This line chart shows the observed vs. expected Potentially Preventable Complication (PPC) rates for all payer beneficiaries by hospital.

The chart is based on a dataset that contains Potentially Preventable Complications (PPC) observed, expected, and risk-adjusted rates for all payer beneficiaries by hospital beginning in 2009. The Potentially Preventable Complications (PPC), obtained from
software created by 3M Health Information Systems, are
harmful events or negative outcomes that develop after hospital
admission and may result from processes of care and treatment
rather than from natural progression of the underlying illness
and are therefore potentially preventable.
The rates were calculated using Statewide Planning and
Research Cooperative System (SPARCS) inpatient data.
The observed, expected and risk adjusted rates for PPC are
presented by hospital (including a statewide total).

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 trend in statewide observed rates of Potentially Preventable Complications (PPC) for all payer beneficiaries beginning in 2013.

The chart is based on a dataset that contains Potentially Preventable Complications (PPC) observed, expected, and risk-adjusted rates for all payer beneficiaries by hospital beginning in 2009.

The Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are harmful events or negative outcomes that develop after hospital admission and may result from processes of care and treatment rather than from natural progression of the underlying illness and are therefore potentially preventable.

The rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data.

The observed, expected and risk adjusted rates for PPC are presented by hospital (including a statewide total). For more information, check out:
http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This chart shows risk adjusted rates per 10,000 discharges of Potentially Preventable Complications (PPC) for all payer beneficiaries by hospital.
The chart is based on a dataset that contains Potentially Preventable Complications (PPC) observed, expected, and risk-adjusted rates for all payer beneficiaries by hospital beginning in 2009.

The Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are harmful events or negative outcomes that develop after hospital admission and may result from processes of care and treatment rather than from natural progression of the underlying illness and are therefore potentially preventable.

The rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data.

The observed, expected and risk adjusted rates for PPC are presented by hospital (including a statewide total). For more information, check out:
http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

The dataset shows Potentially Preventable Complication (PPC) measures for the 36 major PPCs combined; providing observed, expected, and risk-adjusted rates and counts for all payer discharges by hospital and statewide, beginning in 2013.

Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are defined as harmful events or negative outcomes that develop or occur during hospitalization and may result from processes of care and treatment rather than from natural progression of the underlying illness.

The PPCs were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data.

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.

The rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient and outpatient data and Claritas population information.

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).

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.

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.

The rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient and outpatient data and Claritas population information.

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/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

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.

This dataset shows the lead testing in school drinking water sampling and results information reported by each NYS public school and Boards of Cooperative Educational Services (BOCES) for Compliance Period 2023-2025.

Public Health Law (Section 1110) and New York State (NYS) Department of Health regulation (10 NYCRR 67-4) mandate that NYS public school districts and BOCES test drinking water for lead contamination and report the results to parents, the NYS Department of Health, NY State Education Department, and local health departments. The regulation requires school districts and BOCES to test at least every three years or at an earlier time as determined by the Commissioner of Health. This dataset shows the results of lead testing in school drinking water reported by each public school district and BOCES for Compliance Period 2023-2025.

Additional information about the Lead Testing in School Drinking Water program may be found here:
http://www.health.ny.gov/environmental/water/drinking/lead/lead_testing_of_school_drinking_water.htm

This dataset contains an annual summary of the number of infants receiving a dose of hepatitis B vaccine within 3 days of birth at hospitals around the state. The data is extracted from the New York Statewide Perinatal Data System and includes only live birth infants weighing at least 2,000 grams at birth.

This dataset contains an annual summary of the number of infants receiving a dose of hepatitis B vaccine within 3 days of birth at hospitals around the state. The data is extracted from the New York Statewide Perinatal Data System and includes only live birth infants weighing at least 2,000 grams at birth.

This chart shows the percent of infants receiving a dose of hepatitis B vaccine within 3 days of birth by hospital. The data is extracted from the New York Statewide Perinatal Data System and includes only live birth infants weighing at least 2,000 grams at birth. For more information, check out: http://www.health.ny.gov/prevention/immunization/. The "About" tab contains additional details concerning this dataset.

This chart shows the percent of infants receiving a dose of hepatitis B vaccine within 3 days of birth by hospital. The data is extracted from the New York Statewide Perinatal Data System and includes only live birth infants weighing at least 2,000 grams at birth. For more information, check out: http://www.health.ny.gov/prevention/immunization/. The "About" tab contains additional details concerning this dataset.

