JOHNSON MEMORIAL HOSPITAL
FRANKLIN, IN
Ranks 36 of 58 scanned hospitals in IN. Ranks 748 of 993 scanned nationally.
This file has one or more blockers, issues that should be resolved before signing the attestation.
- Blockers
- 2
- Warnings
- 2
- Info
- 0
Source: https://ddec1-0-en-ctp.trendmicro.com/wis/clicktime/v1/query?url=https%3a%2f%2fapps.para%2dhcfs.com%2fPTT%2fFinalLinks%2fReports.aspx%3fdbName%3ddbSJMHFFRANKLININ%26type%3dCDMWithoutLabel%26fileType%3dCSV&umid=f34144ed-5069-4e1c-a213-bd21c1fb6177&rct=1766437261&auth=a4954d50f00a82ee9b493536e341931a1e6f5e90-d0f8df7014522d22d6a9ee4fe04d2bea6a25a036
Format: csv-tall · Schema v3.0 · Engine v0.2.3 · 9/19/2026, 6:37:33 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
L2: Completeness and plausibility
Percentile allowed amounts are internally consistent
Blocker · HPT-L2-020Where median, 10th percentile, and 90th percentile allowed amounts are reported, the 10th percentile must be less than or equal to the median, which must be less than or equal to the 90th percentile, and the count of amounts behind the calculation must be greater than zero.
149711 rows have out-of-order percentiles or a non-positive count.
Citation: CY2026 OPPS final rule, 45 CFR 180.50(b)(4) — median/10th/90th percentile allowed amounts + count
Remediation: Recompute the percentile fields from the underlying remittance data so 10th <= median <= 90th, and ensure count reflects the number of amounts behind the calculation.
Affects 149,711 row(s).
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.
4 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 4 row(s).
L3: Discoverability compliance
MRF is publicly reachable without authentication or a JS wall
Blocker · HPT-L3-003The file must be fetchable by an anonymous, unauthenticated HTTP request. A login-gated page, a JavaScript-rendered viewer with no direct file link, or a 403/404 response means automated tools (including this one, CMS, and any payer trying to reconcile rates) can't actually read the file.
https://ddec1-0-en-ctp.trendmicro.com/wis/clicktime/v1/query?url=https%3a%2f%2fapps.para%2dhcfs.com%2fPTT%2fFinalLinks%2fReports.aspx%3fdbName%3ddbSJMHFFRANKLININ%26type%3dCDMWithoutLabel%26fileType%3dCSV&umid=f34144ed-5069-4e1c-a213-bd21c1fb6177&rct=1766437261&auth=a4954d50f00a82ee9b493536e341931a1e6f5e90-d0f8df7014522d22d6a9ee4fe04d2bea6a25a036 returned status 405.
Citation: 45 CFR 180.50(b) — MRF must be accessible to the public without barriers
Remediation: Serve the MRF from a plain, unauthenticated URL that returns the raw CSV or JSON file directly, with no login or JavaScript required.
MRF filename follows the CMS naming convention
Warning · HPT-L3-002CMS expects the MRF filename to follow <ein>_<hospital-name>_standardcharges.<ext>. A non-conforming filename makes the file harder for automated tools (including CMS's own review process) to identify.
Filename "query?url=https%3a%2f%2fapps.para%2dhcfs.com%2fPTT%2fFinalLinks%2fReports.aspx%3fdbName%3ddbSJMHFFRANKLININ%26type%3dCDMWithoutLabel%26fileType%3dCSV&umid=f34144ed-5069-4e1c-a213-bd21c1fb6177&rct=1766437261&auth=a4954d50f00a82ee9b493536e341931a1e6f5e90-d0f8df7014522d22d6a9ee4fe04d2bea6a25a036" doesn't match <ein>_<hospital-name>_standardcharges.<ext>.
Citation: 45 CFR 180.50(b)(1)(i) — file naming convention
Remediation: Rename the file to <ein>_<hospital-name>_standardcharges.csv (or .json), using the hospital's EIN with no dashes.
2 blockers 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.