ArticleJournal of the American Medical Informatics Association : JAMIA2018
Unstructured clinical documentation reflecting cognitive and behavioral dysfunction: toward an EHR-based phenotype for cognitive impairment.
Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Do hospital-to-home transitions work for older adults with multiple long-term conditions including dementia? A realist review.BMC geriatrics · 2025Pooled it
- Barriers to identifying residents with dementia for embedded pragmatic trials: A call to action.Journal of the American Geriatrics Society · 2022Trial
- An Electronic Health Record Algorithm's Performance to Identify Cognitive Impairment in Primary Care.Journal of the American Medical Directors Association · 2026Article
- CARE-AD: a multi-agent large language model framework for Alzheimer's disease prediction using longitudinal clinical notes.NPJ digital medicine · 2025Article
- A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records.NPJ digital medicine · 2025Article
- Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record features.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Extracting Critical Information from Unstructured Clinicians' Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study.JMIR aging · 2024Article
- In-Hospital Delirium and Disability and Cognitive Impairment After COVID-19 Hospitalization.JAMA network open · 2024Article
- Enhancing healthcare access for an older population: The age-friendly emergency department.Journal of the American College of Emergency Physicians open · 2024Review
- Associations of Social Support With Physical and Mental Health Symptom Burden After COVID-19 Hospitalization Among Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Automating risk stratification for geriatric syndromes in the emergency department.Journal of the American Geriatrics Society · 2024Article
- Can Patients with Dementia Be Identified in Primary Care Electronic Medical Records Using Natural Language Processing?Journal of healthcare informatics research · 2023Article
- Future directions in ventilator-induced lung injury associated cognitive impairment: a new sight.Frontiers in physiology · 2023Review
- Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study.Journal of medical Internet research · 2022Article
- Cognitive Function Characterization Using Electronic Health Records Notes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Mail and Telephone Outreach from Electronic Health Records for Research Participation on Cognitive Health and Aging.The journal of prevention of Alzheimer's diseaseArticle
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 at 4 institutions in 1 country.
Funding
Abstract
Despite increased risk for negative outcomes, cognitive impairment (CI) is greatly under-detected during hospitalization. While automated EHR-based phenotypes have potential to improve recognition of CI, they are hindered by widespread under-diagnosis of underlying etiologies such as dementia-limiting the utility of more precise structured data elements. This study examined unstructured data on symptoms of CI in the acute-care EHRs of hip and stroke fracture patients with dementia from two hospitals. Clinician reviewers identified and classified unstructured EHR data using standardized criteria. Relevant narrative text was descriptively characterized and evaluated for key terminology. Most patient EHRs (90%) had narrative text reflecting cognitive and/or behavioral dysfunction common in CI that were reliably classified (κ 0.82). The majority of statements reflected vague descriptions of cognitive/behavioral dysfunction as opposed to diagnostic terminology. Findings from this preliminary derivation study suggest that clinicians use specific terminology in unstructured EHR fields to describe common symptoms of CI. This terminology can inform the design of EHR-based phenotypes for CI and merits further investigation in more diverse, robustly characterized samples.
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.