NYS Health Innovation
Challenge
Informational Webinar
April 24, 2014
On the call
• DOH, SPARCS – John Piddock
• DOH, QARR – Joanne Guo
• DOH, Cardiac Reporting System – Kim Cozzens
• DOH, Pre...
Agenda
• Challenge Description
• Challenge Data Assets
• Health Data NY and API’s
• Challenge Details
• Evaluation Criteri...
The Challenge
• Create tech-driven solutions that enable consumers, employers,
public health experts, communities and purc...
Challenge Data Assets
• Statewide Planning and Research Cooperative System (SPARCS)
• Quality Assurance Reporting Requirem...
Statewide Planning and Research
Cooperative System
(SPARCS)
John Piddock
Bureau of Health Informatics
Office of Quality an...
What Is SPARCS?
• Statewide Planning and Research Cooperative System (SPARCS)
• Cooperation between the health care indust...
Many Uses of SPARCS Data
• Financial, Rate Setting (e.g., APR-DRG SIW)
• Developing and Evaluating Policy
• Epidemiology
•...
SPARCS Data Collection
• Submissions are by Article 28 facilities or their vendors
• Inpatient Services
• Hospitals
• Outp...
SPARCS File Types
1. Identifying/Deniable: Contains data elements that—if disclosed without any
restrictions on use or re-...
SPARCS Data on Health Data NY
(Tabular Format)
Charges and/or Costs Included
Yes No
Discharge
Level
Yes
Hospital Inpatient...
SPARCS Charge and Cost Data
on Health Data NY
• Hospital Inpatient Discharges (SPARCS De-Identified)
• These datasets (200...
Prevention Quality Indicators (PQIs) - Adult
• The Agency for Healthcare Research and Quality (AHRQ) Prevention
Quality In...
Prevention Quality Indicators - Adult
• PQIs can be used as a starting point for evaluating the overall quality of
primary...
Prevention Quality Indicators – Adult
• PQI 01: Diabetes Short-Term Complications
• PQI 03: Diabetes Long-Term Complicatio...
PQIs on Health Data NY
• Data files of PQIs, at the Patient County and Zip Code level on Health Data NY.
• Data Elements i...
Thank You!
SPARCS Operations
Bureau of Health Informatics
Office of Quality and Patient Safety
NYS Department of Health
Co...
Quality Assurance Reporting
Requirements (QARR)
Joanne Guo
Office of Quality and Patient Safety
Bureau of Health Services ...
Background-What is QARR
 Standardized national measurement set for the ambulatory health care delivery
system
 Measures ...
What is included in the dataset?
Domain Example Measures
Provider Network Board Certification, Satisfaction with Doctors a...
How are the data used?
 Annual Publications – Statewide Executive Summary of Managed
Care, Health Plan Comparison, Region...
The Challenge
• Allow comparability across all organizations (e.g. health plans, or
health insurance products)
• Provide t...
Limitations
• Only validated information is included in the data
• Not all measures are collected every year, some measure...
Questions
Quality Measurement and Evaluation Unit
Bureau of Health Services Evaluation
Office of Quality and Patient Safet...
Cardiac Reporting
System
Kimberly S. Cozzens
Cardiac Services Program
Office of Quality and Patient Safety
New York State ...
Background - NYSDOH Cardiac Data Systems
• Clinical data registries for all Cardiac Surgery and PCI (coronary
angioplasty)...
Cardiac Surgery and PCI by Hospital
Hospital-level outcome data for patients undergoing cardiac surgery or PCI.
Primary ou...
Additional Data Sets
Cardiac Surgery by Surgeon
and
PCI by Cardiologist
Contain similar information at the physician level...
How Are the Data Used?
• Providers - monitor their performance relative to others and identify
opportunities for improveme...
The Challenge
• Can these data be presented in a way that is more accessible to patients making
decisions about their care...
Limitations
• Provider results should be compared to the NYS result. It is important
to look at the “Comparison Result” da...
