This dataset contains Potentially Avoidable Antibiotic Prescribing observed and risk-adjusted rates for child Medicaid enrollees by provider county beginning in 2010.

Potentially Avoidable Antibiotic Prescriptions are antibiotic prescriptions filled for the treatment of acute respiratory infections for which antibiotics are not indicated, contributing to bacterial drug resistance. Index visits for acute respiratory infections and corresponding prescription fills were identified through the use of previously published methods.

The rates were calculated using Medicaid outpatient claims and encounters, and prescription drug data.

The observed and risk adjusted rates are presented by provider county (including a statewide total).

This dataset contains Potentially Avoidable Antibiotic Prescribing observed and risk-adjusted rates for adult Medicaid enrollees by provider county beginning in 2010.

Potentially Avoidable Antibiotic Prescriptions are antibiotic prescriptions filled for the treatment of acute respiratory infections for which antibiotics are not indicated, contributing to bacterial drug resistance. Index visits for acute respiratory infections and corresponding prescription fills were identified through the use of previously published methods.

The rates were calculated using Medicaid outpatient claims and encounters, and prescription drug data.

The observed and risk adjusted rates are presented by provider county (including a statewide total).

The primary purpose for the Provider Network Data System is to collect data needed to evaluate the provider networks including physicians, hospitals, labs, home health agencies, durable medical equipment providers, etc., for all types of health plans in New York State. Beginning in 2017, the PNDS includes Medicaid Managed Care (MMC), HIV Special Need Plans (SNP), Health and Recovery Plans (HARP), Child Health Plus (CHP), Programs of All-Inclusive Care for the Elderly (PACE), Non-PACE Managed Long-Term Care (MLTC) plans, Qualified Health Plans (QHP), Essential Plans (EP), and commercial plans (commercial plan reporting will be incomplete until Q2 2017). This dataset reflects individual provider data. Provider Network Data System information is self-reported by health plans. The PNDS data dictionary can be found at http://www.health.ny.gov/health_care/managed_care/docs/dictionary.pdf . To use the NYS Provider & Health Plan Look-Up Tool, click on the following link, https://pndslookup.health.ny.gov/ .

The primary purpose for the Provider Network Data System is to collect data needed to evaluate the provider networks including physicians, hospitals, labs, home health agencies, durable medical equipment providers, etc., for all types of health plans in New York State. Beginning in 2017, the PNDS includes Medicaid Managed Care (MMC), HIV Special Need Plans (SNP), Health and Recovery Plans (HARP), Child Health Plus (CHP), Programs of All-Inclusive Care for the Elderly (PACE), Non-PACE Managed Long-Term Care (MLTC) plans, Qualified Health Plans (QHP), Essential Plans (EP), and commercial plans. This dataset reflects institutional provider data. Provider Network Data System information is self-reported by health plans. The PNDS data dictionary can be found at http://www.health.ny.gov/health_care/managed_care/docs/dictionary.pdf . To use the NYS Provider & Health Plan Look-Up Tool, click on the following link: https://pndslookup.health.ny.gov/ .

This dataset includes all animals submitted to the rabies laboratory for testing. It includes the total number of submissions, submissions per county, type of animal submitted, and total number of positive specimens.

This dataset includes all animals submitted to the Rabies Laboratory for testing across New York state, including the total number of submissions, submissions per county, type of animal submitted, and total number of positive specimens. This does not include New York City submissions. To view the published rabies reports on the Health Department's website, visit https://www.wadsworth.org/programs/id/rabies/reports.

The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified downloadable 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 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 map includes the name and location of active Temporary Residences operating in New York State. Active Temporary Residences include only facilities that were categorized as active (i.e., hotel, motel, or cabin colony occupied by or maintained for the occupancy by 11 people or more) 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 Subpart 7-1 of the New York State Code of Rules and Regulations that were identified during that inspection. Additionally, the data includes the Temporary Residence owner-operator, building type, number of sleeping rooms within the facility, and whether a pool, beach, or food service establishment is operated as part of the facility. The location of the Temporary Residence includes its street address, city, state, zip code, municipality, and county.

This print image version of the Institutional Cost Report (ICR) has been audited by the DOH. is 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. For more information, check out: http://www.health.ny.gov/facilities/hospital/

This version of the Institutional Cost Report (ICR) has been audited by a Certified Public Accounting Firm. The ICR is a uniform report completed by New York State 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. For more information, check out: http://www.health.ny.gov/facilities/hospital/index.htm

This print image version of the Institutional Cost Report (ICR) has been audited by the DOH. is 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. For more information, check out: http://www.health.ny.gov/facilities/hospital/index.htm

This version of the Institutional Cost Report (ICR) has been audited by a Certified Public Accounting Firm. The ICR is a uniform report completed by New York State 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. For more information, check out: http://www.health.ny.gov/facilities/hospital/index.htm

This map contains information on the adult life stage collection and testing results of blacklegged ticks (most commonly seen in fall and late winter/early spring) from various locations across New York State. These ticks were tested in “pools”, groups of up to ten ticks per sample, for the human pathogen Powassan virus, also known as Deer tick virus. This map helps generate awareness on the tick populations that had pools that tested positive for Powassan virus.

