This chart displays the total number of discharges per hospital by discharge year for the hospitals with the largest number of discharges. To view a hospital that is not included in the initial visualization, explore the different filter conditions. To expand the view from the initial hospitals shown, you may uncheck the preselected filter and choose your own parameters.

The chart is based on data collected on patients and hospital discharges in the Statewide Planning and Research Cooperative System (SPARCS).

Not all hospitals are shown in the initial visualization display. To expand the display, explore the different filter options.

The SPARCS data has been divided into two distinct datasets, Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility to preserve the confidentiality of identifiable individual information.

This dataset includes the facility names.

For more information check out http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset..

This chart displays the total number of inpatient discharges per hospital by type of insurance for the hospitals with the largest number of discharges.

The chart is based on data collected on patients and hospital discharges in the Statewide Planning and Research Cooperative System (SPARCS).

Not all hospitals are shown in the initial visualization display. To expand the display, explore the different filter options.

The SPARCS data has been divided into two distinct datasets, Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility to preserve the confidentiality of identifiable individual information.

This dataset includes the facility names.

For more information check out http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This line chart compares the median cost vs. median charge for cesarean deliveries with a minor severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset..

This line chart compares the median cost vs. median charge for vaginal deliveries with a minor severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This column chart presents the number of cardiac procedures performed by hospital. It is important to note that Emergency PCI and Valve Surgery are reported only in 3-year increments. Comparing procedures reported in 3-year increments to those reported in single year increments (e.g. CABG to Valve or Non-Emergency PCI to Emergency PCI) may lead to incorrect conclusions concerning procedural volume.

For more information check out:http://www.health.ny.gov/health_care/consumer_information/cardiac_surgery/.

This line chart compares the median cost vs. median charge for bipolar disorders with a moderate severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This line chart compares the median cost vs. median charge for chronic obstructive pulmonary disease with a moderate severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided. For more information, check out: http://www.health.ny.gov/statistics/sparcs/.

This line chart compares the median cost vs. median charge for cellulitis & other bacterial skin Infections with a moderate severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This line chart compares the median cost vs. median charge for chest pain with a minor severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This line chart compares the median cost vs. median charge for heart failure with a moderate severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This chart shows the full enrollment of Child Health Plus beneficiaries by calendar month and year. Child Health Plus is a government insurance program for eligible children through the month in which they turn nineteen, whose income and resources fall within program guidelines. For more information, check out: http://www.health.ny.gov/health_care/child_health_plus. The "About" tab contains additional details concerning this dataset.

Each dwelling visited by the HNP is classified into one of three periods based on the year it was built: before 1950 (“pre-1950”), built 1950-1978, or built after 1978. These periods relate to the general age of the housing. Older housing can present health and safety hazards to their residents. In addition, these groupings coincide with the presence of lead in paint, a health hazard for young children.
For dwellings visited by the Clinton County HNP, this chart displays the percent of homes built in each period by funding cycle. For example, the first set of bars shows the percent of dwellings that were built before 1950 during each of the 3 funding cycles. We can see that Clinton County has increased the percent of the oldest homes from about 10% in the first funding cycle to almost 30% during the current funding cycle. Looking at the orange bars, we see that during the current funding cycle, Clinton County’s HNP has visited about the same percentage of homes built in each time period.
The counties participating in the Healthy Neighborhoods Program can create this type of chart to view trends in how they are targeting their visits. For example, if a county wants to reach older homes, it may want to refocus its efforts on communities with older housing stock. The "About" tab contains additional details concerning this dataset.

This charts shows the aggregate number of Child Health Beneficiaries by insurer and month for 2015.
Child Health Plus is a government insurance program for eligible children through the month in which they turn nineteen, whose income and resources fall within program guidelines. To view the enrollment for a specific county, select the county filter under the "Filter" tab. To view the enrollment for a different eligibility year, create a chart using the "Visualize" tab. For more information check out: http://www.health.ny.gov/health_care/child_health_plus. The "About" tab contains additional details concerning this dataset.

This column chart presents the number of cardiac procedures performed in each region of New York State. Region is defined according to the geographic location of the hospital performing the procedure. The default view presents the number of PCIs and number of coronary artery bypass graft (CABG) surgeries performed in each region in NYS in 2010. Using the Filter Tab you may select different procedures, or regions. It is important to note that Emergency PCI and Valve Surgery are reported only in 3-year increments. Comparing the number of procedures reported during a 3-year time period to those reported in a single year (e.g. CABG to Valve or Non-Emergency PCI to Emergency PCI) may lead to incorrect conclusions concerning procedural volume.