Thank You!
Cardiac Services Program
Office of Quality and Patient Safety
NYS Department of Health
1 University Place, Suit...
Prevention Agenda 2013 -2017 Tracking
Indicators
State and County Trend Data
State and County Most Recent Data
Public Heal...
Background
The New York State Prevention Agenda 2013-2017 serves as the
blueprint for state and local community action to ...
What is included in the datasets? Prevention Agenda Tracking Indicators – State Trend and Most Recent Year Data
Field
Numb...
What is included in the datasets? Prevention Agenda Tracking Indicators – County Trend and Most Recent Year Data
Field Num...
How are the data used?
• These datasets provide interested parties, including state and local health partners and
the gene...
Limitations
This dataset consists of various types of indicators with different units
of measurement such as rates per 10,...
Thank You!
Office of Public Health Practice
prevention@health.state.ny.us
(518) 473-4223
Department of Health
Corning Towe...
Using APIs with
HealthDataNY
and
OpenNY
What is an API
• An application programming interface (API) specifies how
some software components should interact with ea...
Socrata’s Open Data APIs
* From Socrata.com/open-data-portal
Socrata’s Open Data APIs
* From Socrata.com/open-data-portal
Socrata’s Developer Resources
* From dev.socrata.com
Socrata Open Data API
* From dev.socrata.com
Socrata Open Data API
* From dev.socrata.com
Featured NYS APIs
HealthDataNY Featured APIs
HealthDataNY Featured APIs
HealthDataNY Featured APIs
HealthDataNY Featured APIs
First, get dataset identifier
Example Code
Then use identifier in request URL
Use .csv to return CSV file
Example Code
Example Code
Thank You!
HealthDataNY Team
healthdatany@health.ny.gov
Challenge Details
• Pre-registration Form
• Official Submission Requirements
• A text description (500 to 1500 words)
• Po...
Evaluation Criteria
• Entries will be judged on the following:
• Decision Making (20%)
• Creativity (30%)
• Feasibility of...
Timeline
• Submission phase ends: July 24, 2014
• Judging period: August 2014
• Winners announced: September 2014
Thank You!
Q & A
Contact Us
graeme@health2con.com
jenniferd@health2con.com
Visit http://bit.ly/NYSInnov for
more informati...
NYS Health Innovation Challenge Webinar
NYS Health Innovation Challenge Webinar
NYS Health Innovation Challenge Webinar
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NYS Health Innovation Challenge Webinar

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

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NYS Health Innovation Challenge Webinar

  1. 1. NYS Health Innovation Challenge Informational Webinar April 24, 2014
  2. 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. 3. Agenda • Challenge Description • Challenge Data Assets • Health Data NY and API’s • Challenge Details • Evaluation Criteria • Timeline • Q & A
  4. 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. 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. 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. 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. 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. 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. 10. SPARCS File Types 1. Identifying/Deniable: Contains data elements that—if disclosed without any restrictions on use or re-disclosure—would 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. 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. 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. 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. 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. 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. 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. 17. Thank You! SPARCS Operations Bureau of Health Informatics Office of Quality and Patient Safety NYS Department of Health Corning Tower, Rm. 878 Albany, NY 12237 Phone: (518) 474-3189 E-mail: sparcs@health.state.ny.us
  18. 18. Quality Assurance Reporting Requirements (QARR) Joanne Guo Office of Quality and Patient Safety Bureau of Health Services Evaluation
  19. 19. Background-What is QARR  Standardized national measurement set for the ambulatory health care delivery system  Measures are developed to reflect the quality of care being given in a certain population, condition, or event  Generally based on recommendations from national organizations or experts in designated areas  Required for Commercial HMO, Commercial PPO, Child Health Plus and Medicaid
