This dataset contains the names, contact information, and county location for the federally authorized Organ Procurement Organizations (OPOs), as well as the New York State regulated Eye Banks and Tissue Banks. These organizations work closely with the Department of Health (DOH) to educate the public regarding the need for organ and tissue donation and to facilitate the enrollment of individuals in the New York State Donate Life Organ and Tissue Donor Registry. The contact information and service areas provided in this dataset are subject to change without DOH’s knowledge since the data is provided by independent OPOs, Eye Banks and Tissue Banks. For more information please visit, http://www.health.ny.gov/professionals/patients/donation/organ/. The "About" tab contains additional details concerning this dataset.

This dataset measures the air and water near Knolls Atomic Power Lab and other locations (background) around NYS to determine the normal levels of radioactivity and monitors the influence of human activities on these levels. The site numbers represent the location from which samples are collected. This dataset is not designed, or intended to monitor releases from discharge points at a specific facility (e.g., a stack). The facility operator performs this type of monitoring to meet the requirements of its licensing agency (e.g., a federal agency or the New York State Department of Environmental Conservation). 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.

This dataset measures the air, water, milk, fish, sediment, fruit/veg, and vegetation at Nine Mile Point and James A Fitzpatrick and other locations(background) around NYS to determine the normal levels of radioactivity and monitors the influence of human activities on these levels. The site numbers represent the location from which samples are collected. This dataset is not designed, or intended to monitor releases from discharge points at a specific facility (e.g., a stack). The facility operator performs this type of monitoring to meet the requirements of its licensing agency (e.g., a federal agency or the New York State Department of Environmental Conservation). 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.

This dataset measures the water and milk near the West Valley Demonstration Project site and other locations (background) around NYS to determine the normal levels of radioactivity and monitors the influence of human activities on these levels. The site numbers represent the location from which samples are collected. This dataset is not designed, or intended to monitor releases from discharge points at a specific facility (e.g., a stack). The facility operator performs this type of monitoring to meet the requirements of its licensing agency (e.g., a federal agency or the New York State Department of Environmental Conservation). 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.

The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.

The dataset contains information extracted from Home Care Registry (HCR) application. HCR is a web-based registry of all personal care aides and home health aides who have successfully completed a personal care aide or home health aide training program approved by either the New York State Department of Health (NYSDOH) or the New York State Education Department (NYSED). The dataset provides information about the training certificates issued in a specific region within the State of New York based on Certificate Type, Methodology, Language and the State Agency that approved the Training program that issued the Certificate. This dataset is refreshed on monthly basis. For more information, visit https://apps.health.ny.gov/professionals/home_care/registry/home.action.

Population data file is provided as an additional reference file when interpreting vital statistics death rates. The population data is derived from the corresponding release of the NCHS annual estimates of "Bridged Race Vintage" which are consistent with the Bureau of the Census estimates from "Vintage" (released in the summer). For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

This dataset contains the number of New York State live births by the infant’s birth weight in grams and the mother’s county of residence. The data presented here may not be the same as the Vital Statistics tables on the DOH public web due to data updates. For more information, check out: :http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.

The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).

The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.

All PSI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) PSI measures.

The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.

This dataset includes Medicaid Managed Care, Commercial HMO, and Commercial PPO performance data from the Quality Assurance Reporting Requirements (QARR) by member demographic characteristics. QARR is largely based on measures of quality developed and published by the National Committee for Quality Assurance (NCQA) Healthcare Effectiveness Data and Information Set (HEDIS®). Plans are required to submit quality performance data each year. Demographic information analyzed in this report includes members’ sex, age, race/ethnicity, Medicaid aid category, cash assistance status, behavioral health conditions including serious mental illness (SMI) and substance use disorder (SUD), payer status, and region of residence. Measuring the quality of care, and the ability to measure disparities in care is an important first step to a better understanding of the underlying factors that drive differences in care among certain populations within Medicaid Managed Care, Commercial HMO, and Commercial PPO.
These data are published annually for Medicaid Managed Care in the Health Care Disparities in New York State Report and on the NYSDOH web site: https://www.health.ny.gov/health_care/managed_care/reports/

There are two datasets related to the State Level Prevention Agenda Tracking Indicators posted on this site. Each dataset consists of 96 state-level health tracking indicators and sub-indicators for the Prevention Agenda 2013-2018: 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. Priority areas include Chronic Disease; Health and Safe Environment; Healthy Women, Infants and Children; Mental Health and Substance Abuse; and HIV, STDs, Vaccine Preventable Diseases and Healthcare Associated Infections. The most recent year dataset includes the most recent state level data for all indicators. The trend dataset includes the most recent state 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 racial, ethnic, and socioeconomic groups and persons with disabilities.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.

The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.

The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).

The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.

All PSI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) PSI measures.

The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).

The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.

All PSI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) PSI measures.

The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.

Effective January 16, 2013, regulations found at Section 486.7 of Part 486 and Part 487 of Title 18 of the Official Compilation of Codes, Rules and Regulations of the State of New York (NYCRR), were amended and adopted. Pursuant to § 487.13 (1), a transitional adult home is an adult home with a certified bed capacity of 80 beds or more in which 25 percent or more of the resident population are persons with serious mental illness as defined in subsection 487.2(c) of this Part.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.

The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).

The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.

All PSI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) PSI measures.

The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.

This dataset contains the number of New York State live births stratified by county of residence and gestation in weeks. The data presented here may not be the same as the Vital Statistics tables on the DOH public web due to data updates. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

This dataset contains the number of New York State live births stratified by the mother's race/ethnicity and county of residence. The data presented here may not be the same as the Vital Statistics tables on the DOH public web due to data updates. For more information, check out: : http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

This dataset contains opioid-related deaths by county. Opioid-related deaths include heroin and opioid analgesics mortalities.

This dataset contains death counts for selected causes of death by county and region. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/.

This dataset contains death counts and percent by county, region, and place of death. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/.

Note: This dataset is no longer being updated. For continued updates related to this information, please visit: https://www.health.ny.gov/statistics/opioid/#i_one. This dataset is a summary of inpatient discharges and outpatient visit data for opioid-related diagnosis. The data reflects selected diagnosis codes that include a range of poisonings by opiates, opium, heroin, methadone, and other related narcotics. Please refer to the data dictionary in the “About” section for information on the current data available.