Hospital audit

HAC Penalty Risk Auditor

HAC Penalty Risk Auditor

FY2026 · structural fragility of Total HAC Scores

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Hospital audit

BON SECOURS ST FRANCIS MEDICAL CENTER

VA · Facility ID 490136 · FY2026

Total HAC Score

-0.0027

Percentile

52.6th

Displayed status

No reduction

From CMS Payment Reduction column (file).

Score vs threshold (0.3792)

Score distributionThreshold 0.3792Hospital -0.0027

Hospital score -0.0027. 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 -0.313
  • CLABSIz -0.128
  • CAUTIz -0.077
  • SSIz 2.172
  • CDIz -0.703
  • MRSAz -0.966

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-0.3128-0.19780.46800.6657
CAUTI-0.0772-0.20960.40790.6175
MRSA-0.9661-0.08450.52920.6137
CDI-0.7032-0.12910.48010.6092
CLABSI-0.1283-0.21570.39210.6078
SSI2.1717-0.6073-0.00260.6047

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 VA (70 scored): 72.1th

Score distributionThreshold 0.3792Hospital -0.0027

Hospital score -0.0027. Penalty threshold 0.3792. Distribution of 70 scored hospitals.

Percentile among hospitals with 6 reported measures (1940 scored): 50.7th

Score distributionThreshold 0.3792Hospital -0.0027

Hospital score -0.0027. Penalty threshold 0.3792. Distribution of 1940 scored hospitals.

Plain-language verdict

As scored, the CMS file lists no payment reduction (Total HAC Score -0.0027; 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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