ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012
Auditing medical records accesses via healthcare interaction networks.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Inferring EHR Utilization Workflows through Audit Logs.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Measuring Collaboration Through Concurrent Electronic Health Record Usage: Network Analysis Study.JMIR medical informatics · 2021Article
- Identifying collaborative care teams through electronic medical record utilization patterns.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.Studies in health technology and informatics · 2017Article
- Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Building bridges across electronic health record systems through inferred phenotypic topics.Journal of biomedical informatics · 2015Article
- We work with them? Healthcare workers interpretation of organizational relations mined from electronic health records.International journal of medical informatics · 2014Article
- Biomedical data privacy: problems, perspectives, and recent advances.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Inferring Clinical Workflow Efficiency via Electronic Medical Record Utilization.AMIA ... Annual Symposium proceedings. AMIA SymposiumArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Healthcare organizations are deploying increasingly complex clinical information systems to support patient care. Traditional information security practices (e.g., role-based access control) are embedded in enterprise-level systems, but are insufficient to ensure patient privacy. This is due, in part, to the dynamic nature of healthcare, which makes it difficult to predict which care providers need access to what and when. In this paper, we show that modeling operations at a higher level of granularity (e.g., the departmental level) are stable in the context of a relational network, which may enable more effective auditing strategies. We study three months of access logs from a large academic medical center to illustrate that departmental interaction networks exhibit certain invariants, such as the number, strength, and reciprocity of relationships. We further show that the relations extracted from the network can be leveraged to assess the extent to which a patient's care satisfies expected organizational behavior.
Indexed as
Identifiers
23304277PMC3540438What OpenQuestion holds
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.