Design and implementation of a privacy preserving electronic health record linkage tool in Chicago

Journal of the American Medical Informatics Association

Volumn 22, Issue 5, 2015, Pages 1072-1080

  Kho, Abel N ^a   Cashy, John P ^a,b   Jackson, Kathryn L ^a   Pah, Adam R ^a   Goel, Satyender ^a   Boehnke, Jörn ^c   Humphries, John Eric ^c   Kominers, Scott Duke ^d   Hota, Bala N ^e   Sims, Shannon A ^e   Malin, Bradley A ^f   French, Dustin D ^a   Walunas, Theresa L ^a   Meltzer, David O ^b   Kaleba, Erin O ^g   Jones, Roderick C ^h   Galanter, William L ⁱ  

^a NORTHWESTERN UNIVERSITY   (United States)

^b DEPARTMENT OF VETERANS AFFAIRS   (United States)

^c UNIVERSITY OF CHICAGO   (United States)

^d HARVARD UNIVERSITY   (United States)

^e RUSH MEDICAL COLLEGE   (United States)

^f VANDERBILT UNIVERSITY   (United States)

^g Alliance of Chicago Community Health Services   (United States)

^h CHILDREN'S MEMORIAL HOSPITAL   (United States)

ⁱ UNIVERSITY OF ILLINOIS HOSPITAL AND HEALTH SCIENCES SYSTEM   (United States)

Author keywords

Health information exchange; Privacy protection; Record linkage

Indexed keywords

ARTICLE; CLINICAL RESEARCH; COMPUTER PROGRAM; COMPUTER SECURITY; ELECTRONIC MEDICAL RECORD; HEALTH CARE SYSTEM; HUMAN; MEDICAL INFORMATION; MEDICAL INFORMATION SYSTEM; UNITED STATES; CONFIDENTIALITY; HEALTH INSURANCE; MEDICAL RECORD; PROCEDURES; STANDARDS;

CHICAGO; COMPUTER SECURITY; CONFIDENTIALITY; ELECTRONIC HEALTH RECORDS; HEALTH INFORMATION EXCHANGE; HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT; HUMANS; MEDICAL RECORD LINKAGE; SOFTWARE; UNITED STATES;

EID: 84953342589     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocv038     Document Type: Article

References (44)

