count Required
Use observed defects from EHR reports
Process Statistics — optional, unlocks Ppk & UCL/LCL
USL/LSL required for Ppk · Mean/SD auto-compute if blank
💡 Where to find these: Mean & SD from your EHR reporting module (Epic Reporting Workbench, Cerner Operational Reports). USL = your performance target or policy limit.
Individual Data Series — optional, enables MR̄/d₂ control limits
Paste raw values from EHR export chart method
ne order TAT). Mean and SD auto-fill if blank above.
Problem Statement (Fish Head)
The specific defect or outcome you are analyzing
The "effect" — paste your problem statement here.
6M Fishbone Diagram
Enter contributing factors for each category
👤 People
Human factors: staffing, training, behavior, communication, fatigue
💡 Examples to consider
Long D2P → Why? → Only 1 triage nurse at 5pm → Why? → Schedule built on average demand, not peak → Why? → No data-driven staffing model exists
📋 Method (Process)
Workflow design: procedures, protocols, handoffs, standard work, sequencing
💡 Examples to consider
High med error rate → Why? → Reconciliation done at discharge rush → Why? → No standard workflow for admission meds → Why? → SOP last updated 4 years ago
💻 Machine / Technology
EHR configuration, equipment, system design, alerts, downtime, integration
💡 Examples to consider
Providers miss critical lab results → Why? → Result routed to on-call inbox, not primary → Why? → EHR routing rule not updated when attending changed → Why? → No EHR audit process for routing rules
📦 Material
Supplies, medications, forms, information inputs, data quality, patient information
💡 Examples to consider
Medication errors at admission → Why? → Home med list incomplete → Why? → Patient brought paper list, not verified in EHR → Why? → No standard process for importing external med records
📊 Measurement
Data collection, metrics definition, reporting accuracy, KPI visibility, feedback loops
💡 Examples to consider
Process seems fine by metrics but patients complain → Why? → We only measure D2P, not total wait → Why? → EHR only timestamps provider first contact → Why? → Arrival-to-triage time not captured in our workflow
🏥 Environment
Physical space, layout, culture, regulations, external pressures, seasonal demand
💡 Examples to consider
Near-misses not reported → Why? → Staff fear punitive response → Why? → Last reported event led to disciplinary action → Why? → No just culture policy or non-punitive reporting framework
⁉️ 5-Why Quick Tool (optional — drill down on a specific symptom)
Start with an observable symptom, then ask "Why?" five times to reach the true root cause. Click 📌 Add & Auto-sort to have AI classify the chain and place it in the correct fishbone bone automatically.
Why 1
Why 2
Why 3
Why 4
Why 5
AI Fishbone Analysis
endations
Root Cause Scope:
Root Cause to Address
Choose one — a focused solution will be generated
Run Root Cause Analysis in Analyze first, then return here.
Add Failure Mode
Process StepFailure ModeSODRPNPriority
Current State — Process Steps
Enter steps and actual times from observation
Vol:
💰 Financial grounding
Daily volume — why enter this?
Without volume, the AI cannot calculate financial impact and will describe improvements directionally only. With volume, financial impact is pre-calculated in JavaScript (not AI-estimated) before the analysis runs.
Step Name
Process
min
Wait
min
Value Added?
Staff
Move / Del
ady tried · your constraints (budget, staffing, IT bandwidth). The more context you give, the more specific and actionable the suggestions will be.
Cognitive Load Estimator
Selected: 12 hours · Research: cognitive fatigue escalates significantly after hour 9 (JONA 2004, Patterson 2010)
Human Factors Risk Index
EHR & Workflow Usability Analysis
burden, or workflow mismatches. Include the role affected, the EHR screen or module, and any workarounds staff are using. The more specific, the more targeted the analysis.
🚧
AI Agent Suite — Under Development
This feature is currently being redesigned and is not available. The 5-agent parallel analysis, citation verifier, and DOI resolver will return in a future release with improved accuracy and reliability. All other CliniqOptimize features (Dashboard, Define, Analyze, Improve, Control, FMEA, VSM, Suggestions, Human Factors) are fully operational.
Active AI Model
Claude Sonnet 4
Sonnet 4 is recommended for all tasks. Switch to Opus 4.6 for complex FMEA or strategic analysis. Haiku 4.5 is used automatically for live monitoring.
🔍 3-Agent Citation Verifier Anti-Hallucination 🌐 Live Web Search
Each agent performs real-time web search independently — no shared context between searches. Consensus requires ≥2/3 agents in agreement. Based on CoVe (Dhuliawala et al. ACL 2024), Chain-of-Thought (Wei et al. NeurIPS 2022), anti-sycophancy (Burns et al. 2022). ⚠️ Note: uses Anthropic web search ($10/1k searches) — one verification run uses up to 9 searches (~$0.09) plus token costs.
🔬 Agent 1 — Primary Investigator
Sonnet 4 · 🌐 Web search · CoVe atomic verification
Waiting to run...
🧪 Agent 2 — Devil's Advocate
Opus 4.6 · 🌐 Web search · Searches for contradictions
Waiting to run...
📚 Agent 3 — Literature Specialist
Haiku 4.5 · 🌐 Web search · Verifies DOI + APA format
Waiting to run...
🔗 Live DOI Resolver CrossRef API Free · No Auth
Queries the CrossRef REST API (api.crossref.org) directly from your browser to confirm each DOI in our citation library resolves to a real published paper with matching title, authors, and year. No API key required.
💡 How AI Agents Work

When you click Run All Agents, the app reads all your entered dashboard metrics and compares each one against its benchmark. It then fires 5 API calls simultaneously — each agent acts as a different expert analyzing the same data from their own professional lens. Results arrive in parallel; if one agent errors, the others still display.

Agent
Focus
Model
📊 Process Improvement Lead
Top 3 DMAIC priorities with sigma improvement targets and timeline
Sonnet 4
🏥 Clinical Quality Analyst
Patient safety risks + EHR-specific CDS mitigations and regulatory implications
Sonnet 4
📈 Statistical Expert
Process capability verdict, sigma/DPMO in clinical terms, statistical interventions
Opus 4.6
💻 EHR Workflow Optimizer
3 specific EHR configuration changes — SmartSets, BPA alerts, order panels
Sonnet 4
⏱ Operations Manager
Staffing, scheduling improvements and capacity analysis based on throughput
Sonnet 4
💡 Pro tip: Look for themes that appear in 3+ agents — those are your highest-confidence priorities. Each agent sees the same data but answers a different question, giving you a 360° view in under 30 seconds.
For best results: Enter your actual metrics on the Dashboard · Select your EHR in the status bar · Set your belt level (agents adjust language complexity accordingly)