# DenQAI: patient access funnel definition

File-specific companion · 2026-09-10

## Purpose

Are inquiry-to-arrival measures defined well enough to identify access failures?

**Who:** Front-office lead, operations analyst, and owner

**Records:** Aggregate inquiry, qualification, appointment, arrival, and outcome records with defined channels and periods.

## Complete the file

1. Read the required_definition for each stage and define inclusion and exclusion rules.
2. Enter an aggregate_numerator and aggregate_denominator that refer to the same cohort and period_basis.
3. Identify source_system and owner, then document contradictions before interpreting conversion.

## Definitions

- **Qualified inquiry:** Inquiry the practice can appropriately serve or redirect under its stated criteria.
- **Numerator:** Count meeting the defined outcome for the measure.
- **Denominator:** Defined population eligible for that outcome.

## Fictional example

Fictional example: Of 100 August inquiries, 70 meet the documented service criteria; keep that qualification ratio separate from appointment arrival among those booked.

## Review and next action

Repair the weakest stage definition and investigate the associated patient-access failure.

A raw definition sheet does not establish a conversion formula or patient suitability. Do not combine unmatched cohorts or optimize bookings without care-access context.

[Related DenQAI guide](https://denqai.com/growth)

## AI coach prompt

Help me use DenQAI’s patient access funnel definition. My question is: Are inquiry-to-arrival measures defined well enough to identify access failures? Explain these terms in plain language: Qualified inquiry, Numerator, Denominator. Ask one question at a time about the required records: Aggregate inquiry, qualification, appointment, arrival, and outcome records with defined channels and periods. Walk through the supplied fictional example before asking me for inputs. Treat every missing value as unknown, not zero. Do not invent source records, contract terms, legal conclusions, or clinical facts. Use only permitted fictional or aggregate, non-identifying information. Follow this boundary: A raw definition sheet does not establish a conversion formula or patient suitability. Do not combine unmatched cohorts or optimize bookings without care-access context. End with the missing evidence and this next step: Repair the weakest stage definition and investigate the associated patient-access failure.

## AI review prompt

Review my permitted fictional or aggregate draft of DenQAI’s patient access funnel definition against the file instructions. Check each required field and period, units, evidence locator, assumptions, arithmetic where formulas are actually supplied, and unresolved contradictions. Check the sequence: Read the required_definition for each stage and define inclusion and exclusion rules. Enter an aggregate_numerator and aggregate_denominator that refer to the same cohort and period_basis. Identify source_system and owner, then document contradictions before interpreting conversion. Separate facts from assumptions and missing records. Do not supply unsupported numbers or make a professional decision for me. Apply this limitation: A raw definition sheet does not establish a conversion formula or patient suitability. Do not combine unmatched cohorts or optimize bookings without care-access context. Return corrections, questions for the responsible reviewer, and the next action.