ArticleStudies in health technology and informatics2013
Developing a self-service query interface for re-using de-identified electronic health record data.
Article in Studies in health technology and informatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Classifying Clinical Trial Eligibility Criteria to Facilitate Phased Cohort Identification Using Clinical Data Repositories.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Modes of De-identification.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.Journal of biomedical informatics · 2016Review
- Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- Normalization of Phenotypic Data from a Clinical Data Warehouse: Case Study of Heterogeneous Blood Type Data with Surprising Results.Studies in health technology and informatics · 2015Article
- The National Institutes of Health's Biomedical Translational Research Information System (BTRIS): design, contents, functionality and experience to date.Journal of biomedical informatics · 2014Article
- Increase in body mass index from normal weight to overweight in a cross-sectional sample of healthy research volunteers.Nutrition research (New York, N.Y.) · 2014Article
- What Is Asked in Clinical Data Request Forms? A Multi-site Thematic Analysis of Forms Towards Better Data Access Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The US National Institutes of Health has developed a repository of clinical research data drawn in part from electronic health records. A new de-identified data query tool under development has been developed to support re-use of these data. We used a collection of 30 human-mediated user queries to determine whether features of the tool will be sufficient to allow users to carry out the queries themselves. The results show that the tool implemented in February 2013 will carry out a small percentage of user queries but the planned extensions will be sufficient for carrying out the majority of such queries. Future development of the tool will include extensions that correspond to the features found in human-mediated queries.
Indexed as
Identifiers
23920633PMC4209406What 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.