This dataset measures the air and water near Indian Point 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.

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 shows the overall risk adjusted rate per 100,000 for hospital inpatient prevention quality indicators (all payers) for pediatric discharges by county and year. The dataset contains observed, expected, and risk-adjusted rates for Agency for Healthcare Research and Quality Pediatric Quality Indicators – Pediatric (AHRQ PDI) beginning in 2009.

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 Statewide Planning and Research Cooperative System (SPARCS) inpatient data and Claritas population information.

The observed, expected, risk-adjusted rates, and difference in rates, for each AHRQ PDI are presented by either resident county (including a statewide total). To view the data presented by resident zip code (including a statewide tota), go to: https://health.data.ny.gov/Health/Hospital-Inpatient-Prevention-Quality-Indicators-P/2xc5-n3zd. For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

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 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.

The Managed Long-Term Care (MLTC) performance data is an annual evaluation (semi-annual prior to 2022) of New York state-certified MLTC plans. Rates are calculated for each performance measure by plan and describe their population, quality of care, and enrollees’ satisfaction. These data also present the statewide demographic profile of MLTC enrollees and statewide rates of emergency room, hospital, and nursing home utilization. Refer to the Measures document to learn more about specific MLTC measures. In the future, as more evaluations are performed, measures can be trended over time. Refer to the Overview document for information on the data sources, time frames, and limitations of this dataset.

This map shows the total incentive payments disbursed to Eligible Professionals (EPs) and Eligible Hospitals (EHs) by county beginning in 2011, through the NY Medicaid Electronic Health Records (EHR) Incentive Program, a CMS Promoting Interoperability Program. The darker shading represents the counties that have received the most payments.
Authorized by the American Recovery and Reinvestment Act (ARRA) of 2009, this program provides multi-year financial incentives to EPs and EHs who adopt, implement, or upgrade, and subsequently demonstrate meaningful use, of Certified Electronic Health Record Technology (CEHRT).
For more information please visit: https://www.health.ny.gov/ehr.

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/.

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.

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 dataset represents self‐reported performance data by HIV ambulatory care programs. All HIV ambulatory programs throughout New York State with a significant HIV caseload (a total caseload of at least 30 HIV‐infected patients receiving ambulatory HIV care at one or more sites) are expected to self‐report their annual quality of care performance data using standardized submission tools and methodologies. With the assistance of the online eHIVQUAL application, performance data results are instantly available to HIV programs, allowing them to immediately utilize their data findings to prioritize upcoming quality activities, and are available for generating benchmarking reports across New York State. See Limitations regarding redaction of small‐population data.

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.

This chart shows the rate of hospitalizations for short- term complications of diabetes for the most recent data year by age range and county. It also shows the 2017 objective by age range. This chart is based on one of three datasets related to the Prevention Agenda Tracking Indicators county level data posted on this site. Each dataset consists of county level data for 68 health tracking indicators and sub-indicators for the Prevention Agenda 2013-2017: 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 2013-2017. 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 2017 state targets for the indicators. Sub-indicators are included in these datasets to measure health disparities among socioeconomic groups. For more information, check out: http://www.health.ny.gov/prevention/prevention_agenda/2013-2017/ and https://www.health.ny.gov/PreventionAgendaDashboard. 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.

This dataset contains monthly snapshots of the number of enrollments by population in the New York State Donate Life Registry beginning from 2008. 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.

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

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.

This map shows the locations of personal care or home health aid training programs approved by either the New York State Department of Health (NYSDOH) or New York State Education Department (NYSED). The map provides training information extracted from Home Care Registry (HCR) application. HCR is a web-based registry of all personal care and home health aides who have successfully completed a personal care 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 training functionality serves in a sense as the central repository of the individuals who have successfully completed State approved education or training programs for Home Health Aides and Personal Care Aides. The Training Programs are the sources for most of the training information available in HCR. This data is refreshed on monthly basis. For more information, visit
https://apps.health.ny.gov/professionals/home_care/registry/home.action. The "About" tab contains additional details concerning this dataset.

The datasets contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer 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.

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.

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.