Note: This dataset will be decommissioned and replaced by another in December 2018. A link to the new dataset will be provided once available.This dataset includes clinical laboratory confirmed cases of influenza that meet the New York State Department of Health’s (NYS DOH) case definition of a positive result on any of the following influenza laboratory tests: rapid antigen detection test (RAT), viral culture, reverse transcriptase polymerase chain reaction (RT-PCR) test, direct immunofluorescence antibody staining (DFA) test, and indirect immunofluorescence antibody staining (IFA) test.

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.

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.

The Adult Tobacco Survey (ATS) was developed by the New York Tobacco Control Program (NY TCP) in partnership with RTI International, the independent evaluator for the NY TCP. The survey has been fielded continually since June 2003 to the non-institutionalized adult population of New York State, aged 18 years or older.

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.

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.

This chart shows Gamma Radiation measurements for Ginna Station compared to background measurements collected. The chart view can be changed to show other years by changing this option under the Filter tab. If grey broken columns appear it means data was not collected for that instance. You will need to scroll through the table information to find the comment that will give additional information. Please note that this program 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). For more information, check out http://www.nyhealth.gov/radiation. 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 chart shows Gamma Radiation measurements for the West Valley site compared to background measurements collected. Note that the results for the "Fence Line at Waste Area" location are elevated compared to other locations. Elevated radiation levels are expected at this monitoring location due to its proximity to a High Level Radioactive Waste Storage Facility. This is an on-site location. Access to this location is controlled by the site operator. Based on historical data and changes in site activities, monitoring at several locations was discontinued in July 2012 and going forward. Present locations monitored, in addition to the "Fence Line at Waste Area," are "Rock Spring Road" and "Springville-Erie County." Monitoring for this location was done in 1995 only. If a grey broken column appears, this means data was not collected for that instance. You will need to scroll through the table information to find the comment that will give additional information. Please note that this program 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). For more information, check out http://www.nyhealth.gov/radiation. 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.

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 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 dataset is a summary of hospital inpatient discharges from every hospital including Article 28 facilities; Ambulatory Surgery and Emergency Department visits, from the Statewide Planning and Research Cooperative System (SPARCS). The data is rolled up by patient county of residence. This dataset was modified in September 2013 to be in sync with the release of the Hospital Inpatient Discharges (SPARCS De-Identified) datasets. Please refer to the data dictionary for information on the current data available.

The SPARCS data has been divided into two distinct datasets: Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility. This is to preserve the confidentiality of identifiable individual information.This dataset does not include facility names.

This dataset includes information on the number of positive tests of individuals for COVID-19 infection performed in New York State beginning March 1, 2020, when the first case of COVID-19 was identified in the state. The primary goal of publishing this dataset is to provide users timely information about local disease spread and reporting of positive cases. The data will be updated daily, reflecting tests reported by 12:00 am (midnight) three days prior. Data are published on a three-day lag in order to allow all test results to be reported.

Reporting of SARS-CoV2 laboratory testing results is mandated under Part 2 of the New York State Sanitary Code. Clinical laboratories, as defined in Public Health Law (PHL) § 571 electronically report test results to the New York State Department of Health (DOH) via the Electronic Clinical Laboratory Reporting System (ECLRS). The DOH Division of Epidemiology’s Bureau of Surveillance and Data System (BSDS) monitors ECLRS reporting and ensures that all results are accurate.

Test counts are based on specimen collection date. A person may have multiple specimens tested on one day, these would be counted one time, i.e., if two specimens are collected from an individual at the same time and then evaluated, the outcome of the evaluation of those two samples to diagnose the individual is counted as a single test of one person, even though the specimens may be tested separately. All positive test results that are at least 90 days apart are counted as cases/new positives.

New positive test counts are assigned to a county based on this order of preference: 1) the patient’s address, 2) the ordering healthcare provider/campus address, or 3) the ordering facility/campus address.

Archived versions of the reinfections dataset are also available:
First infections - https://health.data.ny.gov/d/xdss-u53e
Reinfections - https://health.data.ny.gov/d/7aaj-cdtu

This dataset includes the cumulative number of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date, patient county of residence, and patient fatalities that occurred based on the facility county. This dataset does not include fatalities related to COVID-19 disease that did not occur at a hospital, nursing home, or adult care facility. The primary goal of publishing this dataset is to provide users with information about healthcare facility fatalities among patients with lab-confirmed COVID-19 disease.

The information in this dataset is also updated daily on the NYS COVID-19 Tracker at https://www.ny.gov/covid-19tracker.
The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals, nursing homes, and adult care facilities are required to complete this survey daily. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in March 2020, while Nursing Homes and Adult Care Facilities began reporting in April 2020. It is important to note that fatalities related to COVID-19 disease that occurred prior to the first publication dates are also included.

The county fatality numbers in this dataset are calculated by summing the number of fatalities by patient county of residence and reporting date, and patient fatalities that occurred based on the facility county, respectively. The statewide fatality numbers are calculated by summing the number of fatalities across all patient counties of residence, and across all facilities by county, by reporting date, respectively. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.

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.

The charts shows risk adjusted rates of Potentially Preventable Readmissions by hospital for all payers beginning in 2009.
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/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.

New York State's Maternity Information Law requires each hospital to provide information about its childbirth practices and procedures. This information can help you to better understand what you can expect, learn more about your childbirth choices, and plan for your baby's birth.

The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for all payer beneficiaries beginning in 2009.

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 chart shows the trend in the number of New York State live births by the infant’s birth weight in grams beginning in 2008. 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 leading causes of death by sex and ethnicity in New York City in since 2007. Cause of death is derived from the NYC death certificate which is issued for every death that occurs in New York City.

Report last ran: 09/24/2019
Rates based on small numbers (RSE > 30) as well as aggregate counts less than 5 have been suppressed in downloaded data
Source: Bureau of Vital Statistics and New York City Department of Health and Mental Hygiene

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