This dataset contains an annual summary of the number of infants receiving a dose of hepatitis B vaccine within 3 days of birth at hospitals around the state. The data is extracted from the New York Statewide Perinatal Data System and includes only live birth infants weighing at least 2,000 grams at birth. For more information, check out: http://www.health.ny.gov/prevention/immunization/. The "About" tab contains additional details concerning this dataset.

This dataset contains an annual summary of the number of infants receiving a dose of hepatitis B vaccine within 3 days of birth at hospitals around the state. The data is extracted from the New York Statewide Perinatal Data System and includes only live birth infants weighing at least 2,000 grams at birth. For more information, check out: http://www.health.ny.gov/prevention/immunization/.

This quarterly report contains self-reported and unaudited demographic and bed availability information reported by Adult Care Facilities (ACFs). The regulations governing the operation of Adult Care Facilities (ACFs) – Standards for Adult Homes 487.10(e)(2), Adult Care Facilities Standards for Enriched Housing Programs 488.10(e)(4), and Standards for Residences for Adults 490.10(e)(4) – require each operator to submit a quarterly statistical information report.

Public access to the ACF census is solely intended to allow for a convenient and immediate means of acquiring public information on adult care facilities licensed by the Department. Available bed and census information in adult care facilities is self-reported and is not audited by the Department. While all attempts are made to provide accurate, current, and reliable information, the Department recognizes the possibility of human and/or mechanical error and that information captured at a point in time often becomes obsolete. Therefore, the Department, its employees, officers, and agents make no representation, warranty, or guarantee as to the accuracy, completeness, currency, or suitability of the information provided here. Information is self-reported and is not audited by the Department. This data does not reflect the quality of services provided by any specific provider. Please note, “Redacted” information (R) contained in the census is removed in order to protect individually identifiable information and stay within the HIPAA guidelines and information noted as “Not Available” (N/A) is census information that was not requested at the time of the reporting period.

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 Justice Center for the Protection of People with Special Needs was established in 2013 by the Protection of People with Special Needs Act. The Department adopted regulations to define those adult care facilities that, based on licensed capacity coupled with self-reported quarterly census data, are subject to the conjoined jurisdiction of the New York State Department of Health and the Justice Center for the Protection of People with Special Needs (“Justice Center”). Adult care facilities that are determined to be subject to the conjoined jurisdiction of the New York State Department of Health and the Justice Center are the entities listed in this dataset. For information on how to file a complaint, please refer to the "Notes" section below. For more information about the Justice Center visit https://www.justicecenter.ny.gov/ .

The dataset contains observed, expected, and risk-adjusted rates for the Agency for Healthcare Research and Quality Pediatric Quality Indicators – Pediatric (AHRQ PDI) beginning in 2009. The AHRQ 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 resident zip code (including a statewide total).

The dataset contains observed, expected, and risk-adjusted rates for the Agency for Healthcare Research and Quality Pediatric Quality Indicators – Pediatric (AHRQ PDI) beginning in 2009.
The AHRQ 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 resident county (including a statewide total).

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.

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).

This 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. This dataset is at the county level. The Agency for Healthcare Research and Quality (AHRQ) Prevention Quality Indicators (PQIs) 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. All PQIs apply only to adult populations (over the age of 18 years). The rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data and Claritas population information.

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).

This dataset includes the name and location of active mobile home parks operating in New York State. Active mobile home parks include only parks that were categorized as active (i.e., operating with accommodations for the placement of five or more mobile or manufactured homes) on the date the data was downloaded from a Department of Health database. This data also includes the date of the last inspection and violations of Part 17 of the New York State Code of Rules and Regulations that were identified during that inspection. Additionally, the data includes the park owner-operator, the number of sites within the park, the type of on-site water source and sewage disposal system serving the mobile home park, and whether a pool or beach is operated as part of the mobile home park. The location of the mobile home park includes its street address, city, state, zip code, municipality, and county.

A subset of the Mobile Home Parks: Last Inspection dataset, only showing locations with 51-100 sites.

This dataset includes the name and location of active mobile home parks operating in New York State. Active mobile home parks include only parks that were categorized as active (i.e., operating with accommodations for the placement of five or more mobile or manufactured homes) on the date the data was downloaded from a Department of Health database. This data also includes the date of the last inspection and violations of Part 17 of the New York State Code of Rules and Regulations that were identified during that inspection. Additionally, the data includes the park owner-operator, the number of sites within the park, the type of on-site water source and sewage disposal system serving the mobile home park, and whether a pool or beach is operated as part of the mobile home park. The location of the mobile home park includes its street address, city, state, zip code, municipality, and county.