Patient Intake Improvement Model
An interactive maturity and performance simulator for the five linked stages of the front door — scheduling, check-in, registration, encounter, and payment. Set a baseline, exercise five operational levers, and surface the trade-offs beneath digital transformation.
Overview & Front Door Reliability Score
The FDRS is a composite of three weighted dimensions — Experience (30%), Accuracy (40%), and Throughput (30%) — with a friction penalty when digital adoption outpaces assisted-support coverage. The score maps to a five-stage maturity ladder, providing a shared language for project plans and weekly huddles.
Composite FDRS
Stable systems, predictable variation, continuous improvement embedded.
Sub-score breakdown
Headline KPIs
Live recalculation against the active scenario. Adjust inputs in Baseline Config and Five Levers to see movement.
How to use this model
Run three passes — the value is in comparing them, not in any single number.
Map the current state
Use Baseline Config to enter today’s actuals from your weekly ops scorecard. Save as Baseline.
Model a realistic plan
Modest portal uptake plus a readability uplift plus staffed assistance. Save as Near-Term Plan.
Stress-test an aggressive strategy
High kiosk adoption with reduced staffing. Save as Aggressive Plan and watch for equity friction and error rebound.
Baseline Configuration
Enter your current-state actuals. These six inputs anchor every downstream calculation. Pull values directly from your weekly intake huddle scorecard or RCM reporting.
The Five Levers
These are the operational design choices that move the front door. Move a slider and the model recalculates Headline KPIs, the Stage Heatmap, and the FDRS in real time. Watch what happens when portal adoption climbs faster than assisted-support coverage.
Lever → KPI Impact
Marginal effect of moving each lever ±10 points (or one std unit for Staffing) on the projected KPIs.
Stage Analysis
Defects don’t always surface where they are caused. The attribution model traces downstream denials and delays back to their upstream root cause — published RCM literature consistently finds that ~70% of denials are seeded at registration, even when the rejection lands at the back end.
Defect rate by stage
Severity color: Low • Moderate • High
Denial attribution (root cause)
Where each $1 of denied revenue is actually born — not where it surfaces.
Stage-level performance
Quality score per stage (10 = defect-free).
Scenario Compare
Side-by-side view of saved scenarios with delta indicators. The radar shows shape difference; the table shows magnitude. If a row is empty, save that scenario in Baseline Config first.
Scenario shape comparison
Six normalized KPIs — further from center is better in all directions.
FDRS movement
Composite score by scenario; the gap between Near-Term and Aggressive is the risk premium.
KPI delta table
| Metric | Baseline | Near-Term | Δ | Aggressive | Δ |
|---|
Equity & Risk
Two patterns degrade the front door silently. Equity friction appears when digital adoption outpaces assisted-support coverage — the system gets faster for the digitally fluent and slower for everyone else. Error rebound appears when staffing cuts and self-service automation arrive together — rework climbs as the safety net thins.
Equity Friction Index
Portal adoption is supported by adequate assisted-support coverage. Continue monitoring as portal grows.
Error Rebound Risk
Staffing index and kiosk mix are in balance. No automation rebound signal.
Vulnerable-Population Coverage
Estimated share of LEP, low-digital-literacy, and elderly patients with viable assisted-support pathway.
What the model is watching
Portal − Assist gap > 20 points
Apply a friction penalty to the FDRS. Patients without portal access experience longer waits and higher defect rates because the registrar workflow is no longer the primary path.
Staffing < 0.85 AND Kiosk > 60%
Flag error rebound. Self-service captures volume but produces input errors that reappear as denials and rework downstream — with too few staff to absorb the rework.
Readability < 5
Amplify defect rebound on kiosk and portal channels. Plain-language and multilingual coverage are the prerequisite for any self-service strategy.
Friction penalty active for > 1 quarter
Sustained equity gaps require structural mitigation: financial counseling, language-line investment, scheduled assist, or paper-track preservation — not just slider movement.
Toolkit
Operational artifacts to translate the model output into a project plan. All fields persist in your browser and can be printed.
PDSA Worksheet — Front Door Improvement Cycle
Plan
Do
Study
Act
Weekly Intake Huddle Template (15 minutes)
A3 Project Canvas (one-page)
Background
Current condition
Target condition
Root cause analysis
Countermeasures
Plan / measure / sustain
Intervention Library
Each card maps to one or more levers. Use it as a starting menu, not an exhaustive list.
Reliability Specification
The spec defines what each KPI means, how it’s measured, who owns it, and the threshold for each maturity stage. Without this, the model produces numbers that can’t be defended in a budget conversation.
