5 datasets found
  1. W

    Hospital Readmissions Reduction Program

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    csv, json, rdf, xsl
    Updated Oct 28, 2020
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    United States (2020). Hospital Readmissions Reduction Program [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/hospital-readmissions-reduction-program
    Explore at:
    json, csv, rdf, xslAvailable download formats
    Dataset updated
    Oct 28, 2020
    Dataset provided by
    United States
    Description

    In October 2012, CMS began reducing Medicare payments for Inpatient Prospective Payment System hospitals with excess readmissions. Excess readmissions are measured by a ratio, calculated by dividing a hospital’s number of “predicted” 30-day readmissions for heart attack (AMI), heart failure (HF), pneumonia, chronic obstructive pulmonary disease (COPD), hip/knee replacement (THA/TKA), and coronary artery bypass graft surgery (CABG) by the number that would be “expected,” based on an average hospital with similar patients.

  2. d

    Hospital Readmission Reduction

    • data.world
    csv, zip
    Updated Apr 9, 2024
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    Centers for Medicare & Medicaid Services (2024). Hospital Readmission Reduction [Dataset]. https://data.world/cms/hospital-readmission-reduction
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Apr 9, 2024
    Authors
    Centers for Medicare & Medicaid Services
    Time period covered
    Jul 1, 2011 - Jun 30, 2014
    Description

    In October 2012, CMS began reducing Medicare payments for Inpatient Prospective Payment System hospitals with excess readmissions. Excess readmissions are measured by a ratio, by dividing a hospital’s number of “predicted” 30-day readmissions for heart attack, heart failure, and pneumonia by the number that would be “expected,” based on an average hospital with similar patients. A ratio greater than 1 indicates excess readmissions.

    Source: https://catalog.data.gov/dataset/hospital-readmission-reduction

  3. w

    Hospital Readmissions Reduction Program

    • data.wu.ac.at
    csv, json, xls
    Updated Dec 21, 2017
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    Medicare (2017). Hospital Readmissions Reduction Program [Dataset]. https://data.wu.ac.at/schema/public_opendatasoft_com/aG9zcGl0YWwtcmVhZG1pc3Npb25zLXJlZHVjdGlvbi1wcm9ncmFt
    Explore at:
    xls, json, csvAvailable download formats
    Dataset updated
    Dec 21, 2017
    Dataset provided by
    Medicare
    Description

    In October 2012, CMS began reducing Medicare payments for Inpatient Prospective Payment System hospitals with excess readmissions. Excess readmissions are measured by a ratio, by dividing a hospital’s number of “predicted” 30-day readmissions for heart attack, heart failure, pneumonia, chronic obstructive pulmonary disease, hip/knee replacement, and coronary artery bypass graft surgery by the number that would be “expected,” based on an average hospital with similar patients. A ratio greater than 1.0000 indicates excess readmissions.

  4. Hospital Readmissions Reduction Program

    • data.wu.ac.at
    application/unknown
    Updated Apr 4, 2018
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    U.S. Department of Health & Human Services (2018). Hospital Readmissions Reduction Program [Dataset]. https://data.wu.ac.at/schema/data_gov/OGY4Y2RmOWMtMTA0OC00Y2JmLWE4MjYtZDE3NWM1ODUzMzEz
    Explore at:
    application/unknownAvailable download formats
    Dataset updated
    Apr 4, 2018
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    In October 2012, CMS began reducing Medicare payments for Inpatient Prospective Payment System hospitals with excess readmissions. Excess readmissions are measured by a ratio, by dividing a hospital’s number of “predicted” 30-day readmissions for heart attack, heart failure, pneumonia, chronic obstructive pulmonary disease, hip/knee replacement, and coronary artery bypass graft surgery by the number that would be “expected,” based on an average hospital with similar patients. A ratio greater than 1.0000 indicates excess readmissions.

  5. d

    Hospital Readmission Reduction.

    • datadiscoverystudio.org
    csv, json, rdf, xml
    Updated Jul 14, 2017
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    (2017). Hospital Readmission Reduction. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/789d6d5de20048cfa330ed291c7f7000/html
    Explore at:
    csv, rdf, json, xmlAvailable download formats
    Dataset updated
    Jul 14, 2017
    Description

    description:

    In October 2012, CMS began reducing Medicare payments for Inpatient Prospective Payment System hospitals with excess readmissions. Excess readmissions are measured by a ratio, by dividing a hospital s number of predicted 30-day readmissions for heart attack, heart failure, and pneumonia by the number that would be expected, based on an average hospital with similar patients. A ratio greater than 1 indicates excess readmissions.

    ; abstract:

    In October 2012, CMS began reducing Medicare payments for Inpatient Prospective Payment System hospitals with excess readmissions. Excess readmissions are measured by a ratio, by dividing a hospital s number of predicted 30-day readmissions for heart attack, heart failure, and pneumonia by the number that would be expected, based on an average hospital with similar patients. A ratio greater than 1 indicates excess readmissions.

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Share
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Email
Click to copy link
Link copied
Close
Cite
United States (2020). Hospital Readmissions Reduction Program [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/hospital-readmissions-reduction-program

Hospital Readmissions Reduction Program

Explore at:
json, csv, rdf, xslAvailable download formats
Dataset updated
Oct 28, 2020
Dataset provided by
United States
Description

In October 2012, CMS began reducing Medicare payments for Inpatient Prospective Payment System hospitals with excess readmissions. Excess readmissions are measured by a ratio, calculated by dividing a hospital’s number of “predicted” 30-day readmissions for heart attack (AMI), heart failure (HF), pneumonia, chronic obstructive pulmonary disease (COPD), hip/knee replacement (THA/TKA), and coronary artery bypass graft surgery (CABG) by the number that would be “expected,” based on an average hospital with similar patients.

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