  20. 20. What is included in the dataset? Domain Example Measures Provider Network Board Certification, Satisfaction with Doctors and Specialists Child & Adolescent Health Childhood Immunization, Lead Testing, Well Care Visits Dental Visits, Care for Colds and Sore Throats, Medication for Asthma, Preventive Care and Counseling for Risk Behaviors Women’s Health Mammography, Cervical Cancer Screening, Chlamydia Testing, Prenatal and Postpartum Care Adult Health Preventive Care, Tobacco Cessation, Flu Shots, Management of Asthma, COPD, Diabetes, Cardiovascular disease and Medications Behavioral Health Antidepressant Medication Management and Follow Up Care After Hospitalization for Mental Illness Satisfaction with Care Getting Care Needed, Getting Care Quickly, Customer Satisfaction, Care Coordination and Rating of Health Plan
  21. 21. How are the data used?  Annual Publications – Statewide Executive Summary of Managed Care, Health Plan Comparison, Regional Consumer Guides, Health Plan Service Use, Health Care Disparities  Financial Rewards – Quality Incentive for Medicaid plans based on performance in quality, satisfaction and preventable hospitalization rates  Quality Improvement Activities – performance matrix and action plans, plan-specific reports, improvement projects and focus studies
  22. 22. The Challenge • Allow comparability across all organizations (e.g. health plans, or health insurance products) • Provide the public with information about how effective and satisfying the care and service delivered is across organizations • Encourage accountability and quality improvement in health care
  23. 23. Limitations • Only validated information is included in the data • Not all measures are collected every year, some measures are rotated to control collection burden • Measures change and health plan mergers limit the ability to trend over time • Some measures are reported as inverted rates and caution should be used when analyzing these measures • Plans with fewer than 30 eligible members are excluded from the statistical calculations
  24. 24. Questions Quality Measurement and Evaluation Unit Bureau of Health Services Evaluation Office of Quality and Patient Safety NYS Department of Health Corning Tower, Rm. 878 Albany, NY 12237 Phone: (518) 486-9012 E-mail: nysqarr@health.state.ny.us
  25. 25. Cardiac Reporting System Kimberly S. Cozzens Cardiac Services Program Office of Quality and Patient Safety New York State Department of Health
  26. 26. Background - NYSDOH Cardiac Data Systems • Clinical data registries for all Cardiac Surgery and PCI (coronary angioplasty) performed in NYS. • Carefully audited for completeness and accuracy. • Robust statistical analysis to create risk-adjusted mortality rates. • NYS is a leader in public reporting of cardiac outcomes. More than 20 year history of public reports.
  27. 27. Cardiac Surgery and PCI by Hospital Hospital-level outcome data for patients undergoing cardiac surgery or PCI. Primary outcome: Risk-adjusted in-hospital /30-day mortality rate (RAMR) The dataset also contains: • Number of cases performed at each hospital • Number of deaths • Observed and expected mortality rates • Hospital region • Indicator for RAMR significantly above or below the NYS rate
  28. 28. Additional Data Sets Cardiac Surgery by Surgeon and PCI by Cardiologist Contain similar information at the physician level. Data currently available from 2008 - 2010. Data through 2011 expected in May.
  29. 29. How Are the Data Used? • Providers - monitor their performance relative to others and identify opportunities for improvement. • Referring physicians - inform decisions about where to refer patients. • Consumers - inform selection of a hospital or physician. • Department of Health – assess quality of care and satisfactory outcomes across NYS.
  30. 30. The Challenge • Can these data be presented in a way that is more accessible to patients making decisions about their care? Can they be used to better help patients in selecting a hospital or physician for these procedures? • Can these data be used to help inform health system planning with respect to finding the right balance between regional procedural volume and need? • Is there a relationship between cost and quality? If so, how can this information be used to maintain or improve quality of care while increasing efficiency of resource utilization? • Is there a relationship between regional use-rates of these invasive procedures for advanced cardiac disease and prevention quality indicators?
  31. 31. Limitations • Provider results should be compared to the NYS result. It is important to look at the “Comparison Result” data when assessing outcomes. These data indicate which results are statistically different from the statewide results. • Some providers may have made important changes in the time period since the data were collected. Historical results may not reflect current performance.
