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Maps and data esri health care 2012

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Presented at Esri Health GIS ConferenceS
cottsdale, AZ USA
|28 August 2012
Presentation slides at w w w . s l i d e s h a r e . N e t / j t j o h n s o n

Data Makes the Maps; Maps Make the Data by J. T Johnson is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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Maps and data esri health care 2012

  1. 1. Data Makes the Maps; Maps Make the Data; Esri Health Conference Scottsdale, Arizona USA August 28, 2012Tom JohnsonManaging DirectorInst. for Analytic JournalismSanta Fe, New Mexico USAt o m @ j t j o h n s o n . c o m@ j t j o h n s o n 1
  2. 2. Presented at Esri Health GIS Conference Scottsdale, AZ USA 28 August 2012 Presentation slides at www.slideshare.Net/jtjohnsonData Makes the Maps; Maps Make the Data by J. T Johnson is licensed under aCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License . 2
  3. 3. “ GIS: Unifying Theory/Methodology for Journalism and the Social Sciences?”J. T. Johnson GIS CenterProf. of JournalismSan Francisco State University Krouzian Roomtom@jtjohnson.com Bancroft LibraryInstitute for Analytic Journalism 17 April 2003 3
  4. 4. 1 Important pointAll disciplines usesame knowledge-making process 4
  5. 5. Fundamental process of alldisciplines Data In  Analysis  Info Out •Info Arch. • Tools •Available skill •Sources • Available sets •Form/file type skill sets •Deliver the •Validity • Counselor data •Quality • Cost: time •Audience(s) •Cost & money •Updating? This 3-phase process is relatively traditional. So what’s changed? 5
  6. 6. • In dynamic infosphere, no individual can do all this: A team required• New management focus must be on coordinating cooperation/collaboration • Articulating objectives • Tools? • Training? • Project management 6
  7. 7. 2 Important pointAll phenomena possessthe same four potentialdata sets/analyticvariables 7
  8. 8. 4 aspects of data in ALL phenomena “Flurry of Photo ID Laws Tied to #1 Conservative Washington Group” Qualitative• Interview transcript• Field notes (notes taken in the field being studied)• Video• Audio recordings• Images• Documents (reports, meeting The flurry of bills introduced the last two years followed the 2010 midterm minutes, e-mails) Republicans took control of state legislatures in Alabama, election when• Images of types of qualitative Minnesota, Montana, North Carolina and Wisconsin. The same shift data occurred in the 2004 election in Indiana and Georgia before those states became the first to pass strict voter ID laws. 8
  9. 9. Aspects of data in ALLphenomena 1.Start by counting stuff 2.Build taxonomy(ies) Qualitative 3.Do basic statistics 4.“Hunches” about what’s going on #2 Quantitative 9
  10. 10. Aspects of data in ALLphenomena Qualitative Quantitative “External” Geography/geostatistics #3 Geographic 10
  11. 11. “Internal and Interior ” Geography Incidents in hospitals Qualitative Quantitative #3 Geographic Internal or interior Geostatistics 11
  12. 12. Aspects of data in ALLphenomena #4 Timeline of Qualitative change • Need trans-disciplinary Integrate timeline and geography skills to determine Quantitative Geographic which aspect is most important? • How to analyze? • How to present results 12
  13. 13. Center for Health Market Innovations
  14. 14. Staying a step ahead of diseases• Texas Pandemic Flu Toolkit • Web-based service that simulates the spread of pandemic flu through state • Forecasts the number of flu hospitalizations • Determines where and when to place ventilators to minimize fatalities. • Used in emergency situations for real-time decision-making• “Contact-network epidemiology” video 14
  15. 15. New toolkit demonstrates use of data-drivenscience to plan for future pandemics 15
  16. 16. Complexity and Social Network AnalysisComputer experiments, along with real world data, generating newhypotheses and diagnostic and treatment applications.Source: http://www.youtube.com/watch?v=EvcgcffQxPc&feature=relmfu 16
  17. 17. Digital pill with chip inside gets FDAgreen light• "ingestible sensor" invention.• The 1 square millimeter device -- roughly the size of a grain of sand -- can relay information about your insides to you, and if you choose, to your doctor or nurse. 17
  18. 18. Google Glasses 18
  19. 19. Big Challenges: Data In• Multiple ways to generate, retrieve and analyze health data • Health status precursors • Who sees it/them? • Status Indicators? Numbers, dials, spark lines, fever charts, • Services needed? • Location for services/patient needs? • Follow-up and status? 19
  20. 20. At the end of the day….• Constant: Data In Analysis Info Out• Your profession probably won’t have direction or innovative answers about its future • Seek other -- or trans-disciplinary --methods and processes for insights• No more 8-hour work day. • 6 hrs “work,” 2 hrs. teach and learn 20
  21. 21. Data Makes the Maps; Maps Make the Data; Esri Health Conference Scottsdale, Arizona USA August 28, 2012Tom JohnsonManaging DirectorInst. for Analytic JournalismSanta Fe, New Mexico USAt o m @ j t j o h n s o n . c o m@ j t j o h n s o n 21

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