Recommendation-based de-identification: A practical systems approach towards de-identification of unstructured text in healthcare

Proceedings - 2012 IEEE 8th World Congress on Services, SERVICES 2012

Volumn , Issue , 2012, Pages 155-162

  Bhagwan, Varun ^a   Grandison, Tyrone ^b   Maltzahn, Carlos ^c  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b IBM RESEARCH   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

business process; privacy; risk and compliance

Indexed keywords

BUSINESS PROCESS; CURRENT MODE; DE-IDENTIFICATION; HUMAN AGENT; MEDICAL DATA; PRACTICAL SYSTEMS; SECONDARY USE; SOFTWARE ALGORITHMS;

DATA PRIVACY;

HEALTH CARE;

EID: 84867261096     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SERVICES.2012.57     Document Type: Conference Paper

References (37)

1. V. Bhagwan and C. Maltzahn, "JabberWocky: Crowd-sourcing metadata for files," IEEE International Conference on Services Computing (2009), pp. 513-516.
2. C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," DATA MINING AND KNOWLEDGE DISCOVERY, 2 (1998), pp. 121-168.
3. Canadian Government. Privacy Act. http://www.priv.gc.ca/legislation/02- 07-01-01-e.cfm.
4. D. Dorr, W. Phillips, S. Phansalkar, S. Sims, and J. Hurdle, "Assessing the difficulty and time cost of de-identification in clinical narratives," In Methods of Information in Medicine (2006), pp. 246-252.
5. M. Douglass, "Computer-assisted de-identification of free-text nursing notes," Master's thesis, Massachusetts Institute of Technology, 2005.
6. Electronic Privacy Information Center. The Video Privacy Protection Act (VPPA). http://epic.org/privacy/vppa/, 2002.
7. European Union. Data Protection Directive. http://ec.europa.eu/justice/ policies/ privacy/index-en.htm.
8. J. L. Fleiss, "Measuring nominal scale agreement among many raters," Psychological Bulletin (1971), pp. 378-382.
9. J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," In Proc. 18th International Conf. on Machine Learning (2001), pp. 282-289.
10. S. Meystre, F. F. FJ, B. South, S. Shen, M. and Samore, "Automatic de-identification of textual documents in the electronic health record: a review of recent research," In BMC Medical Research Methodology (2010).
11. National Institute of Standards and Technology. Guide to Protecting the Confidentiality of Personally Identifiable Information (PII). http://csrc.nist.gov/publications/ nistpubs/800-122/sp800-122.pdf.
12. I. Neamatullah, M. M. Douglass, L. wei H Lehman, A. Reisner, M. Villarroel, W. J. Long, P. Szolovits, G. B. Moody, R. G. Mark, and G. D. Clifford, "Automated de-identification of free-text medical records," In BMC Medical Informatics and Decision Making (2008).
13. Organisation for Economic Co-operation and Development. OECD Guidelines on the Protection of Privacy and Transborder Flows of Personal Data. http: //www.oecd.org/document/57/0,3746,en-2649-34255-1815186-1-1-1-1,00.html.
14. J. R. Quinlan, "Induction of decision trees," Machine Learning (1986), pp. 81-106.
15. J. Gardner, L. Xiong, K. Li, J. J. Lu, "HIDE: Heterogeneous Information DE-identification (demo track)," In 12th International Conference on Extending Database Technology (EDBT), March, 2009
16. K. El Emam, S. Jabbouri, S. Sams, Y. Drouet, M. Power, "Evaluating Common De-Identification Heuristics for Personal Health Information," J Med Internet Res 2006;8(4):e28
17. F. J. Friedlin, C. J. McDonald, "A Software Tool for Removing Patient Identifying Information from Clinical Documents," J Am Med Inform Assoc. 2008 Sep-Oct; 15(5): pp. 601-610
18. B. Wellner et al, "Rapidly Retargetable Approaches to De-identification in Medical Records," J Am Med Inform Assoc 2007;14:pp. 564-573
19. FP. Morrison, S. Sengupta, G. Hripcsak, "Using a pipeline to improve de-identification performance," AMIA Annu Symp Proc. 2009 Nov 14;2009: pp. 447-451
20. National Institute of Health, Research Repositories, Databases, and the HIPAA Privacy Rule. Available at: http://privacyruleandresearch.nih.gov/ research-repositories.asp
21. Amazon Mechanical Turk. https://www.mturk.com/mturk/welcome.
22. Hipaa training and compliance. http://www.hipaatraining.net/.
23. A. J. Quinn, and B. B. Bederson, "Human computation: Charting the growth of a burgeoning field," In CHI 2011 (Vancouver, Canada, May 7-12 2011).
24. M. A. Rothstein, "Is de-identification sufficient to protect health privacy in research?," The American Journal of Bioethics 10, 9 (Sept. 2010), 311.
25. P. Samarati, and L. Sweeney, "Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression," In Technical Report, SRI Intl (March 1998).
26. N. Seemakurty, J. Chu, L. von Ahn, and A. Tomasic, "Word sense disambiguation via human computation," In Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP '10, ACM (New York, NY, USA, 2010), pp. 60-63.
27. S. Sundaresan, "Survey of privacy protection for medical data," Master's thesis, California State University at Los Angeles, 2008.
28. A. Turing, "Computing machinery and intelligence," Mind 59 (1950), pp. 433-460.
29. U.S. Department of Health and Human Services. Standards for Privacy of Individually Identifiable Health Information; Final Rule. 45 CFR Parts 160 and 164.
30. U.S. Dept. of Health and Human Services, Health Information Privacy. The Health Information Technology for Economic and Clinical Health (HITECH) Act. 2009.
31. O. Uzuner, Y. Juo, and P. Szolovits, "Evaluating the state-of-the-art in automatic de-identification," In Journal of American Medical Informatics Assoc. (2007), pp. 550-563.
32. L. von Ahn, "Human computation," PhD thesis, Carnegie Mellon University, Pittsburgh, PA, USA, 2005. AAI3205378.
33. L. von Ahn, B. Maurer, C. McMillen, D. Abraham, and M. Blum, "reCAPTCHA: Human-based character recognition via web security measures," Science. 2008 Sep 12;321(5895): pp.1465-8
34. Wikipedia. Human-based computation. http://en.wikipedia.org/wiki/Human- based-computation.
35. Wikipedia. Personally identifiable information. http://en.wikipedia.org/ wiki/ Personally-identifiable-information.
36. Wikipedia. Anti-phishing act of 2005. http://en.wikipedia.org/wiki/Anti- Phishing-Act-of-2005, 2005.
37. J. R. Young, http://chronicle.com/article/To-Justify-Every-A-Some/128528/ , 2011.