ArticleMedical care2016
Overcoming the Challenges of Unstructured Data in Multisite, Electronic Medical Record-based Abstraction.
Article in Medical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
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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.
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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.
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Who cites it
34 citing papers in PubMed.
- Trial
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- Selective prediction for extracting unstructured clinical data.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- BIR: Biomedical Information Retrieval System for Cancer Treatment in Electronic Health Record Using Transformers.Sensors (Basel, Switzerland) · 2023Article
- Design and evaluation of a Mobile-Based decision support system to enhance lung transplant candidate assessment and management: knowledge translation integrated with clinical workflow.BMC medical informatics and decision making · 2023Article
- Use of Electronic Medical Records (EMR) in Gerontology: Benefits, Considerations and a Promising Future.Clinical interventions in aging · 2023Review
- Recent trends of healthcare information and communication technologies in pediatrics: a systematic review.Clinical and experimental pediatrics · 2022Article
- Association of Neighborhood-Level Disadvantage With Neurofibrillary Tangles on Neuropathological Tissue Assessment.JAMA network open · 2022Article
- Implementation and Evaluation of an Acute Care Multicomponent Intervention for Dementia-Related Behavioral Expressions.Journal of gerontological nursing · 2021Article
- Discharge Communication of Dementia-Related Neuropsychiatric Symptoms and Care Management Strategies During Hospital to Skilled Nursing Facility Transitions.Journal of geriatric psychiatry and neurology · 2021Article
- Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival.JAMA network open · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundUnstructured data encountered during retrospective electronic medical record (EMR) abstraction has routinely been identified as challenging to reliably abstract, as these data are often recorded as free text, without limitations to format or structure. There is increased interest in reliably abstracting this type of data given its prominent role in care coordination and communication, yet limited methodological guidance exists.
objectivesAs standard abstraction approaches resulted in substandard data reliability for unstructured data elements collected as part of a multisite, retrospective EMR study of hospital discharge communication quality, our goal was to develop, apply and examine the utility of a phase-based approach to reliably abstract unstructured data. This approach is examined using the specific example of discharge communication for warfarin management. RESEARCH
designWe adopted a "fit-for-use" framework to guide the development and evaluation of abstraction methods using a 4-step, phase-based approach including (1) team building; (2) identification of challenges; (3) adaptation of abstraction methods; and (4) systematic data quality monitoring. MEASURES: Unstructured data elements were the focus of this study, including elements communicating steps in warfarin management (eg, warfarin initiation) and medical follow-up (eg, timeframe for follow-up).
resultsAfter implementation of the phase-based approach, interrater reliability for all unstructured data elements demonstrated κ's of ≥0.89-an average increase of +0.25 for each unstructured data element.
conclusionsAs compared with standard abstraction methodologies, this phase-based approach was more time intensive, but did markedly increase abstraction reliability for unstructured data elements within multisite EMR documentation.
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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.