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Energy & Environment
Dataset
The Energy Efficiency programs of the New York Power Authority provide energy-efficiency improvements, with no up-front costs, to public schools and other government facilities. From start to finish, the Power Authority works with facility managers to identify, design and install new lighting and motors, as well as upgrades to heating, ventilation and air-conditioning systems. We try to address all energy efficiency improvements in a single, comprehensive effort. This data set contains information on energy efficiency projects completed since 1987. The data set is updated in a quarterly basis to reflect new data as projects are implemented. The information includes project location, customer name, project name, total cost, and energy efficiency benefits, including energy reduction (electric, natural gas, oil) and greenhouse gas emissions reductions.
Tags efficiency energy renewables
API Docs
Updated
August 14 2024
Views
6,800

Health
Federated data Data Provided by health.data.ny.gov
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).
Tags all payer dsrip efficiency pqi prevention quality indicator and 3 more
API Docs
Updated
November 18 2024
Views
20

Health
Federated data Data Provided by health.data.ny.gov
Dataset
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.
Tags dsrip efficiency medicaid pqi prevention quality indicator and 2 more
API Docs
Updated
December 5 2016
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Dataset
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.
Tags dsrip efficiency medicaid pqi prevention quality indicator and 2 more
API Docs
Updated
December 13 2016
Views
0

Health
Federated data Data Provided by health.data.ny.gov
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. 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.
Tags dsrip efficiency inpatient medicaid pdi and 3 more
API Docs
Updated
December 16 2016
Views
15

Health
Federated data Data Provided by health.data.ny.gov
Chart
This chart shows the potentially preventable emergency visit (PPV) risk adjusted rates per 100 for Medicaid beneficiaries by patient county and year. The datasets contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for Medicaid 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 Medicaid inpatient and outpatient data for the numerator and Medicaid enrollment in the county or zip code for the denominator.
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/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.
Tags dsrip efficiency emergency medicaid outpatient and 4 more
Updated
September 9 2016
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Chart
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.
Tags all payer efficiency inpatient potentially preventable readmission ppr and 3 more
Updated
January 24 2018
Views
0

Health
Federated data Data Provided by health.data.ny.gov
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.
Tags dsrip efficiency inpatient medicaid pdi and 3 more
API Docs
Updated
February 8 2017
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Dataset
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).
Tags all payer county dsrip efficiency pqi and 4 more
API Docs
Updated
November 18 2024
Views
42

Energy & Environment
File or Document
The Residential Building Stock Assessment (RBSA) published in 2019 is the first update to the 2015 Residential Statewide Baseline Study (RSBS) of New York State. This New York State Energy Research Development Authority (NYSERDA)-led assessment is a research study designed to inform future New York State energy planning efforts. The overall objective of this study is to understand the current residential building stock, new and existing residential single-family homes, and associated energy use, including saturation of energy consuming equipment by fuel, penetration of energy-efficient equipment, and information on building characteristics and energy management practices. Study results will inform future energy planning, and identify and design potential energy efficiency programs to help homeowners and occupants across the State increase energy efficiency and reduce energy consumption. The study was completed using 456 on-site inspections and 2,419 online and telephone surveys. This dataset represents only the data collected from surveys conducted from September 28, 2018 to December 3, 2018. The on-site inspections are a subset from the online and telephone survey respondents. On-site inspections were conducted between October 10, 2018 and December 15, 2018.
For the data collected from on-site inspections, see the RBSA 2018 on-site dataset at https://data.ny.gov/d/3drn-bhzv.
The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.
Tags efficiency energy environment existing homes mw and 6 more
Updated
February 7 2020
Views
5,370

Health
Federated data Data Provided by health.data.ny.gov
Dataset
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).
Tags antibiotics efficiency medicaid outpatient respiratory infection
API Docs
Updated
November 22 2022
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Chart
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.
Tags all payer efficiency inpatient potentially preventable complication ppc and 3 more
Updated
January 3 2025
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Chart
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.
Tags dsrip efficiency inpatient medicaid pdi and 3 more
Updated
August 24 2016
Views
0

Energy & Environment
File or Document
The Residential Building Stock Assessment (RBSA) published in 2019 is the first update to the 2015 Residential Statewide Baseline Study (RSBS) of New York State. This New York State Energy Research Development Authority (NYSERDA)-led assessment is a research study designed to inform future New York State energy planning efforts. The overall objective of this study is to understand the current residential building stock, new and existing residential single-family homes, and associated energy use, including saturation of energy consuming equipment by fuel, penetration of energy-efficient equipment, and information on building characteristics and energy management practices. Study results will inform future energy planning, and identify and design potential energy efficiency programs to help homeowners and occupants across the State increase energy efficiency and reduce energy consumption. The study was completed using 456 on-site inspections and 2,419 online and telephone surveys. This data set represents only the data collected from on-site inspections conducted between October 10, 2018 and December 15, 2018. The on-site inspections are a subset from the online and telephone survey respondents. Surveys were conducted from September 28, 2018 to December 3, 2018.
For the data collected from the online and telephone surveys, see the RBSA 2018 Survey dataset at https://data.ny.gov/d/uz7h-xnak.
The New York State Energy Research and Development Authority (NYSERDA) offers objective information and analysis, innovative programs, technical expertise, and support to help New Yorkers increase energy efficiency, save money, use renewable energy, and accelerate economic growth. reduce reliance on fossil fuels. To learn more about NYSERDA’s programs, visit nyserda.ny.gov or follow us on Twitter, Facebook, YouTube, or Instagram.
Tags efficiency energy environment existing homes mw and 5 more
Updated
February 7 2020
Views
5,443

Health
Federated data Data Provided by health.data.ny.gov
Chart
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..
Tags all payer efficiency inpatient potentially preventable complication ppc and 3 more
Updated
January 3 2025
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Chart
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.
Tags all payer efficiency inpatient potentially preventable complication ppc and 3 more
Updated
January 3 2025
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Chart
The charts shows observed vs. expected Potentially Preventable Readmission rates by hospital for all payer beneficaries.
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.
Tags all payer efficiency inpatient potentially preventable readmission ppr and 3 more
Updated
January 24 2018
Views
0

Health
Federated data Data Provided by health.data.ny.gov
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.
Tags all payer dsrip efficiency inpatient potentially preventable complication and 4 more
API Docs
Updated
January 3 2025
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Dataset
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).
Tags antibiotics efficiency medicaid outpatient respiratory infection
API Docs
Updated
November 22 2022
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Dataset
The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for all payer beneficiaries beginning in 2009.
Tags all payer dsrip efficiency inpatient potentially preventable readmission and 4 more
API Docs
Updated
March 22 2018
Views
19

Health
Federated data Data Provided by health.data.ny.gov
Chart
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.
Tags all payer efficiency inpatient pdi prevention quality indicator and 3 more
Updated
November 18 2024
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Chart
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.
Tags all payer efficiency emergency outpatient potentially preventable visits and 4 more
Updated
July 19 2024
Views
0

Health
Federated data Data Provided by health.data.ny.gov
Dataset
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).
Tags all payer dsrip efficiency inpatient pdi and 4 more
API Docs
Updated
November 18 2024
Views
0

Health
Federated data Data Provided by health.data.ny.gov
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.
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).
Tags all payer dsrip efficiency emergency outpatient and 5 more
API Docs
Updated
July 19 2024
Views
20

Health
Federated data Data Provided by health.data.ny.gov
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.
Tags all payer dsrip efficiency inpatient inpatient quality indicator and 4 more
API Docs
Updated
October 22 2024
Views
0