KPI definitions
| KPI | Definition | Numerator / Denominator | Source | Cadence | Owner |
|---|---|---|---|---|---|
| Wait Time | Door-to-modality-table interval. | Σ (table_time − arrival_time) / N encounters | RIS arrival/start timestamps | Daily | Imaging Ops Manager |
| Registration Defect Rate | Encounters with at least one downstream-correctable error. | defective_encounters / total_encounters | RCM workqueue + audit sample | Weekly | PFS / Patient Access Director |
| Initial Denial Rate | First-pass payer rejections. | denied_837 / total_837 (first 60 days) | 835 remits | Monthly | Revenue Cycle Director |
| No-Show Rate | Scheduled exams not completed (cancel < 24h or no-arrival). | noshow + late_cancel / scheduled | Scheduling system | Weekly | Scheduling Manager |
| Rework / Encounter | Staff time correcting upstream defects per encounter. | corrective_min / total_encounters | Time study + workqueue resolution log | Quarterly | Patient Access Director |
| Patient Experience | Composite of access, communication, dignity domains. | weighted mean of domain top-box % | Press Ganey / NRC / internal short-form | Monthly | PX Officer |
| FDRS | Composite reliability score. | 0.30·Exp + 0.40·Acc + 0.30·Thr − friction_penalty | Computed from above | Monthly | Imaging VP / Service Line Lead |
| Equity Friction Index | Gap between digital adoption and assisted-support coverage. | max(0, (portal − assist − 20) / 100) | Computed | Monthly | Health Equity Officer |
Maturity-stage thresholds
| Stage | FDRS | Defect Rate | Initial Denial Rate | PX | Hallmark |
|---|---|---|---|---|---|
| Reactive | < 5.5 | > 12% | > 10% | < 6.5 | Heroics. Variation absorbed by staff overtime. |
| Defined | 5.5 – 7.0 | 8 – 12% | 7 – 10% | 6.5 – 7.5 | Documented basics. Process exists; adherence inconsistent. |
| Standardized | 7.0 – 8.0 | 5 – 8% | 5 – 7% | 7.5 – 8.2 | Consistent execution. Defects detected, not yet prevented. |
| Optimized | 8.0 – 9.0 | 3 – 5% | 3 – 5% | 8.2 – 9.0 | Predictable variation. Continuous improvement embedded. |
| Adaptive | ≥ 9.0 | < 3% | < 3% | ≥ 9.0 | Self-correcting. System learns from each defect; equity gaps actively closed. |
Governance & cadence
Daily
Wait time, no-show. Modality-level huddle.
Weekly
Defect rate, rework, equity friction. Service-line huddle.
Monthly
FDRS, denial rate, PX. Operating committee with maturity-stage review.
Executive Command Center
System performance against the Intake Quality Index (IQI), an illustrative composite of experience, accuracy, and throughput.
Composite IQI Score
Weighted blend of patient experience, registration accuracy, and front-door throughput.
Experience
9.4
Accuracy
9.8
Throughput
7.5
Trend
↑ 14%
Time to Ready: Digital Intake vs Manual Front Desk
Grounded in a digital check-in deployment (25% faster check-in, 20% higher satisfaction) and an AI assisted outpatient study that cut median wait from 1.97 hours to 0.38 hours.
Clean Claim Rate
Above the HFMA best practice target of 98% (95% minimum)
Intake Attributable Denials
Registration and eligibility account for roughly one quarter of all denied claims, the share the front door can directly prevent.
Financial Impact Engine
Quantifying the shift from clerical cost to protected revenue, grounded in 2024 to 2026 revenue cycle data.
Projected Annual Value
Model Logic
Prevented front-end denials = annual exams × denial rate × intake share × capture rate. Value sums protected reimbursement, avoided rework (about $44 per claim), and front desk labor saved ($12 per registration). Adjust every assumption above.
The Zero-Touch Experience
This simulation walks the patient journey from a mobile pre-arrival link. Automating identity and insurance at the front door shrinks the waiting room and stops registration errors before they become denials.
- 1
Image based capture of ID and insurance card, reducing typed entry errors
- 2
Real time eligibility and coverage verification
- 3
Transparent arrival pass and wait status
Hello, Sarah.
Your CT Brain scan is scheduled for 2:30 PM today.
Preparation Step
Fast-Track Check-in
Skip the desk. Verify your insurance now and walk straight to imaging.
University Radiology Health System
Insurance Verification
Position your card inside the frame.
Tap to Scan Card
Analyzing payer data…
You are verified
Coverage confirmed with Blue Shield. No co-pay is due today.
Arrival Pass
Show this at the arrival kiosk
Fast-Track: ON
Executive Command Center
System performance against the Intake Quality Index (IQI), an illustrative composite of experience, accuracy, and throughput.
Composite IQI Score
Weighted blend of patient experience, registration accuracy, and front-door throughput.
Experience
9.4
Accuracy
9.8
Throughput
7.5
Trend
↑ 14%
Time to Ready: Digital Intake vs Manual Front Desk
Grounded in a digital check-in deployment (25% faster check-in, 20% higher satisfaction) and an AI assisted outpatient study that cut median wait from 1.97 hours to 0.38 hours.
Clean Claim Rate
Above the HFMA best practice target of 98% (95% minimum)
Intake Attributable Denials
Registration and eligibility account for roughly one quarter of all denied claims, the share the front door can directly prevent.
Financial Impact Engine
Quantifying the shift from clerical cost to protected revenue, grounded in 2024 to 2026 revenue cycle data.
Projected Annual Value
Model Logic
Prevented front-end denials = annual exams × denial rate × intake share × capture rate. Value sums protected reimbursement, avoided rework (about $44 per claim), and front desk labor saved ($12 per registration). Adjust every assumption above.
The Zero-Touch Experience
This simulation walks the patient journey from a mobile pre-arrival link. Automating identity and insurance at the front door shrinks the waiting room and stops registration errors before they become denials.
- 1
Image based capture of ID and insurance card, reducing typed entry errors
- 2
Real time eligibility and coverage verification
- 3
Transparent arrival pass and wait status
Hello, Sarah.
Your CT Brain scan is scheduled for 2:30 PM today.
Preparation Step
Fast-Track Check-in
Skip the desk. Verify your insurance now and walk straight to imaging.
University Radiology Health System
Insurance Verification
Position your card inside the frame.
Tap to Scan Card
Analyzing payer data…
You are verified
Coverage confirmed with Blue Shield. No co-pay is due today.
Arrival Pass
Show this at the arrival kiosk
Fast-Track: ON