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 dataset contains the location, legionella sampling results and operational status of cooling towers operating in New York State. The data is self-reported by the cooling tower operator according to Public Health Law, Section 225(5)(a) Subpart 4-1 – Cooling Towers. This dataset is a weekly snapshot of the data collected from the NYS Cooling Tower Registry Website it does not contain historical data.

The Child and Adult Care Food Program (CACFP) is a nutrition education and meal reimbursement program helping providers serve nutritious and safely prepared meals and snacks to children and adults in day care settings. This dataset includes the names and locations of participating day care sites and whether or not the site is Breastfeeding Friendly Certified with CACFP, participating in the Eat Well Play Hard in Child Care Settings (EWPHCCS) project, or participating in the Eat Well Play Hard in Day Care Homes (EWPHDCH) project. This dataset excludes Child and Adult Care Food Program participation provided at homeless shelters and legally-exempt day care home providers.

Not all counties in NYS are serviced by the grantees implementing the project EWPHCSS.

The EWPHDCH project is currently limited to the areas served by the contracted agencies.

The Child and Adult Care Food Program dataset is related to the Child Care Related Programs dataset on the www.Open.ny.gov website, however this dataset includes additional nutrition information. The Office of Children and Family Services (OCFS) is currently working to update the Child Care Related Programs dataset on a more frequent schedule with the OPEN NY team. OCFS and DOH will then be able to synchronize in the near future. Temporarily, DOH has omitted addresses for regulated child care providers that provide home care since this information is available on www.Open.ny.gov by using this link: https://data.ny.gov/Human-Services/Child-Care-Regulated-Programs/cb42-qumz.

For more information, please visit http://www.health.ny.gov/prevention/nutrition/cacfp/. The "About" tab contains additional details concerning this dataset.

The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for Medicaid enrollees beginning in 2011.

This map shows the overall score and quintile for each nursing home in the state. Quintiles are color coded, with green being the top (first) quintile and red being the bottom (fifth) quintile. The New York State Nursing Home Quality Initiative (NHQI) is an annual evaluation and ranking of eligible Medicaid-certified nursing homes in New York State. Nursing homes are evaluated on their performance in three components: Quality, Compliance, and Efficiency. Nursing homes are awarded points for their performance in each measure and ranked into overall quintiles, the first quintile containing the best performing homes. Refer to the Measures document to learn more about the specific measures in the NHQI, and the data sources and time frames used. Changes in measure specifications and the deletion or addition of measures will limit the ability to trend this data over time. The quality measures are based on past data and may not accurately reflect a nursing home’s most current quality performance. Refer to the Overview document for more information on the limitations of this dataset. The information in this dataset is intended to be used in conjunction with other sources for assessing quality of care in nursing homes, including in-person visits to a nursing home. The "About" tab contains additional details concerning this dataset.

The datasets contain number of Medicaid PQI hospitalizations (numerator), county Medicaid population (denominator), observed rate, expected number of hospitalizations and rate, and risk-adjusted rate for Agency for Healthcare Research and Quality Prevention Quality Indicators – Adult (AHRQ PQI) for Medicaid enrollees beginning in 2011.

This table displays the quintile cut points for the measures in the NHQI. Please refer to the data dictionary for more information on determining quintile assignments based on the quintile cut points for specific measures. It is possible to calculate the quintile cut points displayed in this table by using the facility-level data in the NHQI data set. Calculating the overall score quintiles from the data set will result in a slight difference in the quintile values due to adjustments to some facilities’ performances. The New York State Nursing Home Quality Initiative (NHQI) is an annual evaluation and ranking of eligible Medicaid-certified nursing homes in New York State. Nursing homes are evaluated on their performance in three components: Quality, Compliance, and Efficiency. Nursing homes are awarded points for their performance in each measure and ranked into overall quintiles, the first quintile containing the best performing homes. Refer to the Measures document to learn more about the specific measures in the NHQI, and the data sources and time frames used. Changes in measure specifications and the deletion or addition of measures will limit the ability to trend this data over time. The quality measures are based on past data and may not accurately reflect a nursing home’s most current quality performance. Refer to the Overview document for more information on the limitations of this dataset. The information in this dataset is intended to be used in conjunction with other sources for assessing quality of care in nursing homes, including in-person visits to a nursing home. The "About" tab contains additional details concerning this dataset.

