ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018
Breadcrumbs: Assessing the Feasibility of Automating Provider Documentation Using Electronic Health Record Activity.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Inferring EHR Utilization Workflows through Audit Logs.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Electronic health records and clinician burnout: A story of three eras.Journal of the American Medical Informatics Association : JAMIA · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study assessed the feasibility of automating the generation of the outpatient encounter summary. We reviewed screen tracking video and log-file metadata from electronic health record (EHR) interactions based on two simulated encounters. We mapped the sequence of metadata to key concepts in the video to assess the precision with which the log files aligned with user activity and to generate the Breadcrumbs encounter summary (BES). The BES captured all interactions documented in clinical notes with the exception of the physical exam. The videos addressed all Evaluation and Management (E/M) requirements, while the log files did not contain the physical exam. The BES was as comprehensive as the gold standard visit summary. The BES offers a promising method for the collection and compilation of necessary elements of outpatient clinical documentation. The combination of log files and video could provide evidence of EHR activity satisfying documentation requirements.
Indexed as
Identifiers
30815144PMC6371269What 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.