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Fonteum · Learn · Healthcare policy & data explainers

Learn: healthcare policy and data, explained from the source

Plain-language explainers for US healthcare policy and federal data. Each guide answers the question completely, cites the primary CMS and federal sources, and links to the underlying facility-level data with per-field provenance. The inaugural cluster covers hospital-acquired conditions and the CMS HAC Reduction Program.

Reviewed by Jennifer Montecillo, MD, medical reviewer. Non-practicing medical reviewer.Last reviewed: June 2026 · Next review: December 2026 · Data last updated (dataLastUpdated): 2026-06-03About our reviewers →
Bar chart: FY2026 CMS HAC Reduction Program outcome across 3,055 eligible hospitals — 719 hospitals (23.9% of the 3,012 scored) in the worst-performing quartile take a 1-percent Medicare payment reduction, 2,293 are not penalized, and 43 had insufficient data to be scored.
The Learn hub's flagship topic — source: CMS HAC Reduction Program · Hospital file (data.cms.gov) · FY2026 · snapshot 2026-06-03.
HAC explainerHAC penalty dataResearch indexHospital cost reportsData sourcesMethodology
Primary federal sources:CMS data.cms.gov ↗CMS cms.gov ↗AHRQ ahrq.gov ↗

Explainers

CMS HAC Program
Hospital-Acquired Conditions

What hospital-acquired conditions are, the 14 CMS categories under the Deficit Reduction Act of 2005, and how the HAC Reduction Program penalizes the worst-performing quartile of hospitals. FY2026 data for 3,055 hospitals.

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Research data
HAC Reduction Program Penalties (Data)

Facility-level FY2026 penalty status and Total HAC Scores, rolled up by state — 719 of 3,012 scored hospitals take the 1-percent Medicare payment reduction. Companion data page to the explainer.

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More explainers are added as Fonteum publishes new federal-data topics. Browse the research studies and the hospital cost report data for the underlying datasets.

Frequently asked questions

What is the Fonteum Learn hub?
The Learn hub is Fonteum's library of plain-language explainers for US healthcare policy and federal data. Each explainer answers a definitional question completely, cites the primary federal sources, and links to the underlying facility-level data so any figure can be traced to its origin. The inaugural cluster covers hospital-acquired conditions and the CMS HAC Reduction Program.
What does the hospital-acquired conditions guide cover?
It covers the CMS definition of hospital-acquired conditions, the 14 categories under the Deficit Reduction Act of 2005, how the Present on Admission indicator drives the payment provision, and how the separate HAC Reduction Program penalizes the worst-performing quartile of hospitals with a 1-percent Medicare payment reduction. It is a policy and data explainer, not clinical guidance.
Where can I find facility-level HAC penalty data?
The companion research page, HAC Reduction Program Penalties, publishes FY2026 facility-level penalty status and Total HAC Scores rolled up by state, sourced from the CMS HAC Reduction Program Hospital file. Among the scored hospitals, 719 — roughly the worst-performing quartile — take the 1-percent payment reduction.
Are Fonteum's Learn explainers medically reviewed?
Yes. A non-practicing medical reviewer checks each explainer for source interpretation, terminology, and limitations language. The reviewer does not provide clinical advice; the explainers cover regulatory and data accuracy, not patient care.
How current is the HAC data on Fonteum?
The HAC figures reflect the CMS FY2026 program year, read directly from the CMS Hospital file on data.cms.gov at the snapshot date shown on each page. CMS refreshes the file annually by federal fiscal year; Fonteum re-reads it on each publish and records the new snapshot date in the provenance chain.
Source: CMS HAC Reduction Program — Hospital file (data.cms.gov, yq43-i98g)·Snapshot: 2026-06-03·Method: cms-hac-reduction-program/v1·ID: cms-hac-reduction-program/v1

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Fonteum is a US healthcare provenance registry that publishes signed, chain-of-custody-attested research and data pages on Medicare, Medicaid, and federal regulator datasets, drawing from 22 federal source families across CMS, OIG, HRSA, AHRQ, and HHS.

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