This challenge is not limited to inpatient. We are looking for creative solutions. Please look at the examples in the Background section of the
challenge website for guidance.
NYSDOH Health Innovation Challenge Data Asset Catalog
New Data Assets Released for Innovation Challenge or Previously on Health Data
New Datasets added for the Innovation Challenge
Dataset Name
Description
Hospital Inpatient Discharges
(SPARCS De-Identified):
separate datasets for 2009,
2010, 2011, 2012
Hospital Inpatient Discharges
(SPARCS De-Identified):
separate datasets for 2009,
2010, 2011
Hospital Inpatient Prevention
Quality Indicators (PQI) for
Adult Discharges by County
(SPARCS): Beginning 2009
Hospital Inpatient Prevention
Quality Indicators (PQI) for
Adult Discharges by Zip Code
(SPARCS): Beginning 2009
Health Facility General
Information
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge
level detail on patient characteristics, diagnoses, treatments, services and costs. This dataset contains basic record level
detail regarding the discharge; however the data does not contain protected health information (PHI) under Health
Insurance Portability and Accountability Act (HIPAA). Please also refer to Featured APIs.
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified dataset contains discharge
level detail on patient characteristics, diagnoses, treatments, services and charges. This dataset contains basic record
level detail regarding the discharge; however the data does not contain protected health information (PHI) under Health
Insurance Portability and Accountability Act (HIPAA). Please also refer to Featured APIs.
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.
This dataset is at the zip code 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.
This dataset contains the operating certificate information, contact information, and locations for Article 28, Article 36
and Article 40 health care facilities and programs from the Health Facilities Information System (HFIS). Article 28 facilities
are hospitals, nursing homes, and diagnostic treatment centers. Article 36 facilities are certified home health care
agencies and long term home health care programs. Article 40 facilities are hospices. The dataset currently only contains
data on hospitals and hospital extension clinics. The data for the remaining facility types will be added in the future
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Health Facility Certification
Information
Hospital Inpatient Potentially
Preventable Readmission
Rates (PPR) by Hospital
(SPARCS): Beginning 2009
Medicaid Prevention Quality
Indicators (PDI) for Pediatric
Discharges by Patient County
: Beginning 2011
This dataset contains information on certifications for services and beds for Article 28, Article 36 and Article 40 health care facilities and
programs from the Health Facilities Information System (HFIS). Article 28 facilities are hospitals, nursing homes, and diagnostic
treatment centers. Article 36 facilities are certified home health care agencies and long term home health care programs. Article 40
facilities are hospices. The dataset currently only contains data on hospitals and hospital extension clinics.
The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for all
payer beneficiaries 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.
The dataset contain number of Medicaid PDI hospitalizations (numerator), and Medicaid population county
(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.
Medicaid Prevention Quality
Indicators (PDI) for Pediatric
Discharges by Patient Zip
Code: Beginning 2011
The dataset contain number of Medicaid PDI hospitalizations (numerator), and Medicaid population zip code
(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.
Medicaid Potentially
Preventable Emergency Visit
(PPV) Rates by Patient
County: Beginning 2011
Medicaid Potentially
Preventable Emergency Visit
(PPV) Rates by Patient Zip
Code: Beginning 2011
All Payer Potentially
Preventable Emergency Visit
(PPV) Rates by Patient
The dataset contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer
beneficiaries by patient county beginning in 2011.
The dataset contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer
beneficiaries by patient zip code beginning in 2011.
The dataset contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer
beneficiaries by patient county beginning in 2011. The rates were calculated using Statewide Planning and Research
Cooperative System (SPARCS) inpatient and outpatient data and Claritas population information.
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County (SPARCS): Beginning
2011
All Payer Potentially
Preventable Emergency Visit
(PPV) Rates by Patient Zip
Code (SPARCS): Beginning
2011
Prevention Agenda 20132017 Tracking Indicators:
County Baselines and Targets
- All Other Indicators)
Prevention Agenda 2013 –
2017 Tracking Indicators:
County Latest Data
The dataset contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer
beneficiaries by patient zip code beginning in 2011. The rates were calculated using Statewide Planning and Research
Cooperative System (SPARCS) inpatient and outpatient data and Claritas population information.
This is one of three datasets related to the Prevention Agenda Tracking Indicators county level data posted on this site.
