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📖 References

👈 Back to Table of Contents

Sources

  1. Infographic: How Big Data Will Unlock the Potential of Healthcare (visualcapitalist.com)
  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. HealthVerity Census - HealthVerity - Enables de-identification of health data and re-linkage to an anonymous identifier for analysis.
  4. Health Expenditures per Capita
  5. List of countries by total health expenditure per capita
  6. Healthcare Big Data and the Promise of Value-Based Care
  7. PDX and Personalized Medicine (crownbio.com)
  8. Healthcare Big Data and the Promise of Value-Based Care (nejm.org)
  9. Fifty Years of Progress in Chronic Disease Epidemiology and Control (cdc.gov)
  10. The Problem with Observational Studies (Epidemiology)
  11. Infographic: How Big Data Will Unlock the Potential of Healthcare
  12. George Health Global Health Challenge - Pioneering life-saving treatments for people suffering from chronic diseases.
  13. HealthVerity Census - HealthVerity - De-identification of health data and re-linkage to an anonymous identifier for analysis.
  14. Health Expenditures per Capita
  15. List of countries by total health expenditure per capita
  16. Healthcare Big Data and the Promise of Value-Based Care
  17. PDX and Personalized Medicine
  18. Healthcare Big Data and the Promise of Value-Based Care (nejm.org)
  19. Fifty Years of Progress in Chronic Disease Epidemiology and Control (cdc.gov)
  20. The Problem with Observational Studies (Epidemiology)
  21. Flat Icons
  22. Why Does the Federal Government Issue Damaging Dietary Guidelines?
  23. Big fat controversy: changing opinions about saturated fats
  24. Bytes to Bucks: The Valuation of Data - HealthCare Appraisers
  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. health data. (n.d.) McGraw-Hill Concise Dictionary of Modern Medicine. (2002). Retrieved May 1, 2019
  27. William H. Sorrell, Attorney General of Vermont, Et Al., Petitioners v. IMS Healthcare Inc. ET Al.
  28. https://compliancy-group.com/hipaa-fines-directory-year/
  29. 45 CFR § 164.514 (b)(1)(i); As set forth in the HIPAA Privacy Rule
  30. https://www.bloomberg.com/graphics/infographics/reidentifying-anonymous-medical-records.html
  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. https://www.nytimes.com/2018/09/20/health/memorial-sloan-kettering-cancer-paige-ai.html
  33. NC233 causal inference
  34. Inferring causal impact using Bayesian structural time-series models
  35. CausalImpact R Package
  36. A Comparison of Observational Studies and Randomized, Controlled Trials | NEJM
  37. FDA and Clinical Drug Trials: A Short History

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