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Speyer communicating dataforimpact_2015

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IHME Chief Data and Technology Officer Peter Speyer presents on communicating health data to multiple audiences.

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Speyer communicating dataforimpact_2015

  1. 1. Communicating Data for Impact Population health data Peter Speyer Chief Data & Technology Officer speyer@uw.edu @peterspeyer
  2. 2. 2www.healthdata.org The questions • What are the biggest health problems in my country? • Which kids’ diseases cause high mortality rates in developing countries? • Which diseases affect older people in developed countries? What has changed over the last few decades? • Which diseases should we prioritize for vaccine research? • How much health burden does obesity cause?
  3. 3. 3www.healthdata.org The data • Life-year equivalents for mortality and disability • 301 diseases and injuries, 72 risk factors, disease-risk attribution • 188 countries by age and sex • 1990 to 2013 • Uncertainty Over 2 billion data points Global Burden of Disease metrics
  4. 4. 4www.healthdata.org The audiences • Global health community: UN, NGOs, advocacy organizations • Governments: ministries, aid organizations, health departments • Academic researchers • Private sector: pharma, devices, biotech • Healthcare providers • Investment community • Journalists • General public Minister of Health StaffAnalyst
  5. 5. 5www.healthdata.org
  6. 6. Communicating Data for Impact Population health data Peter Speyer Chief Data & Technology Officer speyer@uw.edu @peterspeyer
  7. 7. 7www.healthdata.org The fundamental task THE RIGHT DATA THE RIGHT AUDIENCES THE RIGHT FORMAT THE RIGHT TIME
  8. 8. 8www.healthdata.org The data • Life-year equivalents for mortality and disability • 301 diseases and injuries, 72 risk factors, disease-risk attribution • 188 countries by age and sex • 1990 to 2013 • Uncertainty Over 2 billion data points Global Burden of Disease metrics
  9. 9. 9www.healthdata.org There is more than just the results Censuses Surveys Health records Databases & literature And much more … Registries
  10. 10. 10www.healthdata.org Data & Model Flow
  11. 11. 11www.healthdata.org Different audiences Audience Attention span Data skills Domain expertise Impact Casual user Low Low Low Low Data actor Low Varied Varied High Data analyst Medium High High Medium Researcher High High High Medium
  12. 12. 12www.healthdata.org
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  21. 21. Peter Speyer Chief Data & Technology Officer speyer@uw.edu @peterspeyer www.healthdata.org www.communicatingdata.org www.peterspeyer.org
  22. 22. 22www.healthdata.org
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