ArticleCureus2024
Potential of ChatGPT Schematics to Enhance Patient Understanding and Healthcare Decision-Making.
Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical practice guidelines (CPGs) are essential tools designed to assist healthcare professionals in decision-making by offering evidence-based, patient-centered recommendations for specific conditions. In Japan, while the number of CPGs continues to increase annually, patient-oriented guidelines, specifically designed to facilitate patient understanding and decision-making, remain underdeveloped despite their reliability, thus compromising their essential role in empowering patients to comprehend and make informed decisions regarding their care. The integration of generative AI technologies, like ChatGPT, shows promise in addressing challenges such as the simplification of medical information and the customization of patient communications. These technologies could improve the efficiency and accuracy of patient guidelines, enhancing healthcare outcomes by filling critical information gaps.
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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.