NYS Health Innovation Challenge Webinar

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Post on 29-Nov-2014



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Details on the NYS Innovation Challenge, data sets and submission requirements.


  • 1. NYS Health Innovation Challenge Informational Webinar April 24, 2014
  • 2. On the call DOH, SPARCS John Piddock DOH, QARR Joanne Guo DOH, Cardiac Reporting System Kim Cozzens DOH, Prevention Agenda - Trang Nguyen ITS, Health Data NY George Javitz Health 2.0 Graeme Ossey Health 2.0 Jen David
  • 3. Agenda Challenge Description Challenge Data Assets Health Data NY and APIs Challenge Details Evaluation Criteria Timeline Q & A
  • 4. The Challenge Create tech-driven solutions that enable consumers, employers, public health experts, communities and purchasers to explore quality, charges and costs data for medical procedures provided by NYS inpatient hospital facilities. Goals Increase usage and usability of open health data Reduce costs of health care through value based health care decisions Turn open data into actionable information that will empower consumers and others to make informed purchasing decisions
  • 5. Challenge Data Assets Statewide Planning and Research Cooperative System (SPARCS) Quality Assurance Reporting Requirements (QARR) Cardiac Reporting System Prevention Agenda 2013 2017 Tracking Indicators Hospital locations, services, and beds will be posted on Health Data NY soon. Additional data from Health Data NY, Open NY, and other open data sites.
  • 6. Statewide Planning and Research Cooperative System (SPARCS) John Piddock Bureau of Health Informatics Office of Quality and Patient Safety New York State Department of Health
  • 7. What Is SPARCS? Statewide Planning and Research Cooperative System (SPARCS) Cooperation between the health care industry and government In existence for over 35 years Established through statute in 1979 Enabling legislation and regulations for SPARCS are located under Section 2816 of the Public Health Law (PHL); and Section 400.18 of Title 10 (Health) of the Official Compilation of Codes, Rules, and Regulations of the State of New York (NYCRR) All payer calendar year-based discharge/visit dataset Claim-level detail on patient characteristics, diagnoses, treatments, services, and charges for hospital discharges, ambulatory surgery, emergency department, and hospital-based outpatient service visits (or EODC) in New York State
  • 8. Many Uses of SPARCS Data Financial, Rate Setting (e.g., APR-DRG SIW) Developing and Evaluating Policy Epidemiology Health Planning/Resource Allocation Quality of Care Assessment Research Surveillance Utilization Review Geo-coding Linkages with other data sets, registries, etc. AHRQ Healthcare Cost and Utilization Project (HCUP) Potentially Preventable Readmissions (PPR) Potentially Preventable Complications (PPC) Patient Safety Indicators (PSI) Inpatient Quality Indicators (IQI) Prevention Quality Indicators (PQI/PDI)
  • 9. SPARCS Data Collection Submissions are by Article 28 facilities or their vendors Inpatient Services Hospitals Outpatient Visits Emergency Departments Ambulatory Surgery Centers Free-Standing Diagnostic & Treatment Center (D&TC) Hospital-Based Hospital-Based Outpatient (Expanded Outpatient Data Collection)
  • 10. SPARCS File Types 1. Identifying/Deniable: Contains data elements thatif disclosed without any restrictions on use or re-disclosurewould constitute an unwarranted invasion of personal privacy External applicants for identifying data must be approved by a Data Protection Review Board (DPRB) 2. Limited: Contains some indirect patient identifiers, such as the month and year of date fields and some geographic identifiers of the patient 3. De-Identified: As a public use file, it contains basic record-level detail; all public health information (PHI) has been removed. This has been posted on Health Data NY (https://health.data.ny.gov) starting with calendar year 2009.
  • 11. SPARCS Data on Health Data NY (Tabular Format) Charges and/or Costs Included Yes No Discharge Level Yes Hospital Inpatient Discharges (SPARCS De-Identified): 2009, 2010, 2011, 2012 No (Aggregate) Hospital Inpatient Cost Transparency: Beginning 2009 Hospital Inpatient Discharges by Facility (SPARCS): Beginning 2009 Hospital Inpatient Discharges by Patient County of Residence (SPARCS): Beginning 2009
  • 12. SPARCS Charge and Cost Data on Health Data NY Hospital Inpatient Discharges (SPARCS De-Identified) These datasets (2009-2012) contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data contains basic record level detail regarding the discharge; however, the data does not contain protected health information (PHI) under HIPAA. Costs are available on 2009-2011. Hospital Inpatient Cost Transparency: Beginning 2009 The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), severity of illness level (SOI), medical or surgical classification, median charge, median cost, average charge and average cost per discharge.
  • 13. Prevention Quality Indicators (PQIs) - Adult The Agency for Healthcare Research and Quality (AHRQ) Prevention Quality Indicators (PQIs) are a set of population based measures that can be used with inpatient discharge data to identify conditions where: 1) the need for hospitalization was 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).
  • 14. Prevention Quality Indicators - Adult PQIs can be used as a starting point for evaluating the overall quality of primary and preventive care in a geographic area (i.e. Zip Code, County). PQIs are sometimes characterized as "avoidable hospitalizations," but this does not mean that the hospitalizations were unnecessary or inappropriate at the time they occurred. It means that if proper outpatient care had been given the hospitalization might not have occurred. PQIs can provide initial information about potential problems in a community that may require further, more in-depth analysis from SPARCS data. This analysis can assist in identifying areas where if good outpatient care is provided it could potentially prevent the need for hospitalization, or for which early intervention can prevent complications or more severe disease.
  • 15. Prevention Quality Indicators Adult PQI 01: Diabetes Short-Term Complications PQI 03: Diabetes Long-Term Complications PQI 14: Uncontrolled Diabetes PQI 16: Lower-extremity Amputation among Patients with Diabetes Composite S01: Diabetes PQI 07: Hypertension PQI 08: Heart Failure PQI 13: Angina Without Procedure Composite S02: Circulatory PQI 05: Chronic Obstructive Pulmonary Disease (COPD) or Asthma in Older Adults PQI 15: Asthma in Younger Adults Composite S03: Respiratory PQI 10: Dehydration PQI 11: Bacterial Pneumonia PQI 12: Urinary Tract Infection (UTI) Composite PQI 91: Acute Composite PQI 90: Overall Composite PQI 92: Chronic (S01, S02, & S03)
  • 16. PQIs on Health Data NY Data files of PQIs, at the Patient County and Zip Code level on Health Data NY. Data Elements include : Year, County or Zip, PQI Number and Name, Observed and Expected Rates per 100,000 people Observed (crude) and Expected (adjusted for age group, gender and race/ethnicity) rates are presented in two distinct datasets (one by Patient County, one by Patient Zip Code) to allow comparison with the statewide average, thereby identifying geographical variation. Metadata is also posted for the files. Lower PQI rates represent better results.
  • 17. Thank You! SPARCS Op