ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012
A qualitative analysis of EHR clinical document synthesis by clinicians.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. 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.
- Clinicians' reasoning as reflected in electronic clinical note-entry and reading/retrieval: a systematic review and qualitative synthesis.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Clinical decision support system for child and adolescent mental health services: a formative usability study.BMC medical informatics and decision making · 2026Article
- Quantitative Analysis of Diagnostic Reasoning Using Initial Electronic Medical Records.Diagnostics (Basel, Switzerland) · 2025Article
- Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- A scoping review of therapeutic reasoning process research.Advances in health sciences education : theory and practice · 2023Article
- Evaluating the Impact on Clinical Task Efficiency of a Natural Language Processing Algorithm for Searching Medical Documents: Prospective Crossover Study.JMIR medical informatics · 2022Article
- Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis.JMIR formative research · 2021Article
- Usage Patterns of Web-Based Stroke Calculators in Clinical Decision Support: Retrospective Analysis.JMIR medical informatics · 2021Article
- Building the evidence-base to reduce electronic health record-related clinician burden.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Searching the PDF Haystack: Automated Knowledge Discovery in Scanned EHR Documents.Applied clinical informatics · 2021Article
- Safe Interorganizational Health Information Exchange During the COVID-19 Pandemic.Journal of the American Medical Directors Association · 2020Article
- Challenges and Opportunities to Improve the Clinician Experience Reviewing Electronic Progress Notes.Applied clinical informatics · 2019Article
- Clinical Documentation in Electronic Health Record Systems: Analysis of Similarity in Progress Notes from Consecutive Outpatient Ophthalmology Encounters.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Detecting clinically relevant new information in clinical notes across specialties and settings.BMC medical informatics and decision making · 2017Article
- Automated methods for the summarization of electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2015Review
- Impact of a prototype visualization tool for new information in EHR clinical documents.Applied clinical informatics · 2012Article
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
Abstract
Clinicians utilize electronic health record (EHR) systems during time-constrained patient encounters where large amounts of clinical text must be synthesized at the point of care. Qualitative methods may be an effective approach for uncovering cognitive processes associated with the synthesis of clinical documents within EHR systems. We utilized a think-aloud protocol and content analysis with the goal of understanding cognitive processes and barriers involved as medical interns synthesized patient clinical documents in an EHR system to accomplish routine clinical tasks. Overall, interns established correlations of significance and meaning between problem, symptom and treatment concepts to inform hypotheses generation and clinical decision-making. Barriers identified with synthesizing EHR documents include difficulty searching for patient data, poor readability, redundancy, and unfamiliar specialized terms. Our study can inform recommendations for future designs of EHR clinical document user interfaces to aid clinicians in providing improved patient care.
Indexed as
Identifiers
23304398PMC3540510What 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.