1. Kho AN, Lemmon L, Commiskey M, Wilson SJ, McDonald CJ. Use of a regional health information exchange to detect crossover of patients with MRSA between urban hospitals. JAMIA. 2008;15:212-216.
2. Finnell JT, Overhage JM, Dexter PR, et al. Community clinical data exchange for emergency medicine patients. Am Med Inform Assoc. 2003;235.
3. Gichoya J, Gamache RE, Vreeman DJ, et al. An evaluation of the rates of repeat notifiable disease reporting and patient crossover using a health information exchange-based automated electronic laboratory reporting system. Am Med Inform Assoc. 2012;1229.
4. Blumenthal D, Tavenner M. The "meaningful use" regulation for electronic health records. New Engl J Med. 2010;363:501-504.
5. DesRoches CM, Charles D, Furukawa MF, et al. Adoption of electronic health records grows rapidly, but fewer than half of US hospitals had at least a basic system in 2012. Health Aff. 2013;32:1478-1485.
6. Health Insurance Portability and Accountability Act of 1996. In: Rights OoC, ed, Office of Civil Rights. Rule number 42 U.S.C. Section Number 1320d-9. Enacted August 21, 1996. U.S. Congress. Washington, DC.
7. (2013) Omnibus Rule ("Final Rule"). In: Office of the Secretary Department of Health and Human Services, pp. 5565-5702. Document number 78 FR 5565. Washington, DC.
8. McDonald CJ, Overhage JM, Barnes M, et al. The Indiana network for patient care: a working local health information infrastructure. Health Aff. 2005;24:1214-1220.
9. Clayton P, Narus S, Huff S, et al. Building a comprehensive clinical information system from components. Methods Inf Med. 2003;42:1-7.
10. Arellano MG, Weber GI. Issues in identification and linkage of patient records across an integrated delivery system. J Healthc Inf Manag. 1998;12:43-52.
11. Weiner M, Stump TE, Callahan CM, Lewis JN, McDonald CJ. A practical method of linking data from Medicare claims and a comprehensive electronic medical records system. Int J Med Inform. 2003;71:57-69.
12. Grannis SJ, Overhage JM, Hui S, McDonald CJ. Analysis of a probabilistic record linkage technique without human review. Am Med Inform Assoc. 2003;259.
13. Adler-Milstein J, Bates DW, Jha AK. Operational health information exchanges show substantial growth, but long-term funding remains a concern. Health Aff. 2013;32:1486-1492.
14. Morris AD, Boyle DI, MacAlpine R, et al. The diabetes audit and research in Tayside Scotland (DARTS) study: electronic record linkage to create a diabetes register. BMJ. 1997;315:524-528.
15. Wettermark B, Hammar N, MichaelFored C, et al. The new Swedish Prescribed Drug Register-opportunities for pharmacoepidemiological research and experience from the first six months. Pharmacoepidemiology and drug safety 2007;16:726-735.
16. Hillestad RJ, Bigelow JH, Chaudhry B, et al. Identity crisis: an examination of the costs and benefits of a unique patient identifier for the US health care system: RAND, Santa Monica, California. 2008.
17. Durham E, Kantarcioglu M, Xue Y, et al. Composite bloom filters for secure record linkage. IEEE Trans Knowl Data Eng. 2014;26:2956-2968.
18. Schnell R, Bachteler T, Reiher J. Privacy-preserving record linkage using Bloom filters. BMC Med Inform Decis Mak. 2009;9:41.
19. Randall SM, Ferrante AM, Boyd JH, Bauer JK, Semmens JB. Privacypreserving record linkage on large real world datasets. J Biomed Inform. 2013.
20. Quantin C, Bouzelat H, Allaert FAA, et al. How to ensure data security of an epidemiological follow-up: quality assessment of an anonymous record linkage procedure. Int J Med Inform. 1998;49:117-122.
21. Churches T, Christen P. Some methods for blindfolded record linkage. BMC Med Inform Decis Mak. 2004;4:9.
22. Winkler WE. Overview of record linkage and current research directions. Citeseer. 2006.
23. Grannis SJ, Overhage JM, McDonald CJ. Analysis of identifier performance using a deterministic linkage algorithm. Am Med Inform Assoc. 2002;305.
24. Weber SC, Lowe H, Das A, Ferris T. A simple heuristic for blindfolded record linkage. J Am Med Inform Assoc. 2012;19:e157-e161.
25. Wolf W, Doyle M, Aufox S, et al. DNA banking study in an ethnically diverse urban university hospital. Am J Hum Genet. 2003;73:423.
26. Violan C, Foguet-Boreu Q, Hermosilla-Perez E, et al. Comparison of the information provided by electronic health records data and a population health survey to estimate prevalence of selected health conditions and multimorbidity. BMC Public Health. 2013;13:251.
27. Kho AN, Pacheco JA, Peissig PL, et al. Electronic medical records for genetic research: results of the eMERGE consortium. Sci Transl Med. 2011;3:79re71.
28. Pulley J, Clayton E, Bernard GR, Roden DM, Masys DR. Principles of human subjects protections applied in an opt-out, de-identified biobank. Clin Transl Sci. 2010;3:42-48.
29. Kaye K, Singer J, Newton-Dame R, Shih SC. Health information technology and the primary care information project. Am J Public Health 2014;104: e8-e9.
30. Murphy SN, Weber G, Mendis M, et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). JAMIA. 2010;17:124-130.
31. Natter MD, Quan J, Ortiz DM, et al. An i2b2-based, generalizable, open source, self-scaling chronic disease registry. JAMIA. 2013;20:172-179.
32. Weber GM, Murphy SN, McMurry AJ, et al. The Shared Health Research Information Network (SHRINE): a prototype federated query tool for clinical data repositories. JAMIA. 2009;16:624-630.
33. Holve E, Segal C, Lopez MH, Rein A, Johnson BH. The Electronic Data Methods (EDM) forum for comparative effectiveness research (CER). Med Care. 2012;50:S7-S10.
34. Behrman RE, Benner JS, Brown JS, et al. Developing the Sentinel System-a national resource for evidence development. New Engl J Med. 2011;364: 498-499.
35. Curtis LH, Weiner MG, Boudreau DM, et al. Design considerations, architecture, and use of the Mini-Sentinel distributed data system. Pharmacoepidemiol Drug Saf. 2012;21:23-31.
36. Ohno-Machado L, Bafna V, Boxwala AA, et al. iDASH: integrating data for analysis, anonymization, and sharing. JAMIA. 2012;19:196-201.
37. Kho AN, Doebbeling BN, Cashy JP, et al. A regional informatics platform for coordinated antibiotic-resistant infection tracking, alerting, and prevention. Clin Infect Dis. 2013;57:254-262.
38. Green LA, Fryer GE, Yawn BP, Lanier D, Dovey SM. The ecology of medical care revisited. N Eng J Med. 2001;344:2021-2025.
39. Wei W-Q, Leibson CL, Ransom JE, Kho AN, Chute CG. The absence of longitudinal data limits the accuracy of high-throughput clinical phenotyping for identifying type 2 diabetes mellitus subjects. Int J Med Inform. 2013;82:239-247.
40. Kho AN, Hynes DM, Goel S, et al. CAPriCORN: Chicago Area Patient-Centered Outcomes Research Network. JAMIA. 2014;21:607-611.
41. Collins FS, Hudson KL, Briggs JP, Lauer MS PCORnet: turning a dream into reality. JAMIA. 2014;21:576-577.
42. Kuzu M, Kantarcioglu M, Durham EA, Toth C, Malin B. A practical approach to achieve private medical record linkage in light of public resources. JAMIA. 2013;20:285-292.
43. VanWormer JJ. Methods of using electronic health records for populationlevel surveillance of coronary heart disease risk in the Heart of New Ulm project. Diabetes Spectr. 2010;23:161-165.
44. Tomasallo CD, Hanrahan LP, Tandias A, et al. Estimating Wisconsin Asthma Prevalence Using Clinical Electronic Health Records and Public Health Data. Am J Public Health 2014;104:e65-e73.