Each dataset consists of county level data for 68 health tracking indicators and sub-indicators for the Prevention Agenda
2013-2017: New York State’s Health Improvement Plan. A health tracking indicator is a metric through which progress on
a certain area of health improvement can be assessed. The indicators are organized by the Priority Area of the
Prevention Agenda as well as the Focus Area under each Priority Area. Each dataset includes tracking indicators for the
five Priority Areas of the Prevention Agenda 2013-2017. The most recent year dataset includes the most recent county
level data for all indicators. The trend dataset includes the most recent county level data and historical data, where
available. Each dataset also includes the Prevention Agenda 2017 state targets for the indicators. Sub-indicators are
included in these datasets to measure health disparities among socioeconomic groups.
This is one of three datasets related to the Prevention Agenda Tracking Indicators county level data posted on this site.
Each dataset consists of county level data for 68 health tracking indicators and sub-indicators for the Prevention Agenda
2013-2017: New York State’s Health Improvement Plan. The latest data dataset includes the most recent county level
data for all indicators.
This is one of three datasets related to the Prevention Agenda Tracking Indicators county level data posted on this site.
Each dataset consists of county level data for 68 health tracking indicators and sub-indicators for the Prevention Agenda
2013-2017: New York State’s Health Improvement Plan. The trend dataset includes the most recent county level data
and historical data, where available.
Datasets Previously on Health Data NY
Dataset Name
Description
Influenza Vaccination Rates
This dataset contains the results of the annual report of influenza vaccination rates among healthcare personnel (HCP)
for Health Care Personnel:
with patient contact at healthcare facilities and agencies in New York State. New York Codes, Rules and Regulations, Title
Beginning 2012 -13
10, Section 2.59 (10 NYCRR Section 2.59). 10 NYCRR Section 2.59 requires any Article 28, 36, or 40 healthcare facility or
agency to document the number and percentage of personnel vaccinated against influenza for the current season and
report these data to the New York State Department of Health (the Department).
Prevention Agenda 2013 –
2017 Tracking Indicators:
County Trend Data
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Cardiac Surgery and
Percutaneous Coronary
Interventions by Hospital:
Beginning 2008
Cardiac Surgery by Surgeon:
Beginning 2008
Hospital Inpatient Cost
Transparency: Beginning
2009
Hospital-Acquired Infections:
Beginning 2008
Prevention Agenda 20132017 Tracking Indicators:
State Baselines and Targets
Quality Assurance Reporting
Requirements: Beginning
2008
This dataset contains the number of cases, number of in hospital/30 day deaths, observed, expected and risk- adjusted
mortality rates for cardiac surgery and percutaneous coronary interventions by hospital. Regions represent were the
hospitals are located. The initial Health Data NY dataset includes patients discharged between January 1, 2008, and
December 31, 2010. Analyses of risk-adjusted mortality rates and associated risk factors are provided for 2010 and for
the three-year period from 2008 through 2010. Analyses of all cases, non-emergency cases (which represent the majority
of procedures) and emergency cases are included. Subsequent year reports data will be appended to this dataset. Please
also refer to Featured APIs.
This dataset contains the number of cases, number of in hospital/30 day deaths, observed, expected and risk- adjusted
mortality rates for cardiac surgery by surgeon. Physician information is presented for each physician who a) performed
200 or more procedures during the three year analysis and/or b) performed at least one cardiac surgery in each of the
three years. The results for physicians not meeting the above criteria are grouped together and reported as “All others”
in the hospital in which the procedures are performed. Please also refer to Featured APIs.
This dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide
Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains
information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness
level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per
discharge.
All acute care hospitals are required to report certain hospital-acquired infections (HAIs) to the New York State
Department of Health (NYSDOH). This includes central line-associated blood stream infections in intensive care units;
surgical site infections following colon, hip replacement/revision, and coronary artery bypass graft; and Clostridium
difficult infections. PLEASE NOTE: Because of the complicated nature of the risk-adjustment methodology used to
produce the HAI rates, the advice of a statistician is recommended before attempting to manipulate the data. Hospitalspecific risk-adjusted rates cannot simply be combined. In addition, due to NYSDOH validation audits which may involve
data from both the current and previous calendar year, a revised data file will be published the year after the original
data file was released. Please also refer to Featured APIs.
The Prevention Agenda 2013 serves as the blueprint for state and local community action to improve the health of New
Yorkers and address health disparities. The New York State Public Health and Health Planning Council's Public Health
Committee established an Ad Hoc Committee to lead the development of New York's next five-year state health
improvement plan for the period 2013-2017. Please also refer to Featured APIs.
As a way of monitoring managed care plan performance and improving the quality of care provided to New York State
residents, the New York State Department of Health (NYSDOH) collects data for four types of managed care insurance
(commercial HMO, commercial Preferred Provider Organization, Medicaid managed care, and Child Health Plus) on an
annual basis.
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