This chart summarizes performance at regional and statewide levels. The average clinic score (percentage of "yes" responses) for each region is compared to the average clinic score across the entire state. The default view displays data for viral load suppression, a key outcome measure, but other indicators may be selected under the Filter tab. Additional information about each data point can be obtained by moving your cursor over it.

This overview may be useful for public health officers and researchers. It also enables individual providers and consumers to compare care in their region to that at a particular facility. It should be noted, however, that these are only relative comparisons for the purpose of continuous quality improvement; the statewide average is not intended to define a standard of acceptable performance. Also, the statistical significance of regional performance variation depends on the number of submissions per region, which varies considerably across the state. The "About" tab contains additional details concerning this dataset.

This line chart compares the median costs vs. median charges for schizophrenia with a moderate severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This line chart compares the median cost vs. median charge for other pneumonia with a minor severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This line chart compares the median cost vs. median charge for major depressive disorders & other unspecified psychoses with a moderate severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This line chart compares the median cost vs. median charge for normal newborn or neonate w other problem with minor severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This line chart compares the median costs vs. median charges for renal failure with a major severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

The column chart shows rates of satisfaction with Medicaid managed care by year. The chart can be filtered by measure by changing the option under the filter tab. The chart uses statewide average rates of all insurance plans. Removing the statewide average filter is not recommended. For more information, check out http://www.health.ny.gov/health_care/managed_care/reports/quality_performance_improvement.htm. The "About" tab contains additional details concerning this dataset.

This chart shows the percentage of population enrolled in the Donate Life Organ and Tissue Donor Registry by year. The registry is a confidential database that records a person’s consent to organ/tissue donation upon death. The database is used by donation professionals to determine a person's donation status at the time of their death. For more information, check out: www.health.ny.gov/donatelife. The "About" tab contains additional details concerning this dataset.

This chart shows the trend in percentage of preterm births for Albany county. It also shows the 2024 objective. To view the chart for a different county, create a new chart under the "Visualize" tab. This chart is based on the Prevention Agenda Tracking Indicators county level trend data set posted on this site. Each dataset consists of county level data for 68 health tracking indicators and sub-indicators for the Prevention Agenda 2019-2024: New York State’s Health Improvement Plan. A health tracking indicator is a metric through which progress on a certain area of health improvement can be assessed. The indicators are organized by the Priority Area of the Prevention Agenda as well as the Focus Area under each Priority Area. Each dataset includes tracking indicators for the five Priority Areas of the Prevention Agenda 2013-2018. The most recent year dataset includes the most recent county level data for all indicators. The trend dataset includes the most recent county level data and historical data, where available. Each dataset also includes the Prevention Agenda 2018 state targets for the indicators. Sub-indicators are included in these datasets to measure health disparities among socioeconomic groups. For more information, check out: https://www.health.ny.gov/prevention/prevention_agenda/. The "About" tab contains additional details concerning this dataset.

The chart shows risk adjusted Potentially Preventable Readmission rates by hospital for Medicaid enrollees beginning in 2011.
The Potentially Preventable Readmission (PPR) software created by 3M Health Information Systems, identifies hospital admissions clinically related to an initial admission within a specified time period. For this dataset, readmissions were evaluated within a 30-day time period from the discharge date of the initial hospital admission. A PPR may have resulted from a deficiency in the process of care and treatment at the initial hospitalization or lack of post discharge follow up. PPRs are not defined by unrelated events that occur post-discharge, such as admissions for trauma.
For each hospital, the total number of at risk admissions, the total number of observed PPR chains, the observed PPR rate, the expected PPR rate, and risk adjusted PPR rate are presented by year. For more information, check out http://www.health.ny.gov/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

This chart shows the potentially preventable emergency visit (PPV) risk adjusted rates per 100 for Medicaid beneficiaries by patient county and year. The datasets contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for Medicaid beneficiaries by patient county and patient zip code beginning in 2011.

The Potentially Preventable Visits (PPV) obtained from software created by 3M Health Information Systems, are emergency visits that may result from a lack of adequate access to care or ambulatory care coordination. These ambulatory sensitive conditions could be reduced or eliminated with adequate patient monitoring and follow up.

The rates were calculated using Medicaid inpatient and outpatient data for the numerator and Medicaid enrollment in the county or zip code for the denominator.

The observed, expected and risk adjusted rates for PPV are presented by either resident county (including a statewide total) or resident zip code (including a statewide total). For more information, check out: http://www.health.ny.gov/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.