The data presented here also depicts the number of sites sampled per county, as well as the total number of ticks tested. Both tick density and pathogen infection percentage can vary greatly within a very small area, and definitely vary widely within a county. Therefore, these data should not be used to broadly predict disease risk for a larger or smaller area, such as for the county or the town. They should be used simply to educate that there is a risk to ticks and tick-borne diseases.

Further below on this page you can find links to the Department of Health tick prevention page, a video link on how to safely remove a tick should it attach, and a link to a list of county health departments.

This dataset provides the results from collecting and testing nymph deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen.

Nymph deer ticks are tested in “pools”, or groups of up to ten adult ticks per pool, for the Powassan virus, also known as Deer tick virus. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

These data only provide nymph tick minimum infection rates at a precise location and at one point in time. Both measures, tick population density and minimum infection percentages, can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.

Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

This dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen.

Adult deer ticks are tested in “pools”, or groups of up to ten adult ticks per pool, for the Powassan virus, also known as Deer tick virus. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

These data only provide adult tick minimum infection rates at a precise location and at a point in time. Both measures, tick population density and minimum infection percentages, can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.

Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

This interactive chart provides the average number of nymph deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis, collected per 1,000 meters sampled in the county (tick population density). Use the filters below to compare counties by year.

Collection and testing take place across New York State (excluding New York City) from May to September, when nymph deer ticks are most commonly seen. Tick population density can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

This interactive chart provides the average number of adult deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis, collected per 1,000 meters sampled in the county (tick population density). Use the filters below to compare counties by year.

Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen. Tick population density can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

This dataset provides the results from collecting and testing adult deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis. Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen.

Adult deer ticks are individually tested for different bacteria and parasites, which includes the bacteria responsible for Lyme disease. These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

These data only provide adult tick infections at a precise location and at one point in time. Both measures, tick population density and percentage, of ticks infected with the specified bacteria or parasite can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.

Further below on this page you can find links to tick prevention tips, a video on how to safely remove a tick, and more datasets with tick testing results. Interactive charts and maps provide an easier way to view the data.

The primary purpose for the Provider Network Data System is to collect data needed to evaluate the provider networks including physicians, hospitals, labs, home health agencies, durable medical equipment providers, etc., for all types of health plans in New York State. Beginning in 2017, the PNDS includes Medicaid Managed Care (MMC), HIV Special Need Plans (SNP), Health and Recovery Plans (HARP), Child Health Plus (CHP), Programs of All-Inclusive Care for the Elderly (PACE), Non-PACE Managed Long-Term Care (MLTC) plans, Qualified Health Plans (QHP), Essential Plans (EP), and commercial plans (commercial plan reporting will be incomplete until Q2 2017). This dataset reflects individual provider data. Provider Network Data System information is self-reported by health plans. The PNDS data dictionary can be found at http://www.health.ny.gov/health_care/managed_care/docs/dictionary.pdf . To use the NYS Provider & Health Plan Look-Up Tool, click on the following link, https://pndslookup.health.ny.gov/ .

The primary purpose for the Provider Network Data System is to collect data needed to evaluate the provider networks including physicians, hospitals, labs, home health agencies, durable medical equipment providers, etc., for all types of health plans in New York State. Beginning in 2017, the PNDS includes Medicaid Managed Care (MMC), HIV Special Need Plans (SNP), Health and Recovery Plans (HARP), Child Health Plus (CHP), Programs of All-Inclusive Care for the Elderly (PACE), Non-PACE Managed Long-Term Care (MLTC) plans, Qualified Health Plans (QHP), Essential Plans (EP), and commercial plans. This dataset reflects institutional provider data. Provider Network Data System information is self-reported by health plans. The PNDS data dictionary can be found at http://www.health.ny.gov/health_care/managed_care/docs/dictionary.pdf . To use the NYS Provider & Health Plan Look-Up Tool, click on the following link: https://pndslookup.health.ny.gov/ .

This dataset includes the name and location of active Temporary Residences operating in New York State. Active Temporary Residences include only facilities that were categorized as active (i.e., hotel, motel, or cabin colony occupied by or maintained for the occupancy by 11 people or more) 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 Subpart 7-1 of the New York State Code of Rules and Regulations that were identified during that inspection. Additionally, the data includes the Temporary Residence owner-operator, building type, number of sleeping rooms within the facility, and whether a pool, beach, or food service establishment is operated as part of the facility. The location of the Temporary Residence includes its street address, city, state, zip code, municipality, and county.

The Nursing Home Cost Report (RHCF) is a uniform report completed by New York nursing homes to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations (Part 86-2.2), nursing homes are required to file financial and statistical data with DOH annually. The data filed is part of the cost report 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.