The column chart illustrates the distribution of inpatient average length of stay by service category for Medicaid, Commercial HMO, and Commercial PPO Payers. The chart uses statewide average rates of all insurance plans.
For more information please visit http://www.health.ny.gov/health_care/managed_care/reports/quality_performance_improvement.htm#link5. The "About" tab contains additional details concerning this dataset.

The column chart illustrates the distribution of inpatient discharges by service category for Medicaid, Commercial HMO, and Commercial PPO Payers. The chart uses statewide average rates of all insurance plans. For more information please visit http://www.health.ny.gov/health_care/managed_care/reports/quality_performance_improvement.htm#link5. The "About" tab contains additional details concerning this dataset.

The Managed Long-Term Care (MLTC) performance data is a semi-annual evaluation of New York state-certified MLTC plans. Rates are calculated for each performance measure by plan, and describe their population or assess their quality of care. Plans are evaluated on the quality of care they provide and on enrollees’ satisfaction.

The Managed Long-Term Care (MLTC) consumer guide data provides information about the quality of care offered by the different plans and people’s opinions about the care and the services the plans provide. This information will help consumers choose a managed long-term care plan that meets their health care needs. The Managed Long-Term Care Regional Consumer Guide dataset contains each plan’s current ratings, the regions of the state they serve, customer service telephone number, and website.

This column chart shows performance measurement rates for medication management for people with asthma by Health Home for the Centers for Medicare & Medicaid Services (CMS) Core Set and Health Home State Plan Amendment (SPA). To support ongoing assessment of the effectiveness of the Health Home model, the CMS has established a recommended Core Set of health care quality measures that it intends to promulgate in the rule making process.
Please refer to the Overview document for additional information.

The dataset contains administratively identified maternal sepsis observed event counts and rates related to live births during the pregnancy, delivery, and postpartum windows by patient county and demographics between 2016 and 2018.

Maternal sepsis is a leading cause of maternal mortality in the United States and is associated with increased rates of preterm labor, preterm delivery and fetal infection and maternal chronic pain and fertility problems.

Live births were identified from administrative coding of SPARCS acute care hospital claims between January 1, 2016 and December 31, 2018. Sepsis events were identified from SPARCS claims linked to these live birth events through a maternal identifier and occurring during pregnancy, delivery or within 42 days postpartum. Counts and rates are calculated within each of these thee windows separately, and also combined.

Sepsis events are quantified for ‘All Sepsis’ and ‘Severe Sepsis/Septic Shock’ (a subset of ‘All Sepsis’).

Counts and observed rates are presented by the patient county of residence reported on the live birth claim (including a statewide total) and select maternal demographics.

The dataset contains counts, rates, and measures of association between select risk factors and administratively identified maternal sepsis among live births during the pregnancy, delivery, and postpartum windows between 2016 and 2018.

Maternal sepsis is a leading cause of maternal mortality in the United States and is associated with increased rates of preterm labor, preterm delivery and fetal infection and maternal chronic pain and fertility problems.

Live births were identified from administrative coding of SPARCS acute care hospital claims between January 1, 2016 and December 31, 2018. Sepsis events were identified from SPARCS claims linked to these live birth events through a maternal identifier and occurring during pregnancy, delivery or within 42 days postpartum. Counts, rates, and measures of association are calculated within each of these thee windows separately.

Sepsis events are quantified for ‘Any Sepsis’ and ‘Severe Sepsis/Septic Shock’ (a subset of ‘Any Sepsis’).

Risk factors are captured using administrative coding from all SPARCS claims data available for each live birth during pregnancy or delivery, or from a linked birth certificate, when available.

Counts, rates, and measures of association are presented for each risk factor and maternal sepsis in the specified window for all eligible statewide live births between 2016 and 2018.

This data set contains statewide Medicaid beneficiary counts by valid NYS five-digit zip code. Also in this file are counts of beneficiaries who are dual eligible for Medicaid and Medicare, total inpatient admissions, and total emergency room visits.

This dataset contains information on selected chronic health conditions in the Medicaid population at the county level. The chronic health conditions were identified through 3M Clinical Risk Group software and Medicaid enrollment/eligibility, encounter, claim and pharmacy data over a 12-month period.

