ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019
An Interprofessional Approach to Clinical Workflow Evaluation Focused on the Electronic Health Record Using Time motion Study Methods.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 9 citations in OpenAlex.
- Usability Challenges in Electronic Health Records: Impact on Documentation Burden and Clinical Workflow: A Scoping Review.Journal of evaluation in clinical practice · 2025Article
- Multitasking during Medication Management in a Nursing Home: A Time Motion Study.Applied clinical informatics · 2024Article
- Toward ensuring care quality and safety across settings: examining time pressure in a nursing home with observational time motion study metrics based on the Omaha system.Journal of the American Medical Informatics Association : JAMIA · 2023Observational
- Understanding the perceived role of electronic health records and workflow fragmentation on clinician documentation burden in emergency departments.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Characterizing Multitasking and Workflow Fragmentation in Electronic Health Records among Emergency Department Clinicians: Using Time-Motion Data to Understand Documentation Burden.Applied clinical informatics · 2021Article
- Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Documentation burden has become an increasing concern as the prevalence of electronic health records (EHRs) has grown. The implementation of a new EHR is an opportunity to measure and improve documentation burden, as well as assess the role of the EHR in clinician workflow. Time-motion observation is the preferred method for evaluating workflow. In this study, we developed and tested the reliability of an interprofessional taxonomy for use in time-motion observation of nursing and physician workflow before and after a new EHR is implemented at a large academic medical center. Inter-observer reliability assessment sessions were conducted while observing both nurses and physicians. Four out of five observers achieved reliability in an average of 5.75 sessions. Our developed taxonomy demonstrated to be reliable for conducting workflow evaluation of both nurses and physicians, with a focus on time and tasks in the EHR.
Indexed as
Identifiers
32308916PMC7153105W3027635297What 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.