ArticleFrontiers in digital health2022
Quality assessment of functional status documentation in EHRs across different healthcare institutions.
Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A multi-site benchmarking framework for scalable extraction of geriatric care constructs from electronic health records.npj health systems · 2026Article
- A machine-assisted framework for systematic error analysis in clinical concept extraction.Nature communications · 2026Article
- MedADL: high-throughput information extraction of functional status from electronic health records to advance frailty assessment in older adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- A dynamic risk prediction framework for Alzheimer's disease and related dementias with interpretability.NPJ digital medicine · 2026Article
- Clinical Context Variables Collectively Rival Model Choice in Embedding-Based Retrieval: Multi-Corpus Benchmark Study.JMIR medical informatics · 2026Article
- Mobility functional status ascertainment in electronic health records using large language models.Scientific reports · 2026Article
- Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors.Diagnostics (Basel, Switzerland) · 2026Review
- A Self-Explainable Dynamic Risk Monitoring Framework for Predicting Alzheimer's Disease and Related Dementias.medRxiv : the preprint server for health sciences · 2025Article
- Dynamic few-shot prompting for clinical note section classification using lightweight, open-source large language models.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Aging precisely: Precision medicine through the lens of an older adult.Journal of the American Geriatrics Society · 2024Review
- Challenges and solutions of conducting dementia clinical trials: A palliative care at home pilot for persons with dementia.Journal of the American Geriatrics Society · 2024Article
- A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- FedFSA: Hybrid and federated framework for functional status ascertainment across institutions.Journal of biomedical informatics · 2024Article
- Machine learning functional impairment classification with electronic health record data.Journal of the American Geriatrics Society · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
The secondary use of electronic health records (EHRs) faces challenges in the form of varying data quality-related issues. To address that, we retrospectively assessed the quality of functional status documentation in EHRs of persons participating in Mayo Clinic Study of Aging (MCSA). We used a convergent parallel design to collect quantitative and qualitative data and independently analyzed the findings. We discovered a heterogeneous documentation process, where the care practice teams, institutions, and EHR systems all play an important role in how text data is documented and organized. Four prevalent instrument-assisted documentation (iDoc) expressions were identified based on three distinct instruments: Epic smart form, questionnaire, and occupational therapy and physical therapy templates. We found strong differences in the usage, information quality (intrinsic and contextual), and naturality of language among different type of iDoc expressions. These variations can be caused by different source instruments, information providers, practice settings, care events and institutions. In addition, iDoc expressions are context specific and thus shall not be viewed and processed uniformly. We recommend conducting data quality assessment of unstructured EHR text prior to using the information.
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