# DenQAI: clinical transfer fieldbook

File-specific companion · 2026-09-10

## Purpose

What evidence does an authorized independent clinician need to evaluate a sampled treatment-transfer question?

**Who:** Independent clinical reviewer in an approved restricted-data environment

**Records:** Authorized clinical sample; diagnosis/images/consent documentation; permitted procedure/payment data; follow-up, remake, refund, and referral evidence.

## Complete the file

1. Use fictional rows to learn the schema; plan any real sample and access in the approved clinical-review system.
2. Review each case’s documented diagnosis, images, alternatives, consent, follow-up, and outcome flags without inferring necessity from a code.
3. Keep verification_state, reviewer_status, and limitations separate; export only appropriately reviewed aggregates to broader decision work.

## Definitions

- **Clinical transfer:** Whether the buyer can appropriately support the practice’s existing care model and responsibilities.
- **Remake flag:** Indicator of a recorded remake requiring context, not a quality conclusion.
- **patient_id_deidentified:** A legacy column label; substituting an ID alone does not establish de-identification.

## Fictional example

Fictional example: The supplied fictional CASE-EXAMPLE includes a procedure code and documentation flags; Independent review pending remains unchanged until a qualified reviewer examines the underlying authorized evidence.

## Review and next action

Have the independent clinician resolve the evidence question and provide a bounded aggregate transfer finding.

This file has patient-level dates and detailed clinical columns. Real data must remain in an approved authorized environment; do not paste them into DenQAI or an unapproved AI service. Legacy code C needs definition.

[Related DenQAI guide](https://denqai.com/acquisition/clinical-transfer)

## AI coach prompt

Help me use DenQAI’s clinical transfer fieldbook. My question is: What evidence does an authorized independent clinician need to evaluate a sampled treatment-transfer question? Explain these terms in plain language: Clinical transfer, Remake flag, patient_id_deidentified. Ask one question at a time about the required records: Authorized clinical sample; diagnosis/images/consent documentation; permitted procedure/payment data; follow-up, remake, refund, and referral evidence. 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: This file has patient-level dates and detailed clinical columns. Real data must remain in an approved authorized environment; do not paste them into DenQAI or an unapproved AI service. Legacy code C needs definition. End with the missing evidence and this next step: Have the independent clinician resolve the evidence question and provide a bounded aggregate transfer finding.

## AI review prompt

Review my permitted fictional or aggregate draft of DenQAI’s clinical transfer fieldbook 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: Use fictional rows to learn the schema; plan any real sample and access in the approved clinical-review system. Review each case’s documented diagnosis, images, alternatives, consent, follow-up, and outcome flags without inferring necessity from a code. Keep verification_state, reviewer_status, and limitations separate; export only appropriately reviewed aggregates to broader decision work. Separate facts from assumptions and missing records. Do not supply unsupported numbers or make a professional decision for me. Apply this limitation: This file has patient-level dates and detailed clinical columns. Real data must remain in an approved authorized environment; do not paste them into DenQAI or an unapproved AI service. Legacy code C needs definition. Return corrections, questions for the responsible reviewer, and the next action.