This data set contains information on selected chronic health conditions in the Medicaid population at the zip code level. The chronic health conditions were identified through 3M Clinical Risk Group software and Medicaid enrollment/eligibility, encounter, claim and pharmacy data over a 12-month period.

This dataset includes Medicaid clinical metrics for Clinical Improvement Projects (Domain 3) of the Delivery System Reform Incentive Payment (DSRIP) Program. The DSRIP program will promote community-level collaborations and focus on system reform, specifically a goal to achieve a 25 percent reduction in avoidable hospital use over five years. As a part of the DSRIP program, Performing Provider System will employ multiple projects both to transform health care delivery as well as to address the broad needs of the population that the performing provider system serves. These projects described in Attachment J are grouped into different strategies, such as behavioral health, within each Domain (System Transformation Projects (Domain 2), Clinical Improvement Projects (Domain 3), and Population-wide Projects (Domain 4). For each strategy, there is a set of metrics that the performing provider system will be responsible for if they do any one of the projects within that strategy. This dataset includes only Domain 3 Clinical Metrics.

This map shows the total incentive payments disbursed to Eligible Professionals (EPs) and Eligible Hospitals (EHs) by county beginning in 2011, through the NY Medicaid Electronic Health Records (EHR) Incentive Program, a CMS Promoting Interoperability Program. The darker shading represents the counties that have received the most payments.
Authorized by the American Recovery and Reinvestment Act (ARRA) of 2009, this program provides multi-year financial incentives to EPs and EHs who adopt, implement, or upgrade, and subsequently demonstrate meaningful use, of Certified Electronic Health Record Technology (CEHRT).
For more information please visit: https://www.health.ny.gov/ehr.

The dataset is representative of financial incentive payments disbursed to Eligible Professionals (EPs) and Eligible Hospitals (EHs) by the NY Medicaid Electronic Health Records (EHR) Incentive Program, a CMS Promoting Interoperability Program. Authorized by the American Recovery and Reinvestment Act (ARRA) of 2009, this program provides multi-year financial incentives to EPs and EHs who adopt, implement, or upgrade, and subsequently demonstrate meaningful use of Certified Electronic Health Record Technology (CEHRT).

This is a list of active Medicaid fee-for-service (FFS), Managed Care Only and Ordering, Prescribing, Referring, Attending (OPRA) providers. Data elements include the provider’s Medicaid Provider ID, NPI, provider or facility name, Medicaid type, profession or service, provider specialty, service address, city, state, zip code, county, telephone number, latitude, longitude, enrollment begin date, next anticipated revalidation date, date the file was extracted from the data warehouse and a Medically Fragile Children and Adults Directory Indicator.

Search Medicaid Enrolled Provider data with these interactive graphs and search cards.

The chart shows observed vs. expected Potentially Preventable Readmission rates by hospital for Medicaid enrollees in 2014.
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/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

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

The chart shows risk adjusted Potentially Preventable Readmission rates by hospital for Medicaid enrollees beginning in 2011.
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/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

The dataset contains the number of Medicaid Low Birth Weight newborns (numerator), the number of zip code Medicaid newborns (denominator), and observed rate for Agency for Healthcare Research and Quality Prevention Quality Indicator 9 (PQI 9) – Newborn Low Birth Weight Rate for Medicaid enrollees beginning in 2012.
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.
The observed rate for Low Birth Weight is presented by resident zip code (including a statewide
total). The observed rate for low birth weight by resident county: code (including a statewide total) can be found here: https://health.data.ny.gov/Health/Medicaid-Inpatient-Prevention-Quality-Indicators-P/aapx-etcg. For more information, check out: http://www.health.ny.gov/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

The dataset contains the number of Medicaid Low Birth Weight newborns (numerator), the number of county Medicaid newborns (denominator), and observed rate for Agency for Healthcare Research and Quality Prevention Quality Indicator 9 (PQI 9) – Newborn Low Birth Weight Rate for Medicaid enrollees beginning in 2012.
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.
The observed rate for Low Birth Weight is presented by resident county (including a statewide total). The observed rate for low birth weight by resident zip code (including a statewide total) can be found here: https://health.data.ny.gov/Health/Medicaid-Inpatient-Prevention-Quality-Indicators-P/vk5f-rgqm/. For more information, check out: http://www.health.ny.gov/health_care/medicaid/. 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. 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 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 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.

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.

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.