The chart shows observed vs. expected Potentially Preventable Readmission rates by hospital for Medicaid enrollees in 2014.
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 point map shows the risk-adjusted Clostridium Difficile Infection (CDI) hospital onset infection rates reported for all acute care hospitals. The color of the points represent whether the adjusted rate is significantly higher, significantly lower, or not significantly different from the state average for the same year. All acute care hospitals are required to report certain hospital-acquired infections (HAIs) to the New York State Department of Health (NYSDOH). This includes central line-associated blood stream infections; surgical site infections following colon, hip replacement/revision, hysterectomy, and coronary artery bypass graft; Clostridium difficile infections, and carbapenem resistant Enterobacteriaceae infections. PLEASE NOTE: Because of the complicated nature of the risk-adjustment methodology used to produce the HAI rates, the advice of a statistician is recommended before attempting to manipulate the data. Hospital-specific risk-adjusted rates cannot simply be combined. In addition, due to NYSDOH validation audits which may involve data from both the current and previous calendar year, a revised data file will be published the year after the original data file was released. For more information, check out http://www.health.ny.gov/statistics/facilities/hospital/hospital_acquired_infections/. 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 dataset contains information on the names and locations of evidence-based self-management programs delivered by QTAC-NY partners, including street address, city, state, zip code, county, and Delivery System Reform Incentive Payment (DSRIP) Program region. It also contains information about the capacity of each implementation site to deliver specific self-management programs. The data will be updated on a yearly basis. The "About" tab contains additional details concerning this dataset.

The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the non-institutionalized adult household population, aged 18 years and older.

Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available.

For more information, check out http://www.health.ny.gov/statistics/brfss/.

This map shows the teen pregnancy rate per 1,000 females age 15 to 17 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower percentage of teen pregnancy. The darker shaded counties have a higher percentage of teen pregnancy. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This chart shows the overall risk adjusted rate per 100,000 for Medicaid prevention quality indicators for pediatric discharges by county and year.The datasets contain number of Medicaid PDI hospitalizations (numerator), county or zip Medicaid population (denominator), observed rate, expected number of hospitalizations and rate, and risk-adjusted rate for Agency for Healthcare Research and Quality Pediatric Quality Indicators – Pediatric (AHRQ PDI) for Medicaid enrollees beginning in 2011.

The Agency for Healthcare Research and Quality (AHRQ) Pediatric Quality Indicators (PDIs) are a set of population based measures that can be used with hospital inpatient discharge data to identify ambulatory care sensitive conditions. These are conditions where 1) the need for hospitalization is potentially preventable with appropriate outpatient care, or 2) conditions that could be less severe if treated early and appropriately. Both the Urinary Tract Infection and Gastroenteritis PDIs include admissions for patients aged 3 months through 17 years. The asthma PDI includes admissions for patients aged 2 through 17 years. Eligible admissions for the Diabetes Short-term Complications PDI includes admissions for patients aged 6 through 17 years.

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

The observed counts and rates, expected counts and rates, risk-adjusted rates and the difference between the number of observed and expected PDI hospitalizations for each AHRQ PDI 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.

This dataset is one of two datasets that contain observed and expected rates for Agency for Healthcare Research and Quality Prevention Quality Indicators – Adult (AHRQ PQI) beginning in 2009. The observed rates and expected rates for each AHRQ PQI is presented by either resident county (including a statewide total) or resident zip code (including a statewide total).

The point map shows the Central Line - Associated Blood Stream Infection (CLABSI) overall standardized infection ratio (SIR) reported for acute care hospitals. The SIR summarizes performance across different types of intensive care units and wards. The color of the points represent whether the infection ratio is significantly higher, significantly lower, or the same as the NYS average (SIR=1) for the same year. The infection ratio for some acute care hospitals cannot be compared to the NYS average infection ratio because there were less than 50 central line days. All acute care hospitals are required to report certain hospital-acquired infections (HAIs) to the New York State Department of Health (NYSDOH). This includes central line-associated blood stream infections in intensive care units; surgical site infections following colon, hip replacement/revision, hysterectomy, and coronary artery bypass graft; and Clostridium difficile infections. PLEASE NOTE: Because of the complicated nature of the risk-adjustment methodology used to produce the HAI rates, the advice of a statistician is recommended before attempting to manipulate the data. Hospital-specific risk-adjusted rates cannot simply be combined. In addition, due to NYSDOH validation audits which may involve data from both the current and previous calendar year, a revised data file will be published the year after the original data file was released. For more information, check out http://www.health.ny.gov/statistics/facilities/hospital/hospital_acquired_infections/. The "About" tab contains additional details concerning this dataset.

This is a graph of the iodine-131 concentration in air near the Nine Mile Point and James A. Fitzpatrick facilities. You can view other years by changing the "Sample date" filter and typing in the year you wish to view. Increases in concentration during March and April 2011 is due to the Fukushima accident. Increases in concentration that do not have a comment are within normal ranges. A column has been added for values which can be graphed. Readings where a less than value is displayed show a value that is less than the detection limit of the measurement method and are essentially equivalent to 0. Variations in detection limit are due to variations in sample collection and measurement instrument performance. For more information please visit http://www.nyhealth.gov/radiation. The "About" tab contains additional details concerning this dataset.

