ArticleJAMIA open2021
A mobile application to support bedside nurse documentation and care: a time and motion study.
Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024Pooled it
- Artificial intelligence-enhanced mapping of the international classification of functioning, disability and health via a mobile app: a randomized controlled trial.Frontiers in public health · 2025Trial
- Time Savings Through an AI Speech Assistant for Nursing Documentation: Pre-Post Time-Motion Study in German Long-Term Care.Journal of medical Internet research · 2026Article
- Article
- Factors Affecting Nurses' Walking Distance: Age, Clinical Ladder Level, Wards, Nurse Calls, Weekend, and Patient-To-Nurse Ratio.Journal of nursing management · 2025Article
- Exploring nurse perceptions and experiences of resilience: a meta-synthesis study.BMC nursing · 2022Article
- Using artificial intelligence to reduce queuing time and improve satisfaction in pediatric outpatient service: A randomized clinical trial.Frontiers in pediatrics · 2022Article
- Evaluation of a Web Application for Nursing Records of Multiple Trauma Patients in an Emergency Department.Journal of emergencies, trauma, and shockArticle
- Heuristics used for evaluating the usability of mobile health applications: A systematic literature review.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Documentation at the bedside is still often initiated on paper before being entered in electronic charts, even after implementing electronic health records (EHRs). This 2-step process is time-consuming, a potential source of error, and hinders the use of real-time information. We developed the "Bedside mobility" smartphone application to facilitate bedside documentation in the EHR.
objectiveThis study aims to evaluate the impact of our app in 2 wards of a teaching hospital with a pre-post design. MATERIALS AND
methodsThe duration and location of all documentation activities were recorded using a time motion study.
resultsUsing the app significantly decreased the duration of EHR documentation per hour of observation by 4.10 min ( DISCUSSION: By reducing the fragmentation of documentation workflow, decreasing the overall EHR documentation time and allowing nurses to spend more time with their patients, app use led to potential higher quality of care and higher patient satisfaction and may help maintain a smoother workflow.
conclusionOur mobile app has the potential to positively impact bedside nurses' clinical workflow and documentation, as well as patient-provider communication and relationship.
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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.