ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
Concordance of Electronic Health Record (EHR) Data Describing Delirium at a VA Hospital.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Associations between patient portal use and electronic health record (EHR) data timeliness in type 2 diabetes mellitus care.Journal of diabetes and metabolic disorders · 2024Article
- Automating Electronic Health Record Data Quality Assessment.Journal of medical systems · 2023Review
- A novel semiautomatic Chinese keywords instrument screening delirium based on electronic medical records.BMC geriatrics · 2022Article
- Through the Narrative Looking Glass: Commentary on "Impact of Electronic Health Records on Information Practices in Mental Health Contexts: Scoping Review".Journal of medical Internet research · 2022Article
- Physician Information Needs in Managing Delirium.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Differentiating Sense through Semantic Interaction Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundDelirium is a common syndrome in elderly hospitalized patients that is correlated with poor outcomes and higher costs yet health care teams often overlook its diagnosis and treatment. Poor data quality in EHR systems can be contributing to this as a common tool teams use to communicate and record data about their patients.
methodsData were gathered from 30 patients chosen randomly that spanned various data domains in the EHR. These were analyzed for concordance as an indicator of data quality.
resultsConcordance was high between the physician and nursing narrative documentation. The other domains of data were drastically less concordant. DISCUSSION: The low concordance between structured and narrative data domains suggests that clinicians are forgoing the features available in modern EHR systems and opting to work in narrative. For informatics, this can be troubling as narrative data are difficult to compute.
Indexed as
Identifiers
25954416PMC4419955What 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.