ReviewHealthcare (Basel, Switzerland)2014
Human Factors and Human-Computer Considerations in Teleradiology and Telepathology.
Review in Healthcare (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 14 citations in OpenAlex.
- Pathologists light level preferences using the microscope-study to guide digital pathology display use.Journal of pathology informatics · 2024Article
- Obstacles and Solutions Driving the Development of a National Teleradiology Network.Healthcare (Basel, Switzerland) · 2021Article
- A review of existing and potential computer user interfaces for modern radiology.Insights into imaging · 2018Review
- The Challenges of a Complex and Innovative Telehealth Project: A Qualitative Evaluation of the Eastern Quebec Telepathology Network.International journal of health policy and management · 2018Article
- Effect of color visualization and display hardware on the visual assessment of pseudocolor medical images.Medical physics · 2015Article
- Grand challenges in digital health.Frontiers in public health · 2015Article
- Pigeons (Columba livia) as Trainable Observers of Pathology and Radiology Breast Cancer Images.PloS one · 2015Article
- Telemedicine, Telehealth and m-Health: New Frontiers in Medical Practice.Healthcare (Basel, Switzerland) · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiology and pathology are unique among other clinical specialties that incorporate telemedicine technologies into clinical practice, as, for the most part in traditional practice, there are few or no direct patient encounters. The majority of teleradiology and telepathology involves viewing images, which is exactly what occurs without the "tele" component. The images used are generally quite large, require dedicated displays and software for viewing, and present challenges to the clinician who must navigate through the presented data to render a diagnostic decision or interpretation. This digital viewing environment is very different from the more traditional reading environment (i.e., film and microscopy), necessitating a new look at how to optimize reading environments and address human factors issues. This paper will review some of the key components that need to be optimized for effective and efficient practice of teleradiology and telepathology using traditional workstations as well as some of the newer mobile viewing applications.
Indexed as
Identifiers
What 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.