  32. 32. Thank You! Cardiac Services Program Office of Quality and Patient Safety NYS Department of Health 1 University Place, Suite 218 Rensselaer, NY 12144 Phone: (518) 402-1016 E-mail: cardiacdata@health.state.ny.us
  33. 33. Prevention Agenda 2013 -2017 Tracking Indicators State and County Trend Data State and County Most Recent Data Public Health Information Group - Practice
  34. 34. Background The New York State Prevention Agenda 2013-2017 serves as the blueprint for state and local community action to improve the health of New Yorkers and address health disparities. One overall and five priority specific areas are included. The Prevention Agenda establishes goals for each priority area and defines indicators to measure progress toward achieving these goals, including reductions in health disparities among racial, ethnic, and socioeconomic groups and persons with disabilities. These datasets consist of the 2017 targets and trend data for state and county level tracking indicators included in the Improve Health Status and Reduce Health Disparities and five specific priority areas: Prevent Chronic Diseases, Healthy and Safe Environment, Healthy Women, Infants and Children, Prevent Mental Health and Substance Abuse and Prevent HIV, STDs, Vaccine Preventable Diseases and Healthcare Associated Infections.
  35. 35. What is included in the datasets? Prevention Agenda Tracking Indicators – State Trend and Most Recent Year Data Field Number Field Name Field Size Format note Description 1 Priority Area Number 1 Integer Prevention Agenda priority area ID number 2 Priority Area 120 Text Full title for the specific Prevention Agenda priority area 3 Focus Area Number 1 Integer Prevention Agenda focus area ID number (focus area within priority area) 4 Focus Area 120 Text Full title for the specific focus area 5 Indicator Number 6 Text Unique indicator identifier 6 Indicator 200 Text Full text description of the health tracking indicator 7 Disparity 3 Text Indicate disparity indicator or not 8 Event Count/Rate 12 Integers with commas or numeric with decimal Event counts for rate computations (numerators) or the high-risk group rate for ratio computations 9 Average Number of Denominator/Rate 12 Integers with commas or numeric with decimal Denominator for rate computations or the reference group rate for ratio computations 10 Measure Unit 12 Text Result type, rate or percentage 11 Percentage/Rate/Ratio 12 Numeric with decimal Numerical indicator value estimate 12 Lower Limit of 95% CI 8 Text Lower limit of 95% Confidence Intervals for percentage estimates from survey data 13 Upper Limit of 95% CI 8 Text Upper limit of 95% Confidence Intervals for percentage estimates from survey data 14 2017 Objective 12 Numeric with decimal Target value for the health tracking indicator, as specified by the Prevention Agenda 15 Objective Region 12 Text Region of NYS that the objective pertains to 16 Data Years 100 Text Time period for raw data used in indicator computation 17 Date Source 300 Text Data sources for the raw data used in indicator computation
  36. 36. What is included in the datasets? Prevention Agenda Tracking Indicators – County Trend and Most Recent Year Data Field Number Field Name Field Size Format note Description 1 County Name 35 Text Full county name 2 Priority Area Number 1 Integer Prevention Agenda priority area ID number 3 Priority Area 120 Text Full title for the specific Prevention Agenda priority area 4 Focus Area Number 1 Integer Prevention Agenda focus area ID number (focus area within priority area) 5 Focus Area 120 Text Full title for the specific focus area 6 Indicator Number 6 Text Unique indicator identifier 7 Indicator 200 Text Full text description of the health tracking indicator 8 Disparity 3 Text Indicate disparity indicator or not 9 Event Count/Rate 12 Integers with commas or numeric with decimal Event counts for rate computations (numerators) or the high-risk group rate for ratio computations 10 Average Number of Denominator/Rate 12 Integers with commas or numeric with decimal Denominator for rate computations or the reference group rate for ratio computations 11 Measure Unit 12 Text Result type, rate or percentage 12 Percentage/Rate/Ratio 12 Numeric