📖References

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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

Health Data Brokers

• Healthcare Analytics & Provider Data | Definitive Healthcare (definitivehc.com)

• Syntropy | Unlocking the value of untapped scientific data

• Current use and costs of electronic health records for clinical trial research: a descriptive study - PubMed (nih.gov)

Digital Health Companies

• Enlyt Health - Add-ons - Heroku Elements

ETL Companies

• Integrate.io data integration for e-commerce

DAOs

• A Model for Biotech Laboratory Infrastructure | by Maximilian Schulz | Jan, 2022 | Ageless Society

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