This dataset includes weekly counts of laboratory-confirmed influenza (flu) cases, by county and influenza type, going back to the 2009-10 season. The primary goal of this dataset is to provide users timely information about local influenza activity throughout the current influenza season. Although each influenza season is unique, historical data is also provided for trend comparison. In view of persisting elevated influenza activity throughout NYS, NYSDOH is extending the surveillance 2021-2022 season beyond May until influenza activity has decreased. In view of persisting elevated influenza activity throughout NYS, NYSDOH is extending the surveillance season beyond May until influenza activity has decreased.

Cases are included that meet the New York State Department of Health’s (NYSDOH) standardized case definition, i.e., a positive result on any of the following influenza laboratory tests:
• Rapid Influenza Diagnostic Tests (RIDT)
• Immunofluorescence assays (DFA and IFA)
• Rapid Molecular Assays
• Reverse Transcriptase Polymerase Chain Reaction (RT-PCR)
• Other Nucleic Acid Amplification tests
• Viral Culture
Please see the overview document for more details about NYSDOH’s influenza case definition. Cases reported during the CDC-defined influenza surveillance season (week 40-week 20 of the next calendar year; October through mid-May) are included. For more information see: http://www.health.ny.gov/diseases/communicable/influenza/surveillance/.

This data set contains statewide Medicaid beneficiary counts by valid NYS five-digit zip code. Also in this file are counts of beneficiaries who are dual eligible for Medicaid and Medicare, total inpatient admissions, and total emergency room visits.

This map shows the Lyme Disease incidence rate per 100,000 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower incidence rates of Lyme Disease. The darker shaded counties have higher incidence rates of Lyme Disease. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

The Cancer Mapping data consists of counts of newly diagnosed cancer among New York State residents and is in response to legislation regarding "Cancer incidence and environmental facility maps" signed into law in 2010 (Public Health Law §2401-B). The law specifies the publication of maps showing cancer counts for small geographic areas along with certain facilities regulated by the State Department of Environmental Conservation. The official web site is called Environmental Facilities and Cancer Mapping.

The dataset is ONLY for the cancer-related data fields on the Environmental Facilities and Cancer Mapping web site. This dataset includes observed counts for 23 separate anatomical sites at the level of census block group. Block groups are small geographic areas typically averaging 1,000 to 1,500 people. To protect confidentiality, each area contains a minimum of 6 total cancers among males and 6 total cancers among females.

For more information, check out http://www.health.ny.gov/statistics/cancer/registry/about.htm.

The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the non-institutionalized adult household population, aged 18 years and older.

Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available.

For more information, check out http://www.health.ny.gov/statistics/brfss/.

This dataset includes income eligibility guidelines for participation in the Special Supplemental Nutrition Program for Women, Infants and Children (WIC). The Special Supplemental Nutrition Program for Women, Infants and Children (WIC) offers nutrition education, breastfeeding support, referrals and a variety of nutritious foods to low-income pregnant, breastfeeding, or postpartum women, infants, and children up to age five to promote and support good health.

The Institutional Cost Report (ICR) is a uniform report completed by New York hospitals to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations, (Part 86-1.2), Article 28 hospitals are required to file financial and statistical data with DOH annually. The data filed is part of the ICR and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends. The ICR is a comprehensive compilation of exhibits that have been modified over time that users should consider when using the ICR dataset. It is possible that data is updated subsequent to posting on this website; therefore the data could become obsolete. To get the details related to the exhibits and data elements, please refer to the blank ICR form, the ICR Table of Contents, the ICR Instructions and the Glossary of Terms, Acronyms, and Abbreviations which are in the Supporting Information section of this site. The data posted as edited contains desk edit adjustments by DOH personnel. In 2009, this information was not audited; however effective with the 2010 ICR, all ICRs will be audited by a Certified Public Accounting Firm annually.

This is a graph of the tritium (HTO) concentration in fallout at the Albany County Health Department. You can view other years by changing the "Sample date" filter and typing in the year you wish to view. You can view the concentration of other isotopes by changing the "Isotope" filter, Increases in concentration during March and April 2011 is due to the Fukushima accident. Increases in concentration that do not have a comment are within normal ranges. A column has been added for values which can be graphed. Readings where a less than value is displayed show a value that is less than the detection limit of the measurement method and are essentially equivalent to 0. Variations in detection limit are due to variations in sample collection and measurement instrument performance. For more information please visit http://www.nyhealth.gov/radiation. The "About" tab contains additional details concerning this dataset.