EMORY UNIVERSITY HOSPITAL MIDTOWN
ATLANTA, GA
Ranks 13 of 26 scanned hospitals in GA. Ranks 590 of 993 scanned nationally.
This file has one or more blockers, issues that should be resolved before signing the attestation.
- Blockers
- 1
- Warnings
- 1
- Info
- 0
Source: https://www.emoryhealthcare.org/-/media/Project/EH/Emory/ui/pricing-transparency/csv/2026/580566200_1144203563_crawford-long-hospital_standardcharges.csv
Format: csv-tall · Schema v3.0 · Engine v0.2.3 · 9/23/2026, 12:52:36 PM
Automated analysis of the public file, using the current MRF Preflight ruleset. Not legal advice. Hospitals may re-scan at any time.
Score history
L1: Schema conformance
Required fields present on every line item
Blocker · HPT-L1-001Every standard charge line item must include a description, at least one billing code and code type, a care setting, and at least one standard charge (gross charge, discounted cash price, or a payer-specific negotiated dollar amount, percentage, or algorithm). Rows missing any of these can't be matched to a real service or priced.
234 of 234890 rows are missing a required field.
Citation: 45 CFR 180.50(b); CMS v3.0.0 CSV/JSON data dictionary, required-field list
Remediation: Fill in the description, code, code|type, and setting for every row, and make sure every row carries at least one standard charge, before republishing.
Affects 234 row(s).
L2: Completeness and plausibility
No placeholder values in price or payer fields
Warning · HPT-L2-014Values like 999999999, 'N/A', or an empty payer name are common placeholders hospitals leave in when a real number wasn't ready. They pass schema validation but carry no real pricing information.
234890 rows contain a placeholder value instead of real data.
Citation: CMS Hospital Price Transparency FAQ, data completeness guidance
Remediation: Replace placeholder values with the real negotiated rate, or omit the row if the rate genuinely doesn't exist for that payer/plan.
Affects 234,890 row(s).
1 blocker found in this file
The Attestation Evidence Packet documents every finding above with the exact file location, what was checked, and when — as a dated PDF with a SHA-256 hash, so what was true at generation time stays provable after the file changes. One hospital, one-time.