Understanding the challenges with medical data segmentation for privacy

2013 USENIX Workshop on Health Information Technologies, HealthTech 2013

Volumn , Issue , 2013, Pages

  Chan, Ellick M ^a   Lam, Peifung E ^a   Mitchell, John C ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC HEALTH RECORD (EHRS); MEDICAL CONCEPTS; MEDICAL CONDITIONS; MEDICAL KNOWLEDGE; MEDICAL RECORD; PATIENT PRIVACIES; SECOND ORDERS; SUBSTANCE ABUSE;

HEALTH;

EID: 85082399292     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (42)

1. H. Abrams. The Overutilization of X-rays. New England journal of medicine, 300(21):1213–1216, 1979.
2. A. P. Association. Diagnostic and Statistical Manual of Mental Disorders: DSM-IV-TR. American Psychiatric Publishing, Inc., 2000.
3. M. Atallah, E. Bertino, A. Elmagarmid, M. Ibrahim, and V. Verykios. Disclosure Limitation of Sensitive Rules. In Knowledge and Data Engineering Exchange, 1999.(KDEX’99) Proceedings. 1999 Workshop on, pages 45–52. IEEE, 1999.
4. A. Barth, A. Datta, J. C. Mitchell, and H. Nissenbaum. Privacy and Contextual Integrity: Framework and Applications. In IEEE Symposium on Security and Privacy, 2006.
5. Centers for Disease Control and Prevention. 2011 Sexually Transmitted Diseases Surveillance.
6. D. Dachman-Soled, T. Malkin, M. Raykova, and M. Yung. Efficient Robust Private Set Intersection. International Journal of Applied Cryptography, 2(4):289–303, 2012.
7. C. Dwork. Differential Privacy. In Automata, languages and programming, pages 1–12. Springer, 2006.
8. C. Dwork, G. N. Rothblum, and S. Vadhan. Boosting and Differential Privacy. In Proceedings of the 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, FOCS’10, pages 51–60, Washington, DC, USA, 2010. IEEE Computer Society.
9. C. Dwork and A. Smith. Differential Privacy for Statistics: What we know and what we want to learn. Journal of Privacy and Confidentiality, 1(2):2, 2010.
10. A. Elstein, L. Shulman, and S. Sprafka. Medical Problem-Solving. Academic Medicine, 56(1):75, 1981.
11. A. Elstein, L. Shulman, S. Sprafka, et al. Medical Problem Solving: An Analysis of Clinical Reasoning, volume 2. Harvard University Press Cambridge, MA, 1978.
12. R. Engle Jr and B. Davis. Medical Diagnosis: Present, Past, and Future. I. Present Concepts of the Meaning and Limitations of Medical Diagnosis. Archives of internal medicine, 112:512, 1963.
13. C. Friedman, L. Shagina, Y. Lussier, and G. Hripcsak. Automated Encoding of Clinical Documents based on Natural Language Processing. Journal of the American Medical Informatics Association, 11(5):392–402, 2004.
14. A. Gkoulalas-Divanis and V. Verykios. Association Rule Hiding for Data Mining. Advances in Database Systems. Springer US, 2010.
15. M. M. Goldstein and A. L. Rein. Data Segmentation in Electronic Health Information Exchange: Policy Considerations and Analysis. The George Washington University Medical Center, 2010.
16. J. Groopman. How Doctors Think. Houghton Mifflin, 2007.
17. J. Hampton, M. Harrison, J. Mitchell, J. Prichard, and C. Seymour. Relative Contributions of History-taking, Physical Examination, and Laboratory Investigation to Diagnosis and Management of Medical Outpatients. British Medical Journal, 2(5969):486, 1975.
18. K. Henriksen and H. Kaplan. Hindsight Bias, Outcome Knowledge and Adaptive Learning. Quality and Safety in Health Care, 12(suppl 2):ii46–ii50, 2003.
19. D. Hill and J. Dubey. Toxoplasma Gondii: Transmission, Diagnosis and Prevention. Clinical microbiology and infection, 8(10):634–640, 2002.
20. L. E. Joy Pritts, Angela Choy and J. Hustead. The State of Health Privacy. Institute for Health Care Research and Policy Georgetown University, 1999.
21. J. Kassirer, G. Gorry, et al. Clinical Problem Solving: A Behavioral Analysis. Annals of Internal Medicine, 89(2):245, 1978.
22. P. Lam, J. Mitchell, and S. Sundaram. A Formalization of HIPAA for a Medical Messaging System. Trust, Privacy and Security in Digital Business, pages 73–85, 2009.
23. S. Mangalmurti, L. Murtagh, and M. Mello. Medical Malpractice Liability in the Age of Electronic Health Records. New England Journal of Medicine, 363(21):2060–2067, 2010.
24. C. D. Manning, P. Raghavan, and H. Schütze. Introduction to Information Retrieval, volume 1. Cambridge University Press Cambridge, 2008.
25. Mary Mosquera. VA, SAMHSA test exchange of tagged substance abuse data. Government Health IT, 2012.
26. McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine. Online Mendelian Inheritance in Man, 2013.
27. J. Moehrke. Proposal for confidentiality Code vocabulary. Institute for Health Care Research and Policy Georgetown University, 2011.
28. Office for Civil Rights. Summary of the HIPAA privacy rule. US Department of Health and Human Services, 2003.
29. D. Peel. Your Medical Records Aren’t Secure. The Wall Street Journal-Opinion, 2009.
30. E. D. Pellegrino. Rationing Health Care: The Ethics of Medical Gatekeeping. J. Contemp. Health L. & Pol’y, 2:23, 1986.
31. Y. Peng and J. A. Reggia. Diagnostic problem-solving with causal chaining. International Journal of Intelligent Systems, 2(3):265–302, 1987.
32. J. Reggia, D. Nau, and P. Wang. Diagnostic Expert Systems Based on a Set Covering Model. International Journal of Man-Machine Studies, 19(5):437–460, 1983.
33. A. Rubin. Hypothesis Formation and Evaluation in Medical Diagnosis. Technical report, Artificial Intelligence Laboratory, Massachusetts Institute of Technology. AI-TR-316, 1975.
34. P. Ruch, J. Gobeill, C. Lovis, and A. Geissbuhler. Automatic Medical Encoding with SNOMED Categories. BMC Medical Informatics and Decision Making, 8(Suppl 1):S6, 2008.
35. S & I Framework. Data Segmentation for Privacy Charter and Members, 2011.
36. Y. Saygin, V. S. Verykios, and C. Clifton. Using Unknowns to Prevent Discovery of Association Rules. ACM SIGMOD Record, 30(4):45–54, 2001.
37. X. Sun and P. S. Yu. A Border-based Approach for Hiding Sensitive Frequent Itemsets. In Data Mining, Fifth IEEE International Conference on, pages 8–pp. IEEE, 2005.
38. K. M. Svore and C. J. Burges. A Machine Learning Approach for Improved BM25 Retrieval. In Proceedings of the 18th ACM conference on Information and knowledge management, pages 1811–1814. ACM, 2009.
39. U.S. Congress. HiTech Act. TITLE XIII - Health Information Technology. 2009.
40. U.S. Department of Health and Human Services. Benefits of Electronic Health Records (EHRs). 2012.
41. J. Walker, E. Pan, D. Johnston, J. Adler-Milstein, D. W. Bates, and B. Middleton. The Value Of Health Care Information Exchange and Interoperability. Health Aff, Jan. 2005.
42. Xapian. The BM25 Weighting Scheme.