2026-09-21T04:31:32Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/45545 2023-07-11 col_2142_10761 col_2142_5131 com_2142_10755 com_2142_234 com_2142_5130

Gunter, Carl A. Duffy, Eric 2013-08-22T16:47:17Z 2013-08-22T16:47:17Z 2015-08-22T10:00:25Z 2013-08 2013-08-22T16:47:17Z 2013-08 The past two decades in the United States have ushered in an era of increasing ubiquity of digitized healthcare as the speed and sophistication of technology follows an ever-growing trend. Electronic health records (EHRs) are an integral part of the growing healthcare industry which offers ease of access and new functionality while simultaneously causing worries over their privacy and security. In an effort to address these concerns, much legislation has been enacted in order to tighten the oversight and requirements for accessing protected health information (PHI). Most recently, the Department of Health and Human Services has released rulemaking which requires providers utilizing EHRs to comply with patients’ requests for logs of the accesses to their records. In this work, we outline our system for complying with this regulation while easing the burden of compli- ance for providers and simultaneously providing patients with informative and satisfying information about why their accounts were accessed. We implement a system called the Multiview Audit Interface (MAI) which utilizes recent research in the data mining and anomaly detection communities to provide a unified interface for conveniently using these algorithms for patients and administrators. We then test this system on a de- identified access log from Northwestern Memorial Hospital containing months of audit data. We construct a framework for implementing these algorithms as modules, thereby recycling existing code, encouraging multi-faceted comprehensions of their results, and offering an easy-to-use interface that administrators and patients can use alike. We demonstrate the the power of three modules currently implemented and show how the extensibility of the framework can be harvested to develop modules in the future. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-07-16T22:00:11Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Duffy_Eric.tar.gz: 4648960 bytes, checksum: dafe04c401921d664b717e1d90b8d736 (MD5) Duffy_Eric.pdf: 1013981 bytes, checksum: e2f6e46bdefcfac4ad58425c0b76f55f (MD5) Made available in DSpace on 2013-08-22T16:47:17Z (GMT). No. of bitstreams: 3 Eric_Duffy.pdf: 1013981 bytes, checksum: e2f6e46bdefcfac4ad58425c0b76f55f (MD5) Duffy_Eric.tar.gz: 4648960 bytes, checksum: dafe04c401921d664b717e1d90b8d736 (MD5) license.txt: 4060 bytes, checksum: 033aa9dca26ae9fa2d4fdeeeae31bd87 (MD5) Restriction data tranferred 2014-07-01T11:20:45-05:00 Original Data Group with Access UIUC Users [automated] Release Date: 2015-08-22 11:49:27 UTC Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Seth Robbins (srobbins@illinois.edu) on 2013-08-22T16:49:32Z Item is restricted until 2015-08-22T16:49:27Z U of I Only Restriction Lifted for Item 45527 on 2015-08-22T10:00:25Z. http://hdl.handle.net/2142/45545 en Copyright 2013 Eric Duffy Electronic Health Records Software Engineering Audit Logs Anomaly Detection Healthcare Security Facilitating patient and administrator analyses of electronic health record accesses text Computer Science 1434 Computer Science 0112 University of Illinois at Urbana-Champaign Thesis M.S. MS:Computer Science -UIUC 10KS0112MS