ArticleJournal of the American Medical Informatics Association : JAMIA2015
A nursing information model process for interoperability.
Article in Journal of the American Medical Informatics Association : JAMIA, 2015. 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.
- Semi-automated pipeline to accelerate multi-site flowsheet alignment and concept mapping in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records.Studies in health technology and informatics · 2022Article
- A refined methodology for validation of information models derived from flowsheet data and applied to a genitourinary case.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Nursing Summary: designing a nursing section in the Electronic Health Record.Acta bio-medica : Atenei Parmensis · 2019Review
- Validation and Refinement of a Pain Information Model from EHR Flowsheet Data.Applied clinical informatics · 2018Observational
- Modeling Flowsheet Data to Support Secondary Use.Computers, informatics, nursing : CIN · 2017Observational
- Health information technology data standards get down to business: maturation within domains and the emergence of interoperability.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- AMIA--Setting the Standard.Journal of the American Medical Informatics Association : JAMIA · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability to share nursing data across organizations and electronic health records is a key component of improving care coordination and quality outcomes. Currently, substantial organizational and technical barriers limit the ability to share and compare essential patient data that inform nursing care. Nursing leaders at Kaiser Permanente and the U.S. Department of Veterans Affairs collaborated on the development of an evidence-based information model driven by nursing practice to enable data capture, re-use, and sharing between organizations and disparate electronic health records. This article describes a framework with repeatable steps and processes to enable the semantic interoperability of relevant and contextual nursing data. Hospital-acquired pressure ulcer prevention was selected as the prototype nurse-sensitive quality measure to develop and test the model. In a Health 2.0 Developer Challenge program from the Office of the National Coordinator for Health, mobile applications implemented the model to help nurses assess the risk of hospital-acquired pressure ulcers and reduce their severity. The common information model can be applied to other nurse-sensitive measures to enable data standardization supporting patient transitions between care settings, quality reporting, and research.
Indexed as
Identifiers
What 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.