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Literature DB >> 22034582

Experience-Based Access Management: A Life-Cycle Framework for Identity and Access Management Systems.

Carl A Gunter¹, David Liebovitz, Bradley Malin.

Abstract

Experience-based access management incorporates models, techniques, and tools to reconcile differences between the ideal access model and the enforced access control.

Entities: Chemical Disease Gene Species

Year: 2011 PMID： 22034582 PMCID： PMC3199376 DOI： 10.1109/MSP.2011.72

Source DB: PubMed Journal: IEEE Secur Priv ISSN： 1540-7993 Impact factor: 3.573

3 in total

1. Learning relational policies from electronic health record access logs.

Authors: Bradley Malin; Steve Nyemba; John Paulett
Journal: J Biomed Inform Date: 2011-01-26 Impact factor: 6.317

2. Automated discovery of patient-specific clinician information needs using clinical information system log files.

Authors: Elizabeth S Chen; James J Cimino
Journal: AMIA Annu Symp Proc Date: 2003

3. Detection of Anomalous Insiders in Collaborative Environments via Relational Analysis of Access Logs.

Authors: You Chen; Bradley Malin
Journal: CODASPY Date: 2011

3 in total

8 in total

1. The role of privacy protection in healthcare information systems adoption.

Authors: Chien-Lung Hsu; Ming-Ren Lee; Chien-Hui Su
Journal: J Med Syst Date: 2013-09-08 Impact factor: 4.460

2. We work with them? Healthcare workers interpretation of organizational relations mined from electronic health records.

Authors: You Chen; Nancy Lorenzi; Steve Nyemba; Jonathan S Schildcrout; Bradley Malin
Journal: Int J Med Inform Date: 2014-04-28 Impact factor: 4.046

Experience-Based Access Management: A Life-Cycle Framework for Identity and Access Management Systems.

1. Learning relational policies from electronic health record access logs.

2. Automated discovery of patient-specific clinician information needs using clinical information system log files.

3. Detection of Anomalous Insiders in Collaborative Environments via Relational Analysis of Access Logs.

1. The role of privacy protection in healthcare information systems adoption.

2. We work with them? Healthcare workers interpretation of organizational relations mined from electronic health records.

3. Ensuring electronic medical record simulation through better training, modeling, and evaluation.

4. Context-Aware Anomaly Detection for Electronic Medical Record Systems.

5. Detecting Anomalous Insiders in Collaborative Information Systems.

6. Specializing network analysis to detect anomalous insider actions.

7. Explaining accesses to electronic medical records using diagnosis information.

8. Visualizing collaborative electronic health record usage for hospitalized patients with heart failure.