Hospital audit

HAC Penalty Risk Auditor

HAC Penalty Risk Auditor

FY2026 · structural fragility of Total HAC Scores

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Hospital audit

CLEVELAND CLINIC INDIAN RIVER HOSPITAL

FL · Facility ID 100105 · FY2026

Total HAC Score

-0.1891

Percentile

39.7th

Displayed status

No reduction

From CMS Payment Reduction column (file).

Score vs threshold (0.3792)

Score distributionThreshold 0.3792Hospital -0.1891

Hospital score -0.1891. Penalty threshold 0.3792. Distribution of 2929 scored hospitals.

Data completeness

Reported on 6 of 6. Missing measures show N/A with the CMS footnote; footnote 18 values are imputed worst-case, not measured performance.

  • PSI-90z -1.483
  • CLABSIz -0.462
  • CAUTIz 0.571
  • SSIz 0.527
  • CDIz 0.447
  • MRSAz -0.734

Fragility

Each reported measure moves the score by 0.1667 points.

Score swing if each reported measure were at its Z floor versus Z cap, holding other measures fixed
MeasureCurrent ZScore @ floorScore @ capAbs swing
PSI-90controls fate-1.4834-0.18910.47660.6657
CAUTI0.5712-0.50410.11340.6175
MRSA-0.7342-0.30960.30410.6137
CDI0.4468-0.50730.10190.6092
CLABSI-0.4623-0.34650.26130.6078
SSI0.5272-0.51970.08500.6047

Swing is a mechanics illustration: replace one reported Z with that measure’s observed floor or cap while holding others fixed. Ranked by absolute swing.

Peer context

Percentile within FL (165 scored): 51.2th

Score distributionThreshold 0.3792Hospital -0.1891

Hospital score -0.1891. Penalty threshold 0.3792. Distribution of 165 scored hospitals.

Percentile among hospitals with 6 reported measures (1940 scored): 36.6th

Score distributionThreshold 0.3792Hospital -0.1891

Hospital score -0.1891. Penalty threshold 0.3792. Distribution of 1940 scored hospitals.

Plain-language verdict

As scored, the CMS file lists no payment reduction (Total HAC Score -0.1891; threshold 0.3792).

Reported on 6 of 6 measures; each reported measure moves the equal-weighted score by 0.1667 points.

Describes scoring mechanics only. Not medical or legal advice. Any “would / would not” language is an illustration against the published threshold, not a CMS prediction.

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