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Tag > efficiency Cancella Tutto

Energy & Environment
Sequenza di dati
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.
Tag efficiency energy renewables
Documentazione API
Aggiornato
August 14 2024
Visualizzazioni
6.822

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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).
Tag all payer dsrip efficiency pqi prevention quality indicator e altri 3
Documentazione API
Aggiornato
November 18 2024
Visualizzazioni
20

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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.
Tag dsrip efficiency medicaid pqi prevention quality indicator e altri 2
Documentazione API
Aggiornato
December 5 2016
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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.
Tag dsrip efficiency medicaid pqi prevention quality indicator e altri 2
Documentazione API
Aggiornato
December 13 2016
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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.
Tag dsrip efficiency inpatient medicaid pdi e altri 3
Documentazione API
Aggiornato
December 16 2016
Visualizzazioni
15

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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).
Tag antibiotics efficiency medicaid outpatient respiratory infection
Documentazione API
Aggiornato
November 22 2022
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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.
Tag dsrip efficiency inpatient medicaid pdi e altri 3
Documentazione API
Aggiornato
February 8 2017
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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).
Tag all payer county dsrip efficiency pqi e altri 4
Documentazione API
Aggiornato
November 18 2024
Visualizzazioni
42

Energy & Environment
File o documento
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.
Tag efficiency energy environment existing homes mw e altri 6
Aggiornato
February 7 2020
Visualizzazioni
5.393

Energy & Environment
File o documento
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.
Tag efficiency energy environment existing homes mw e altri 5
Aggiornato
February 7 2020
Visualizzazioni
5.465

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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).
Tag antibiotics efficiency medicaid outpatient respiratory infection
Documentazione API
Aggiornato
November 22 2022
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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.
Tag all payer dsrip efficiency inpatient potentially preventable complication e altri 4
Documentazione API
Aggiornato
January 3 2025
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for all payer beneficiaries beginning in 2009.
Tag all payer dsrip efficiency inpatient potentially preventable readmission e altri 4
Documentazione API
Aggiornato
March 22 2018
Visualizzazioni
19

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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).
Tag all payer dsrip efficiency emergency outpatient e altri 5
Documentazione API
Aggiornato
July 19 2024
Visualizzazioni
20

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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).
Tag all payer dsrip efficiency inpatient pdi e altri 4
Documentazione API
Aggiornato
November 18 2024
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
Sepsis is defined as a clinical syndrome in which patients have an infection that is accompanied by an extreme systemic response. Sepsis of sufficient severity that the function of major organ systems in the body (such as heart, kidney, brain, and others) is impaired is referred to as “severe sepsis.” Patients with severe sepsis that have continued organ system impairment and/or low blood pressure that does not respond to treatment with adequate fluid replacement are considered to be in “septic shock.” The combination of early detection of sepsis coupled with timely, appropriate interventions can significantly improve the chances of survival for patients with all types of sepsis.
The datasets contain hospital-level treatment measures and hospital-level risk-adjusted mortality rates for adult patients, with a diagnosis of severe sepsis or septic shock seen at New York State Article 28 (acute care) facilities and reported to the New York State Department of Health in 2015 and 2016.
The treatment measures and risk adjusted mortality rates are presented by hospital. Only hospital level measure data for which there were at least ten cases in the denominator is reported. Statewide measures are calculated using all hospitals, regardless of the number of sepsis cases treated.
Tag adult sepsis efficiency hospital performance inpatient sepsis e altri 2
Documentazione API
Aggiornato
June 14 2019
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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.
Tag all payer dsrip efficiency inpatient inpatient quality indicator e altri 4
Documentazione API
Aggiornato
October 22 2024
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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).
Tag all payer dsrip efficiency inpatient pdi e altri 4
Documentazione API
Aggiornato
November 18 2024
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
The dataset contains Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for Medicaid beneficiaries by patient county 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.
Tag costs dsrip efficiency emergency medicaid e altri 6
Documentazione API
Aggiornato
December 16 2016
Visualizzazioni
0

Energy & Environment
Sequenza di dati
This dataset includes all Statewide Commercial Baseline Study summary statistics related to the estimation of population penetration and saturation estimates. These include summaries of the number of survey respondents asked each equation, the number of survey respondents who provided a valid answer, the unweighted penetration, weighted penetration, and adjusted and weighted penetration. All supporting summary statistics are also provided. Penetration refers to the proportion of businesses that have one or more of a particular piece of equipment. Saturation is a number representing how many of a particular piece of equipment are present, on average, among all businesses. The overall objective of the Statewide Commercial Baseline research was to understand the existing commercial building stock in New York State and associated energy use, including the penetration and saturation of energy consuming equipment (electric, natural gas, and other fuels). For more information, see the Final Report at https://www.nyserda.ny.gov/About/Publications/Building-Stock-and-Potential-Studies/Commercial-Statewide-Baseline-Study.
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 X, Facebook, YouTube, or Instagram.
Tag baseline study business characteristics cbsa commercial efficiency e altri 11
Documentazione API
Aggiornato
July 1 2024
Visualizzazioni
6.775

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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.
Tag all payer dsrip efficiency inpatient inpatient quality indicator e altri 4
Documentazione API
Aggiornato
February 16 2018
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.
All PSI 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) PSI measures.
The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.
Tag all payer dsrip efficiency inpatient patient safety indicator e altri 4
Documentazione API
Aggiornato
March 22 2018
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.
All PSI 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) PSI measures.
The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.
Tag all payer dsrip efficiency inpatient patient safety indicator e altri 4
Documentazione API
Aggiornato
October 23 2024
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.
All PSI 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) PSI measures.
The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.
Tag all payer dsrip efficiency inpatient patient safety indicator e altri 4
Documentazione API
Aggiornato
October 22 2024
Visualizzazioni
0

Health
Dati federati Dati Forniti da health.data.ny.gov
Sequenza di dati
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.
Tag all payer dsrip efficiency inpatient inpatient quality indicator e altri 4
Documentazione API
Aggiornato
November 16 2020
Visualizzazioni
0