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References

Sources

  1. 1.
    ​Infographic: How Big Data Will Unlock the Potential of Healthcare (visualcapitalist.com)​
  2. 2.
    ​George Health | The Global Health Challenge (george-health.com) - Pioneering affordable, innovative, and simpler life-saving treatments for people suffering from chronic diseases.
  3. 3.
    ​HealthVerity Census - HealthVerity - Enables de-identification of health data and re-linkage to an anonymous identifier for analysis.
  4. 4.
    ​Health Expenditures per Capita​
  5. 5.
    ​List of countries by total health expenditure per capita​
  6. 6.
    ​Healthcare Big Data and the Promise of Value-Based Care​
  7. 7.
    ​PDX and Personalized Medicine (crownbio.com)​
  8. 8.
    ​Healthcare Big Data and the Promise of Value-Based Care (nejm.org)​
  9. 9.
    ​Fifty Years of Progress in Chronic Disease Epidemiology and Control (cdc.gov)​
  10. 10.
    ​The Problem with Observational Studies (Epidemiology)​
  11. 11.
    ​Infographic: How Big Data Will Unlock the Potential of Healthcare​
  12. 12.
    ​George Health Global Health Challenge - Pioneering life-saving treatments for people suffering from chronic diseases.
  13. 13.
    ​HealthVerity Census - HealthVerity - De-identification of health data and re-linkage to an anonymous identifier for analysis.
  14. 14.
    ​Health Expenditures per Capita​
  15. 15.
    ​List of countries by total health expenditure per capita​
  16. 16.
    ​Healthcare Big Data and the Promise of Value-Based Care​
  17. 17.
    ​PDX and Personalized Medicine​
  18. 18.
    ​Healthcare Big Data and the Promise of Value-Based Care (nejm.org)​
  19. 19.
    ​Fifty Years of Progress in Chronic Disease Epidemiology and Control (cdc.gov)​
  20. 20.
    ​The Problem with Observational Studies (Epidemiology)​
  21. 21.
    ​Flat Icons​
  22. 22.
    ​Why Does the Federal Government Issue Damaging Dietary Guidelines?​
  23. 23.
    ​Big fat controversy: changing opinions about saturated fats​
  24. 24.
    ​Bytes to Bucks: The Valuation of Data - HealthCare Appraisers​
  25. 25.
    ​Berwick, Donald M.; Nolan, Thomas W.; and Whittington, John. “The Triple Aim: Care, Health, and Cost.”Health Affairs: Vol. 27, No. 3. May/June 2008. Retrieved May 1, 2019​
  26. 26.
    ​health data. (n.d.) McGraw-Hill Concise Dictionary of Modern Medicine. (2002). Retrieved May 1, 2019​
  27. 27.
    ​William H. Sorrell, Attorney General of Vermont, Et Al., Petitioners v. IMS Healthcare Inc. ET Al.​
  28. 28.
    ​https://compliancy-group.com/hipaa-fines-directory-year/​
  29. 29.
    45 CFR § 164.514 (b)(1)(i); As set forth in the HIPAA Privacy Rule
  30. 30.
    https://www.bloomberg.com/graphics/infographics/reidentifying-anonymous-medical-records.html
  31. 31.
    Na L, Yang C, Lo C, Zhao F, Fukuoka Y, Aswani A. Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning; [https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2719130
  32. 32.
    https://www.nytimes.com/2018/09/20/health/memorial-sloan-kettering-cancer-paige-ai.html
  33. 33.
    ​NC233 causal inference​
  34. 34.
    ​Inferring causal impact using Bayesian structural time-series models​
  35. 35.
    ​CausalImpact R Package​
  36. 36.
    ​A Comparison of Observational Studies and Randomized, Controlled Trials | NEJM​
  37. 37.
    ​FDA and Clinical Drug Trials: A Short History​

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