ArticleJournal of biomedical informatics2011
Learning relational policies from electronic health record access logs.
Article in Journal of biomedical informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Primary Care Providers' Opening of Time-Sensitive Alerts Sent to Commercial Electronic Health Record InBaskets.Journal of general internal medicine · 2017Trial
- Method to apply temporal graph analysis on electronic patient record data to explore healthcare professional-patient interaction intensity: a cohort study.BMJ health & care informatics · 2024Article
- Improving accessibility of the Australian My Health Records while preserving privacy and security of the system.Health information science and systems · 2020Article
- Electronic Health Record Logs Indicate That Physicians Split Time Evenly Between Seeing Patients And Desktop Medicine.Health affairs (Project Hope) · 2017Article
- Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Using Visual Analytics to Determine the Utilization of Preoperative Anesthesia Assessments.Applied clinical informatics · 2015Article
- "Big data" and the electronic health record.Yearbook of medical informatics · 2014Review
- We work with them? Healthcare workers interpretation of organizational relations mined from electronic health records.International journal of medical informatics · 2014Article
- Detecting Inappropriate Access to Electronic Health Records Using Collaborative Filtering.Machine learning · 2014Article
- Explaining accesses to electronic medical records using diagnosis information.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- How are health professionals using health information exchange systems? Measuring usage for evaluation and system improvement.Journal of medical systems · 2012Article
- Detecting Anomalous Insiders in Collaborative Information Systems.IEEE transactions on dependable and secure computing · 2012Article
- Specializing network analysis to detect anomalous insider actions.Security informatics · 2012Article
- Auditing medical records accesses via healthcare interaction networks.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Leveraging Social Networks to Detect Anomalous Insider Actions in Collaborative Environments.ISI ... : ... IEEE Intelligence and Security Informatics. IEEE International Conference on Intelligence and Security Informatics · 2011Article
- Towards Understanding the Usage Pattern of Web-based Electronic Medical Record Systems.World of wireless mobile and multimedia networks. IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks · 2011Article
- Experience-Based Access Management: A Life-Cycle Framework for Identity and Access Management Systems.IEEE security & privacy · 2011Article
- Context-Aware Anomaly Detection for Electronic Medical Record Systems.HealthSec ... : ... USENIX workshop on health security and privacy. USENIX Workshop on Health Security and Privacy · 2011Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Modern healthcare organizations (HCOs) are composed of complex dynamic teams to ensure clinical operations are executed in a quick and competent manner. At the same time, the fluid nature of such environments hinders administrators' efforts to define access control policies that appropriately balance patient privacy and healthcare functions. Manual efforts to define these policies are labor-intensive and error-prone, often resulting in systems that endow certain care providers with overly broad access to patients' medical records while restricting other providers from legitimate and timely use. In this work, we propose an alternative method to generate these policies by automatically mining usage patterns from electronic health record (EHR) systems. EHR systems are increasingly being integrated into clinical environments and our approach is designed to be generalizable across HCOs, thus assisting in the design and evaluation of local access control policies. Our technique, which is grounded in data mining and social network analysis theory, extracts a statistical model of the organization from the access logs of its EHRs. In doing so, our approach enables the review of predefined policies, as well as the discovery of unknown behaviors. We evaluate our approach with 5 months of access logs from the Vanderbilt University Medical Center and confirm the existence of stable social structures and intuitive business operations. Additionally, we demonstrate that there is significant turnover in the interactions between users in the HCO and that policies learned at the department-level afford greater stability over time.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.