with decimal Numerical indicator value estimate 13 Lower Limit of 95% CI 8 Text Lower limit of 95% Confidence Intervals for percentage estimates from survey data 14 Upper Limit of 95% CI 8 Text Upper limit of 95% Confidence Intervals for percentage estimates from survey data 15 Data Comments 20 Text Indicate when the county data is unstable or suppressed due to small number of events 16 Quartile 20 Text Quartile(s) that indicator estimate falls within 17 2017 Objective 12 Numeric with decimal Target value for the health tracking indicator, as specified by the Prevention Agenda 18 Objective Region 12 Text Region of NYS that the objective pertains to 19 Data Years 100 Text Time period for raw data used in indicator computation 20 Data Sources 300 Text Data sources for the raw data used in indicator computation 21 Mapping Distribution 1 Integer Grouping of county rates for color shades in the map (value of "1" indicates the best group and "3" indicates the worst group) 22 Location 30 Lat/Long coordinates separated by a comma, within parentheses Lat/Long decimal degree coordinates for the region covered by the indicator, for use in mapping
  37. 37. How are the data used? • These datasets provide interested parties, including state and local health partners and the general public information about the most recent data points and trend data for the 2013-2017 Prevention Agenda tracking indicators and the objectives/targets that state and communities are working toward. • Interested parties can utilize the local data to assess and identify local priorities, to set reasonable local level targets, and to monitor progress to collectively contribute toward the state’s overall progress in the five Prevention Agenda Priority Areas. • Data can be used in conjunction with other data sources for research, grant applications, community engagement, educational materials, identifying and communicating local priorities for interventions.
  38. 38. Limitations This dataset consists of various types of indicators with different units of measurement such as rates per 10,000 population, percentages, and ratios. Therefore, comparison of data across indicators might not be valid.
  39. 39. Thank You! Office of Public Health Practice prevention@health.state.ny.us (518) 473-4223 Department of Health Corning Tower – ESP Albany, NY 12237
  40. 40. Using APIs with HealthDataNY and OpenNY
  41. 41. What is an API • An application programming interface (API) specifies how some software components should interact with each other. • In addition to accessing databases or computer hardware, such as hard disk drives or video cards, an API can be used to ease the work of programming graphical user interface components * Wikipedia
  42. 42. Socrata’s Open Data APIs * From Socrata.com/open-data-portal
  43. 43. Socrata’s Open Data APIs * From Socrata.com/open-data-portal
  44. 44. Socrata’s Developer Resources * From dev.socrata.com
  45. 45. Socrata Open Data API * From dev.socrata.com
  46. 46. Socrata Open Data API * From dev.socrata.com
  47. 47. Featured NYS APIs
  48. 48. HealthDataNY Featured APIs
  49. 49. HealthDataNY Featured APIs
  50. 50. HealthDataNY Featured APIs
  51. 51. HealthDataNY Featured APIs
  52. 52. First, get dataset identifier Example Code
  53. 53. Then use identifier in request URL Use .csv to return CSV file Example Code
  54. 54. Example Code
  55. 55. Thank You! HealthDataNY Team healthdatany@health.ny.gov
  56. 56. Challenge Details • Pre-registration Form • Official Submission Requirements • A text description (500 to 1500 words) • Power Point (5 to 10 slides) • Link to working Solution • Awards • $15,000 First Prize • $3,500 Second Prize • $1,500 Third Prize
  57. 57. Evaluation Criteria • Entries will be judged on the following: • Decision Making (20%) • Creativity (30%) • Feasibility of Implementation (20%) • Target Audience (15%) • Utilization of Open Data (15%)
  58. 58. Timeline • Submission phase ends: July 24, 2014 • Judging period: August 2014 • Winners announced: September 2014
  59. 59. Thank You! Q & A Contact Us graeme@health2con.com jenniferd@health2con.com Visit http://bit.ly/NYSInnov for more information

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