Renal failure is when the kidneys can no longer filter waste from the blood effectively.
| Total Medicare Inpatient Hospital Hospitalizations ( Renal Failure as a Primary or Secondary Diagnosis ) | Total Medicare Inpatient Hospital Payments ( Renal Failure as a Primary or Secondary Diagnosis ) | Total Medicare Inpatient Hospital Hospitalizations ( Renal Failure as a Primary Diagnosis ) | Total Medicare Inpatient Hospital Payments ( Renal Failure as a Primary Diagnosis ) | Medicare Cost per Hospitalization ( Renal Failure as a Primary Diagnosis ) | Total Medicare Inpatient Hospital Hospitalizations ( Renal Failure in Hospital ) | Total Medicare Inpatient Hospital Payments ( Renal Failure in Hospital ) | Total Medicare Inpatient Hospital Hospitalizations when Renal Failure was a Primary or Secondary Diagnosis for 30 Day Readmission | Total Medicare Inpatient Hospital Payments when Renal Failure was a Primary or Secondary Diagnosis for 30 Day Readmission | Total Medicare Inpatient Hospital Hospitalizations when Renal Failure was a Primary Diagnosis for 30 Day Readmission | Total Medicare Inpatient Hospital Payments when Renal Failure was a Primary Diagnosis for 30 Day Readmission | Medicare Cost per 30 Day Readmission when Renal Failure was a Primary Diagnosis for 30 Day Readmission | Total Readmissions with Renal Failure at Index (Primary or Secondary) | Total Readmission Rate with Renal Failure at Index (Primary or Secondary) | Total Readmission Medicare Payments with Renal Failure at Index (Primary or Secondary) | Total Medicare Cost per Readmission with Renal Failure at Index (Primary or Secondary) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| National | 18,821,242 | |||||||||||||||
| New York | 968,414 | |||||||||||||||
| Kings, NY | 115,994 | |||||||||||||||
| Suffolk, NY | 95,694 | |||||||||||||||
| Queens, NY | 85,378 | |||||||||||||||
| Nassau, NY | 75,120 | |||||||||||||||
| New York, NY | 72,282 | |||||||||||||||
| Bronx, NY | 58,772 | |||||||||||||||
| Westchester, NY | 55,122 | |||||||||||||||
| Erie, NY | 35,330 | |||||||||||||||
| Monroe, NY | 26,996 | |||||||||||||||
| Onondaga, NY | 25,716 |
Data Source: Dexur sourced raw anonymized claims data from Medicare and then performed quality outcomes analysis based on ICD codes specific to the disease / condition.
Disease Incidence Rate: Number of hospitalizations with disease as a percentage of total hospitalizations. In hospital incidence rates are when the disease / condition is developed within the hospital and was not present at the time of admission.
All Cause 30 Day Readmissions with Renal Failure at Index Hospitalization: Rate of patients readmitted to the hospital within 30 days (to any hospital) for any cause when a specific condition was present at time of Hospitalization (Index Hospitalization). All Cause 30 Day Readmission rates are also calculated separately when the disease was present on the hospitalization and without it.
30 Day Readmission Rates with Disease: Rate Number of patients readmitted to the hospital within 30 days (to any hospital) for that specific disease.
Average Length of Stay (LOS): The sum of total days across all stays divided by total stays / hospitalizations. Avg. LOS is also calculated separately when the disease was present on the hospitalization and without it.
Mortality Rate: Percent of patients who expire in hospital. Mortality rates are also calculated separately when the disease was present on the hospitalization and without it.
Revenue per Day: The sum of payments divided by the total number of patient-days in hospital. Revenue per day is also calculated separately when the disease was present on the hospitalization and without it.