Illustration of a hospital with a bar next to it highlighting the bottom 25%
When it comes to HACs, how do you score?

Are you in the highest performing 75% or the lowest performing 25%?

Hospital-acquired conditions (HACs) and your bottom line

A large U.S. hospital in the lowest performing 25 percent can face $1.1 million in lost reimbursement annually and it’s not much better for mid-sized hospitals. See below to understand the numbers behind the issue and what you can do about it.

HAC scores and large hospitals

  • circle graph showing the 32 percent in lowest performing quartile
    In 2018, an estimated 32% of large U.S. hospitals will occupy the lowest performing quartile for HACs.*
  • Icon of a very large hospital
    For large U.S. hospitals—those with 500-1,000 beds—annual median Medicare reimbursement adds up to approximately $113.7M*

How will that lowest HAC quartile affect your bottom line?

Large U.S. hospitals in the bottom quartile for HACs are automatically slapped with a 1% reduction in Medicare reimbursement for the year. Do the math!

Arrow pointing down and graph arrow trending downwards

1% reduction in Medicare reimbursement
$1.1 million lost annually


HAC scores and mid-sized hospitals

  • circle graph showing the 26.3 percent in lowest performing quartile
    In 2018, an estimated 26.3% of mid-sized U.S. hospitals will occupy the lowest performing quartile for HACs.*
  • Icon of a very large hospital
    For mid-sized U.S. hospitals—those with 300-500 beds—annual median Medicare reimbursement adds up to approximately $60.2M*

How will that lowest HAC quartile affect your bottom line?

Mid-sized U.S hospitals in the bottom quartile for HACs are automatically slapped with a 1% reduction in Medicare reimbursement for the year. Do the math!

Arrow pointing down and graph arrow trending downwards

1% reduction in Medicare reimbursement
$602,000 lost annually


How can you stay out of the bottom quartile?

With 3M software and services, your hospital can identify real-time patient data and assess key information before the patient is discharged, helping your quality team identify and verify patient safety indicators (PSIs) and hospital-acquired conditions (HACs). An automated 3M system also helps improve communications between CDI reviewers and coders—yet another tool to help you decrease PSIs and HACs.

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3M. Real results. Real clients.

95% identification rate in PSIs and HACs
63% decrease in PSIs and HACs

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  • **The estimated figures were calculated using 2014-2016 MEDPAR data. Hospital bed sizes are based on information from AHA. **Results were provided by current 3M clients, one a multi-specialty, non-profit hospital and the other an academic, multi-specialty hospital. ##discLink1##